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3GPP TSG-RAN WG1 #101e R1- 2003940
May 25th – June 5th, 2020
Title: Simulation Assumptions and Baseline Coverage for FR1
Source: Nomor Research GmbH, Facebook
Type: Discussion
Document for: Agreement
Agenda Item: 8.4.1.1
Study Item: FS_NR_CovEnh: Study on NR coverage enhancement
1 Introduction
In RAN#84, NR coverage enhancement was identified as one of the RAN work areas for Rel-17. The email
discussion on requirements, scenarios and key study areas are well attended by industry and NR coverage
enhancements is approved as a study item in RAN#86. The objective of the study item is to study potential
coverage enhancement solutions for specific scenarios for both FR1 and FR2, firstly by identifying the baseline
coverage performance for both DL and UL [1].
This document presents additional open issues regarding coverage in long-distance scenarios and proposes
clarifications. In addition, this document illustrates the baseline coverage performance of extreme long–range
rural scenarios for FR1, which is identified as one of the target scenarios in [1], both in DL and UL based on
system-level simulations.
2 Requirements regarding long-distance
SA1 defined service requirements for extreme long-range coverage in [2] as follows:
 The 5G system shall support the extreme long-range coverage (up to 100 km) in low density areas
(up to 2 user/km2).
 The 5G system shall support a minimum user throughput of 1 Mbps on DL and 100 kbps on UL at the
edge of coverage.
 The 5G system shall support a minimum cell throughput capacity of 10 Mbps/cell on DL (based on an
assumption of 1 GB/month/sub).
 The 5G system shall support a maximum of [400] ms E2E latency for voice services at the edge of
coverage.
While the data rate requirements of 1 Mbps and 100 kbps for DL and UL, respectively, are well captured in the
SID, there are many open issues beyond these.
2.1 Coverage
During email discussion and drafting the SID, different views on the coverage assumptions have been stated
[3]. While a part of the companies wanted to stick to today’s inter-site distance (ISD) = 6 km of the Rural C
(referred to as Low Mobility Large Cell), there were many companies suggesting to consider extreme long-
range coverage up to 100 km as defined in the SA1 requirements in [2] and the RAN 5G deployment scenario
in [4]. During the discussion there was agreement that at least one larger cell size should be considered. An
ISD = 30 km was considered as suitable compromise to move forward. Since the SID does not explicitly
mention the applicable inter-site distance for the extreme long-distance rural scenario, we suggest that RAN1
confirms this assumption.
Proposal 1: The inter-site distance for the extreme long-distance rural scenario is ISD = 30 km.
Today’s channel models are not verified for distances greater than 21 km. In [5], the pathloss models in Table
7.4.1-1 for RMa scenario indicate an upper limit of 10 km for LOS and 5 km for NLOS. Moreover, in [6], the
pathloss equations in Table A1-5 for both RMa_A and RMa_B channel models include an upper limit of 21 km
for both LOS and NLOS. Therefore, pathloss models are missing for greater distances.
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Email discussions and SID on the coverage enhancement state ISDs that require channel models validated
for distances of more than 21 km, such as in the case of ISD = 30 km. Since the current channel models are
not applicable to such ranges, a new channel model is needed for extreme long-range scenarios. We suggest
that RAN1 confirms this assumption.
Proposal 2: A channel model should be defined for extreme long-distance rural scenario.
2.2 Latency
One way to improve the coverage is the extensive use of HARQ retransmissions or packet aggregation. The
use of this technique will be limited by the allowed overall latency that is defined for the respective scenarios.
Besides Enhanced Mobile Broadband (eMBB), VoNR service needs to be supported in the rural scenarios and
should put the upper limit on the latency requirements. In the latest version of the SA1 requirement specification
[2], the latency value of 400 ms E2E latency for 100 km coverage is still put in brackets, indicating that this is
still to be agreed. Our suggestion is to stick to the regular packet delay budget for 5QI = 1, which is 100 ms for
conversational voice as described in [7].
Proposal 3: The maximum latency for VoNR should be defined as 100 ms one way also in the extreme
long-range scenario.
3 Simulation Scenarios
The evaluation assumptions for the Rel-17 study item on coverage enhancements are not defined, yet. Two
alternatives could be chosen from previous work on rural coverage. There are rural scenarios defined by the
ITU-R in [6]. The Rural C (LMLC) scenario has the largest coverage with ISD = 6000 m and could be extended.
On the other hand, 3GPP defined in [4] an extreme long-distance coverage scenario with an isolated cell and
a range up to 100 km with UE mobility of 160 km/h. In the following, both scenarios and models will be used
to generate our simulation results. We have already provided first system-level simulation results in our
contribution [8] to RAN#86.
In our view, both the Isolated Cell scenario proposed in [4], as well as a multi-cell scenario, such as Low
Mobility Large Cell (LMLC) scenario with ISD = 30 km should be supported. Settings and configurations for
LMLC scenario are well defined in [6], although configurations for extreme-coverage scenario for the Isolated
Cell is left open in [4]. We propose to use the same configurations and assumptions, such as BS and UE
antenna configurations, for Isolated Cell scenario with the LMLC scenario. Moreover, UE mobility settings,
such as UE velocity and UE device deployment, should also be as in the case of LMLC scenario.
Proposal 4: Both Isolated Cell and multi-cell scenario should be supported and therefore be studied
for potential coverage enhancement solutions for FR1.
Proposal 5: Configuration and settings defined for LMLC in [6] should also apply to the Isolated Cell
scenario.
Proposal 6: UE mobility settings defined for LMLC in [6], such as UE velocity and UE device
deployment, should also apply to the Isolated Cell scenario.
Moreover, for VoNR service, we propose to have Semi-Persistent Scheduling (SPS) on DL and Configured
Grant (CG) on UL for higher radio efficiency. We suggest that RAN1 confirms this assumption.
Proposal 7: VoNR service uses Semi-Persistent Scheduling on DL and Configured Grant on UL for
high radio efficiency.
4 Baseline Assumptions and Performance
The parameters for performed simulations are summarized in Table 10 in the Annex. Regarding the channel
model, we assume that the model defined in [6] for the LMLC scenario with a validity of BS-UE distance of 21
km is also valid for greater distances.
Simulations are done by extending the calibrated system-level simulator that has also been used in the IMT-
2020 evaluation process under the umbrella of the 5G Infrastructure Association. To obtain coupling gain
samples from system-level simulations, corresponding transmit power is subtracted from the RSRP samples
collected during the simulation.
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For the performance evaluation of frequency hopping in Sec. 4.3.3, full-scale system-level simulations are
performed. Therefore, rather than collecting RSRP values and processing them in above-mentioned manner,
capabilities of the calibrated system-level simulator are fully exploited and throughput is calculated through
packet transmission/reception. Additional parameters for full-scale system-level simulations are provided in
Table 11 in the Annex.
Moreover, for VoNR, we assume that a VoNR packet is transmitted every 20 ms in a single TTI, but not over
multiple TTIs.
4.1 Performance of Rural C Scenario with 30 km ISD
Figure 1 shows the Cumulative Distribution Function (CDF) of Coupling Gain for the Rural C scenario with 30
km ISD.
Figure 1 CDF of Coupling Gain for Rural C scenario with ISD = 30 km
[4] specifies that for extreme coverage scenarios, Maximum Coupling Loss (MCL) should be 143 dB for a basic
eMBB service of 1 Mbps in DL and 30 kbps in UL. On the other hand, target data rate on SID is 1 Mbps for DL
and 100 kbps for UL. It could be stated that MCL condition is not satisfied for Rural C scenario with 30 km ISD
both in DL and UL.
Observation 1: MCL criterion for extreme coverage is not satisfied for Rural C scenario with 30 km ISD
both in DL and UL for eMBB service.
Proposal 8: Solutions to overcome the limitation of MCL in DL and UL for Rural C scenario with 30 km
ISD should be studied within the study item.
4.1.1 PDSCH and PDCCH Performance
By adding the corresponding transmit power to the coupling loss samples, whose CDF is provided in Figure
1, and subtracting the noise floor, SNR samples are obtained. SNR samples are then mapped to spectral
efficiency (SE) values using the approach in Annex A.2 Link Level Performance Model of [9] and link level
results for SISO AWGN channel with a BLER target 0.1 for PDSCH. While doing so, we have used MCS index
table 2 in [10] and up to 8 HARQ transmissions are allowed. The parameter alpha for scaling of spectral
efficiency in the model of [9] is found to be 0.88.
Different bandwidths (BWs) are applied to SE samples, accounting for respective pilot overheads and guard
bands, and different throughput distributions are obtained. For 1 Mbps DL data rate target of eMBB, 5.5 MHz
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is found as the required BW, since 5%-ile of the throughput CDF corresponds to 1 Mbps. Thus, we can state
that target data rate in DL could be achieved with a reasonable BW using existing MCSs. Figure 2 illustrates
the PDSCH throughput CDF when system BW is 5.5 MHz.
Figure 2 CDF of UE throughput for Rural C scenario with system BW = 5.5 MHz and ISD = 30 km for eMBB
Required BW of 5.5 MHz translates to a required SE of 0.262 bit/s/Hz and a required SNR of -6.4 dB. Looking
at PDCCH link level curves, e.g. in [11], we observe that aggregation level 4 corresponds to a BLER less than
0.001 at the required SNR of PDSCH. Thus, we can conclude that PDCCH is sufficiently robust in this case.
Observation 2: DL throughput target of 1 Mbps of eMBB service is satisfied for Rural C scenario with
a feasible BW of 5.5 MHz. PDCCH is robust at the required SNR of PDSCH.
In addition, same procedure is performed for VoNR service. Once again, different BWs are applied to SE
samples, accounting for respective pilot overheads and guard bands, and different throughput distributions are
obtained. For 12.2 kbps data rate target of VoNR, 1.3 MHz is found as the required BW in DL, since 5%-ile of
the throughput CDF corresponds to the target throughput.
Required BW of 1.3 MHz translates to a required SE of 0.19 bit/s/Hz and a required SNR of -8 dB. Looking at
PDCCH link level curves, we observe that aggregation level 8 corresponds to a BLER way below 0.0001 at
the required SNR of PDSCH. Thus, we can conclude that PDCCH is sufficiently robust in this case.
Observation 3: DL throughput target of 12.2 kbps of VoNR service is satisfied for Rural C scenario with
a feasible BW of 1.3 MHz. PDCCH is robust at the required SNR of PDSCH.
4.1.2 PUSCH Performance
By adding the corresponding transmit power per number of PRBs allocated (we have assumed that specific
number of PRBs are allocated to the UE) to the coupling loss samples, and subtracting the noise floor, SNR
samples are obtained. In the case of UL of eMBB service, we assumed that the UE is scheduled in every TTI
and uses maximum power, as coverage limited UEs typically do. Figure 3 illustrates the obtained CDFs of
SNR for different number of PRB allocations.
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Figure 3 CDF of SNR for Rural C scenario with ISD = 30 km for different PRB allocations
As the number of allocated PRBs increases, SNR decreases since the total power is distributed across more
PRBs. SNR values are mapped to SE values using the same method described in Sec. 4.1.1. While doing so,
MCS index table 1 in [10] is assumed to be used and 8 HARQ transmissions are allowed. Alpha parameter is
found to be 0.82.
Obtained SE values are converted to throughput samples by applying respective BW of each PRB allocation.
Table 1 provides 5%-ile throughput of eMBB, obtained from the CDF of throughput samples for each PRB
allocation. In addition, coverage percentage for the target UL data rate of 100 kbps is given.
Table 1 UL performance of eMBB for different PRB allocations for Rural C scenario with ISD = 30 km
Number of
Allocated
PRBs
1 3 5 7 10 15 20 30
5%-ile
Throughput
[kbps]
18 18 0 0 0 0 0 0
Coverage
Percentage
for 100 kbps
79% 80% 81% 81% 81% 81% 80% 75%
It is observed that none of the allocation configurations can meet the target UL data rate with at least 95%
coverage. For PRB allocations other than 1 PRB and 3 PRBs, 5%-ile of respective SNR curves corresponds
to a lower value than minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%-
ile in their respective throughput CDFs. Coverage percentage for the target data rate is maximum for 5, 7, 10
and 15 PRB allocations with 81%, meaning that 81% of the UEs can be served with the target data rate of 100
kbps or more.
Observation 4: UL throughput target of 100 kbps of eMBB service cannot be met for Rural C scenario.
In case of VoNR service, for UL, we assumed that the UE transmits a VoNR packet every 20 ms in a single
TTI, and uses maximum power. Once again, obtained SE values are converted to throughput samples by
applying respective BW of each PRB allocation. Table 2 provides 5%-ile throughput, obtained from the CDF
6/18
of throughput samples for each PRB allocation. In addition, coverage percentage for the target data rate of
12.2 kbps is given.
Table 2 UL performance of VoNR for different PRB allocations for Rural C scenario with ISD = 30 km
Number of
Allocated
PRBs
1 3 5 7 10
5%-ile
Throughput
[kbps]
0.9 0.9 0 0 0
Coverage
Percentage
for 12.2 kbps
68% 68% 69% 70% 70%
It is observed that none of the allocation configurations can meet the target data rate with at least 95%
coverage. For PRB allocations other than 1 PRB and 3 PRBs, 5%-ile of respective SNR curves corresponds
to a lower value than minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%-
ile in their respective throughput CDFs. Coverage percentage for the target data rate is maximum for 7 and 10
PRB allocations with 70%, meaning that 70% of the UEs can be served with the target data rate of 12.2 kbps
or more.
Observation 5: UL throughput target of 12.2 kbps of VoNR service cannot be met for Rural C scenario
when packet aggregation and segmentation are not applied.
Proposal 9: Solutions to overcome the problem of coverage in terms of UL UE throughput for Rural C
scenario with 30 km ISD should be studied within the study item.
4.2 Performance of Isolated Cell Scenario with 10 km Drop Radius
Figure 4 shows the CDF of Coupling Gain for the Isolated Cell scenario with 10 km drop radius.
Figure 4 CDF of Coupling Gain for Isolated Cell scenario with 10 km drop radius
MCL criterion of 143 dB for 1 Mbps DL and 30 kbps UL data rate is not satisfied by the Isolated Cell scenario
with 10 km drop radius.
Observation 6: MCL criterion for extreme coverage is not satisfied for Isolated Cell scenario both in
DL and UL for eMBB service.
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Proposal 10: Solutions to overcome the limitation of MCL both in DL and UL for Isolated Cell scenario
with 10 km drop radius should be studied within the study item.
4.2.1 PDSCH and PDCCH Performance
Same procedures and assumptions are followed with Rural C to convert coupling loss samples to SE values.
Different BWs are applied to SE samples, accounting for respective pilot overheads and guard bands, so that
different throughput distributions are obtained. For 1 Mbps DL data rate target of eMBB, 7 MHz is found to be
the required BW, since 5%-ile of the throughput CDF corresponds to 1 Mbps. Thus, we can state that target
data rate in DL could be achieved with a reasonable BW using existing MCSs. Figure 5 illustrates the DL
throughput CDF when system BW is 7 MHz.
Figure 5 CDF of UE throughput for Isolated Cell scenario with system BW = 7 MHz and 10 km drop radius
for eMBB
7 MHz required BW translates to a required SE of 0.222 bit/s/Hz and a required SNR of -7.2 dB. Looking at
PDCCH link level curves e.g. in [11], we observe that aggregation level 4 corresponds to a BLER close to
0.001 or way below 0.0001 for aggregation level 8 at the required SNR of PDSCH. Thus, we can conclude that
PDCCH is sufficiently robust in this case.
Observation 7: DL throughput target of 1 Mbps of eMBB service is satisfied for Isolated Cell scenario
with a feasible BW of 7 MHz. PDCCH is sufficiently robust at the required SNR of PDSCH.
Once more, the same procedure is performed for VoNR service. Different BWs are applied to SE samples,
accounting for respective pilot overheads and guard bands, and different throughput distributions are obtained.
For 12.2 kbps data rate target of VoNR, 1.6 MHz is found as the required BW in DL, since 5%-ile of the
throughput CDF corresponds to the target throughput.
Required BW of 1.6 MHz translates to a required SE of 0.16 bit/s/Hz and a required SNR of -9 dB. Looking at
PDCCH link level curves, we observe that aggregation level 8 corresponds to a BLER less than 0.001 at the
required SNR of PDSCH. Thus, we can conclude that PDCCH is sufficiently robust in this case.
Observation 8: DL throughput target of 12.2 kbps of VoNR service is satisfied for Isolated Cell scenario
with a feasible BW of 1.6 MHz. PDCCH is robust at the required SNR of PDSCH.
8/18
4.2.2 PUSCH Performance
Same procedures and assumptions are followed with Rural C to convert coupling loss samples to SE values
for PUSCH. Figure 6 illustrates the CDFs of SNR for different number of PRB allocations.
Figure 6 CDF of SNR for Isolated Cell scenario with 10 km drop radius for different PRB allocations
Obtained SE values are converted to throughput samples by applying respective BW of each PRB allocation.
Table 3 provides 5%-ile throughput of eMBB, obtained from the CDF of throughput samples for each PRB
allocation. In addition, coverage percentage for the target UL data rate of 100 kbps is given.
Table 3 UL performance of eMBB for different PRB allocations for Isolated Cell scenario with 10 km drop
radius
Number of
Allocated
PRBs
1 3 5 10 15 20 30
5%-ile
Throughput
[kbps]
14 0 0 0 0 0 0
Coverage
Percentage
for 100 kbps
78% 80% 80% 80% 80% 79% 74%
It is observed that none of the allocations can meet the target UL data rate with 95% coverage. For PRB
allocations other than 1 PRB, the 5%-ile of the respective SNR curve corresponds to a lower value than the
minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%-ile in their respective
throughput CDFs. Coverage percentage for the target data rate is maximum for 3, 5, 10 and 15 PRB allocations
with 80%, meaning that 80% of the UEs can be served with the target data rate of 100 kbps or more.
Observation 9: UL throughput target of 100 kbps of eMBB cannot be met for Isolated Cell scenario.
9/18
Once again for VoNR service, obtained SE values are converted to throughput samples by applying respective
BW of each PRB allocation. Table 4 provides 5%-ile throughput, obtained from the CDF of throughput samples
for each PRB allocation. In addition, coverage percentage for the target data rate of 12.2 kbps is given.
Table 4 UL performance of VoNR for different PRB allocations for Isolated Cell scenario with 10 km drop
radius
Number of
Allocated
PRBs
1 3 5 7 10
5%-ile
Throughput
[kbps]
0.75 0 0 0 0
Coverage
Percentage
for 12.2 kbps
59% 67% 68% 69% 69%
It is observed that none of the allocation configurations can meet the target data rate with at least 95%
coverage. For PRB allocations other than 1 PRB, 5%-ile of respective SNR curves corresponds to a lower
value than minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%-ile in their
respective throughput CDFs. Coverage percentage for the target data rate is maximum for 7 and 10 PRB
allocations with 69%, meaning that 69% of the UEs can be served with the target data rate of 12.2 kbps or
more.
Observation 10: UL throughput target of 12.2 kbps of VoNR service cannot be met for Isolated Cell
scenario when packet aggregation and segmentation are not applied.
Proposal 11: Solutions to overcome the problem of coverage in terms of UL UE throughput for Isolated
Cell scenario with 10 km drop radius should be studied within the study item.
4.3 Baseline Simulation Assumptions
Here, we provide the simulation results for Rel-15 time-domain packet aggregation, increased BS antenna
height and Rel-15 frequency hopping, in order to assess the coverage performance to consider them as
baseline simulation assumptions. In addition, we provide a discussion on increased number of antenna
elements at BSs as a baseline simulation assumption.
4.3.1 PUSCH Aggregation
For consideration as a baseline simulation assumption, Rel-15 aggregation (i.e. TTI bundling) is tested for
eMBB and VoNR services. While doing so, we have assumed that an aggregation factor of 4 is used in the
system. Corresponding modification introduced by the aggregation to the analysis described in previous
sections is to change the minimum SNR to be mapped to a non-zero SE, when applying the approach in Annex
A.2 Link Level Performance Model of [9]Fehler! Verweisquelle konnte nicht gefunden werden.[9].
Results of eMBB service for both Rural C and Isolated Cell scenarios are illustrated in Table 5.
Table 5 eMBB UL performance of aggregation for different PRB allocations for Rural C scenario with ISD =
30 km and Isolated Cell scenario with 10 km drop radius
Number of
Allocated
PRBs
1 3 5 10 15 20 30
Rural C
with
Aggregation
Factor 4
5%-ile
Throughput
[kbps]
18 18 18 18 0 0 0
Coverage
Percentage
for 100 kbps
79% 81% 81% 81% 81% 81% 81%
10/18
Isolated
Cell with
Aggregation
Factor 4
5%-ile
Throughput
[kbps]
15 15 15 15 0 0 0
Coverage
Percentage
for 100 kbps
78% 80% 80% 80% 80% 80% 80%
It is observed that none of the allocations can provide the target UL data rate of 100 kbps to 95% of the UEs
even with aggregation in neither of the scenarios.
For Rural C scenario, no increase is observed in 5%-ile throughput when 1 PRB and 3 PRBs are allocated,
compared to the performance of the same scenario without aggregation illustrated in Table 1. In addition, for
some number of PRB allocations, such as 5 and 10, 5%-ile throughput increased from 0 to 18 kbps. The gain
stems from the fact that the minimum SNR to be mapped to a non-zero SE decreases due to aggregation and
large number of PRB allocations suffer from low SNR. Coverage percentage for 100 kbps also increases in
some of the allocations with aggregation, although it is still not enough to meet the performance target.
For Isolated Cell scenario, only a 1 kbps increase is observed in 5%-ile throughput when 1 PRB is allocated,
compared to the performance of the same scenario without aggregation shown in Table 3. Again, due to the
same reasoning mentioned for Rural C, some of the other allocations start to have a non-zero 5%-ile
throughput, although the values still do not satisfy the performance criterion.
In summary, we observe that aggregation is not useful to achieve 95% coverage with the UL data rate target
of 100 kbps, but it can increase coverage for even lower UL data rate targets.
Observation 11: UL throughput target of 100 kbps of eMBB cannot be met for Rural C and Isolated Cell
scenarios even when aggregation is used to enhance coverage.
Observation 12: Compared to the performance of Rural C and Isolated Cell scenarios without
aggregation, negligible amount of performance gain in terms of coverage is obtained when
aggregation is used in UL for eMBB service.
Proposal 12: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) is not a baseline
simulation assumption for eMBB service of rural scenarios considering the defined throughput
performance targets.
For VoNR, we have again assumed an aggregation factor of 4 is used in the system. Results of VoNR service
for both Rural C and Isolated Cell scenarios are illustrated in Table 6.
Table 6 VoNR UL performance of aggregation for different PRB allocations for Rural C scenario with ISD =
30 km and Isolated Cell scenario with 10 km drop radius
Number of
Allocated
PRBs
1 3 5 7 10
Rural C
with
Aggregation
Factor 4
5%-ile
Throughput
[kbps]
3.6 3.6 3.6 3.6 0
Coverage
Percentage
for 12.2
kbps
85% 86% 86% 86% 86%
Isolated
Cell with
Aggregation
Factor 4
5%-ile
Throughput
[kbps]
3 3 3 0 0
Coverage
Percentage
for 12.2
kbps
84% 85% 85% 85% 85%
11/18
It is observed that none of the allocations can provide the target UL data rate of 12.2 kbps for 95% of the UEs
even with aggregation in neither of the scenarios.
For Rural C scenario, 5%-ile throughput increased by a factor of 4 for allocations of 1 PRB and 3 PRBs,
compared to the performance of the same scenario without aggregation illustrated in Table 2. In addition, for
other PRB allocations, throughput increased from 0 to 3.6 kbps. The gain stems from the fact that the minimum
SNR to be mapped to a non-zero SE decreases due to aggregation and large number of PRB allocations suffer
from low SNR. Coverage percentage for 12.2 kbps also increased in all of the allocations with aggregation,
although it is still not enough to meet the performance target.
For Isolated Cell scenario, 5%-ile throughput increased by a factor of 4 when 1 PRB is allocated, compared to
the performance of the same scenario without aggregation shown in Table 4. Again, due to the same reasoning
mentioned for Rural C, other allocations start to have a non-zero 5%-ile throughput, although the values still
do not satisfy the performance criterion.
While causing additional resource consumption, aggregation factor of 16 would satisfy 12.2 kbps UL
throughput target for Rural C scenario, although it would still not be sufficient for Isolated Cell scenario. In
addition, in case of aggregation factor 16, we should note that the number of HARQ transmissions would be
limited to 1.
Observation 13: UL throughput target of 12.2 kbps of VoNR cannot be met for Rural C and Isolated Cell
scenarios when aggregation factor 4 is used to enhance coverage without packet segmentation.
Observation 14: Compared to the performance of Rural C and Isolated Cell scenarios without
aggregation, significant amount of performance gain in terms of coverage is obtained when
aggregation is used in UL for VoNR service.
Proposal 13: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) without
segmentation is not a baseline assumption for VoNR service of rural scenarios considering the defined
throughput performance targets.
4.3.2 Increased BS Antenna Height
For consideration as a baseline simulation assumption, larger BS antenna heights are tested for eMBB service.
Channel models in 16[5] and [6] that are defined for rural scenarios have an applicability range for the BS
antenna height from 10 m to 150 m. As provided in Table 10 in Annex and as given in 16[5] and [6], Rural C
and Isolated Cell scenarios use BSs with 35 m height. We have tested larger BS antenna heights to see their
impact on coverage in UL.
When BS antenna height is varied, different electrical tilts are applied to improve performance. Table 12 and
Table 13 in Annex illustrate the configured electrical tilts for each of the test cases. Other simulation parameters
are set to the values in Table 10.
UL performance of the Rural C scenario with different BS antenna heights are shown in Table 7Fehler!
Verweisquelle konnte nicht gefunden werden.Fehler! Verweisquelle konnte nicht gefunden
werden.Fehler! Verweisquelle konnte nicht gefunden werden..
Table 7 UL performance for different PRB allocations and different BS antenna heights for Rural C scenario
with ISD = 30 km
Number of
Allocated
PRBs
1 3 5 10 15 20 30
Rural C
with BS
Antenna
Height =
50 m
5%-ile
Throughput
[kbps]
41 44 45 0 0 0 0
Coverage
Percentage
for 100 kbps
88% 91% 91% 91% %91 90% 86%
Rural C
with BS
Antenna
5%-ile
Throughput
[kbps]
108 130 136 142 143 143 0
12/18
Height =
75 m
Coverage
Percentage
for 100 kbps
95% 96% 96% 96% 96% 96% 94%
Rural C
with BS
Antenna
Height =
80 m
5%-ile
Throughput
[kbps]
149 190 203 214 219 220 224
Coverage
Percentage
for 100 kbps
97% 97% 98% 98% 98% 97% 96%
Rural C
with BS
Antenna
Height =
100 m
5%-ile
Throughput
[kbps]
193 267 290 309 321 324 330
Coverage
Percentage
for 100 kbps
98% 98% 98% 98% 98% 98% 97%
Rural C
with BS
Antenna
Height =
150 m
5%-ile
Throughput
[kbps]
355 593 710 825 894 913 967
Coverage
Percentage
for 100 kbps
99% 99% 99% 99% 99% 99% 99%
By comparing the performance of the same scenario with an antenna height of 35 m in Table 1, with the
performance results shown here in Table 7Fehler! Verweisquelle konnte nicht gefunden werden., it is
observed that the coverage performance is enhanced with increasing BS antenna height.
When BS antenna height is 50 m, still none of the allocations can provide the target UL data rate to 95% of
the UEs, although the coverage performance is better compared to the system performance with 35 m BS
antenna height.
When BS antenna height is 75 m, the allocations other than 30 PRBs can provide UL data rate target to at
least 95% of the UEs. Thus, we state that with 75 m BS antenna height, coverage criterion of 100 kbps for
PUSCH is satisfied for Rural C scenario with ISD = 30 km.
BS antenna heights of 80 m, 100 m and 150 m perform even better in terms of coverage. When antenna height
is 150 m, all the allocations can provide 99% of the UEs the target throughput of 100 kbps in UL.
Observation 15: System performance of Rural C scenario with 30 km ISD satisfies the UL data rate
target of 100 kbps when BS antenna height is 75 m or higher.
UL performance of the Isolated Cell scenario with different BS antenna heights are shown in Table 8Fehler!
Verweisquelle konnte nicht gefunden werden.Fehler! Verweisquelle konnte nicht gefunden werden..
Table 8 UL performance for different PRB allocations and different BS antenna heights for Isolated Cell
scenario with 10 km drop radius
Number of
Allocated
PRBs
1 3 5 10 15 20 30
Isolated
Cell with
BS
Antenna
Height =
50 m
5%-ile
Throughput
[kbps]
41 44 45 0 0 0 0
Coverage
Percentage
for 100 kbps
89% 90% 90% 91% 91% 90% 87%
Isolated
Cell with
BS
5%-ile
Throughput
[kbps]
106 128 133 139 141 143 0
13/18
Antenna
Height =
75 m
Coverage
Percentage
for 100 kbps
95% 96% 96% 96% 96% 95% 94%
Isolated
Cell with
BS
Antenna
Height =
80 m
5%-ile
Throughput
[kbps]
135 171 181 190 194 194 199
Coverage
Percentage
for 100 kbps
96% 97% 97% 97% 97% 96% 95%
Isolated
Cell with
BS
Antenna
Height =
100 m
5%-ile
Throughput
[kbps]
188 252 275 297 301 317 310
Coverage
Percentage
for 100 kbps
97% 98% 98% 98% 98% 98% 97%
Isolated
Cell with
BS
Antenna
Height =
150 m
5%-ile
Throughput
[kbps]
307 490 561 644 683 693 724
Coverage
Percentage
for 100 kbps
99% 99% 99% 99% 99% 99% 98%
From the performance of the same scenario with 35 m BS antenna height, illustrated in Table 3,Table 1 and
here from Table 8, it is observed that coverage performance is enhanced with increasing BS antenna height.
When BS antenna height is 50 m, none of the allocations can provide the target UL data rate to 95% of the
UEs, although the coverage performance is better compared to the system performance with 35 m BS antenna
height.
When BS antenna height is 75 m, allocations of 1-20 PRBs can provide UL data rate target to at least 95% of
the UEs. We can state that with 75 m BS antenna height, coverage criterion for PUSCH is satisfied for Isolated
Cell scenario with drop radius of 10 km.
BS antenna heights of 80 m, 100 m and 150 m perform even better in terms of coverage.
Observation 16: System performance of Isolated Cell scenario with 10 km drop radius satisfies the UL
data rate target of 100 kbps when BS antenna height is 75 m or higher.
It should be discussed in RAN1 if a higher antenna height should be captured as the baseline for the simulation
assumptions.
Proposal 14: RAN1 should discuss whether a BS antenna height of 75 m should be defined as the
baseline assumption or if this height is considered too high for real-world scenarios.
4.3.3 Frequency Hopping
For the performance evaluation of frequency hopping for eMBB service, full-scale system-level simulations are
performed. As in case of coupling loss analysis held throughout this document, MCS index table 1 in [10] is
used and 8 HARQ transmissions are allowed also in full-scale system-level simulations.
According to [10], there are two types of frequency hopping modes that can be configured for PUSCH:
 Intra-slot frequency hopping, applicable to single slot and multi-slot PUSCH transmission.
 Inter-slot frequency hopping, applicable to multi-slot PUSCH transmission.
In addition, frequency hopping offset can freely be chosen and frequency hopping can be enabled only when
resource allocation is of type 1, i.e. contiguous resource allocation. Therefore, we have tested a configuration,
where the UEs that are in worse channel conditions use DFTS-OFDM (thus contiguous PRB allocations are
made to those UEs) and the UEs that are in better channel conditions use conventional OFDM. Switching
between DFTS-OFDM and OFDM for a UE is made based on the serving cell RSRP. If the serving cell RSRP
goes below -120 dBm, the UE switches to DFTS-OFDM, otherwise it uses conventional OFDM. Moreover, in
14/18
scenarios where frequency hopping is enabled, UEs that use DFTS-OFDM is directly assumed to be using
frequency hopping and UEs that use conventional OFDM do not perform frequency hopping.
Inter-slot frequency hopping with a hopping offset of 20 PRBs is tested (system bandwidth is 10 MHz with 52
PRBs at 700 MHz). The results for Rural C and Isolated Cell scenarios where only DFTS-OFDM is enabled
and where DFTS-OFDM is enabled along with frequency hopping are given in Table 9Fehler! Verweisquelle
konnte nicht gefunden werden..
Table 9 UL performance for DFTS-OFDM and frequency hopping for Rural C scenario with ISD = 30 km and
Isolated Cell scenario with 10 km drop radius
5%-ile
Throughput
[kbps]
Percentage of
DFTS-OFDM
Usage
Rural C with DFTS-
OFDM
2.9 49%
Rural C with DFTS-
OFDM and Frequency
Hopping
27.5 46%
Isolated Cell with DFTS-
OFDM
30.9 54%
Isolated Cell with DFTS-
OFDM and Frequency
Hopping
72.3 52%
From Table 9Fehler! Verweisquelle konnte nicht gefunden werden., it is observed that the 5%-ile UE
throughput significantly increased when frequency hopping is enabled for both Rural C and Isolated Cell
scenarios. Frequency hopping provides frequency diversity and mitigates fading effects.
Although the criterion of 100 kbps UL throughput is still not satisfied for both of the scenarios, the results
indicate that frequency hopping significantly enhances cell-edge performance.
Observation 17: Frequency hopping significantly enhances the cell-edge performance.
Observation 18: System performance of Rural C scenario with 30 km ISD and Isolated Cell scenario
with 10 km drop radius cannot satisfy the UL date rate target of 100 kbps.
Proposal 15: RAN1 should agree on Rel-15 frequency hopping as the baseline assumption for
simulations on coverage enhancements in FR1. Potential enhancements should be compared to NR
Rel-15 with frequency hopping.
4.3.4 Increased Number of Antenna Elements at BSs
From the baseline coverage performance results provided in previous sections of this document, both for Rural
C and Isolated Cell scenarios, we claim that the link-budget should be improved to enhance coverage in UL.
To improve link-budget, beamforming gain at BS side can be increased by increasing the number of antenna
elements, e.g. having 8 columns instead of 4 columns of antenna elements in Rural C and Isolated Cell
scenarios.
If we consider a λ/2 separation between antenna elements, where λ is the wavelength of the signal at
corresponding carrier frequency, then with 4 columns of antenna elements at 700 MHz carrier frequency, the
antenna array width is ~0.86 m. If we double the number of antenna elements and have 8 columns instead of
4 columns on the antenna array, then antenna array width would double, reaching to a value ~1.7 m.
Considering the extreme long-range requires high tower deployments (see Sec. 4.3.2) such large antenna
array sizes might be feasible. We propose to have the discussion of the issue in RAN1 group.
Proposal 16: RAN1 should discuss if an antenna array with 8 columns and 8 rows of cross-polarized
antenna elements should be defined as the baseline assumption or a potential solution for the extreme
coverage scenario at 700 MHz or if such antenna array size is considered too large for real-world
scenarios.
15/18
Finally, the performance results of Sec. 4 should serve as baseline performance, such that the performance
of the enhancement solutions should be evaluated against this baseline performance. It is suggested to
capture the results of Sec. 4 in TR 38.830 “Study on NR coverage enhancements”.
Proposal 17: The results of Sec. 4 should be captured in TR 38.830 “Study on NR coverage
enhancements”.
5 Conclusion and Proposals
In this document, we discussed open issues regarding coverage in long-distance scenarios and proposed
clarifications. The following proposals are made:
Proposal 1: The inter-site distance for the extreme long-distance rural scenario is ISD = 30 km.
Proposal 2: A channel model should be defined for extreme long-distance rural scenario.
Proposal 3: The maximum latency for VoNR should be defined as 100 ms one way also in the extreme
long-range scenario.
Proposal 4: Both Isolated Cell and multi-cell scenario should be supported and therefore be studied
for potential coverage enhancement solutions for FR1.
Proposal 5: Configuration and settings defined for LMLC in [6] should also apply to the Isolated Cell
scenario.
Proposal 6: UE mobility settings defined for LMLC in [6], such as UE velocity and UE device
deployment, should also apply to the Isolated Cell scenario.
Proposal 7: VoNR service uses Semi-Persistent Scheduling on DL and Configured Grant on UL for
high radio efficiency.
In addition, we have illustrated the baseline coverage performance of extreme long–range rural scenarios,
including Rural C scenario with 30 km ISD and Isolated Cell scenario with 10 km drop radius, for FR1 in both
DL and UL based on system-level simulations. The following observations and corresponding proposals are
made:
Observation 1: MCL criterion for extreme coverage is not satisfied for Rural C scenario with 30 km ISD
both in DL and UL for eMBB service.
Proposal 8: Solutions to overcome the limitation of MCL in DL and UL for Rural C scenario with 30 km
ISD should be studied within the study item.
Observation 2: DL throughput target of 1 Mbps of eMBB service is satisfied for Rural C scenario with
a feasible BW of 5.5 MHz. PDCCH is robust at the required SNR of PDSCH.
Observation 3: DL throughput target of 12.2 kbps of VoNR service is satisfied for Rural C scenario with
a feasible BW of 1.3 MHz. PDCCH is robust at the required SNR of PDSCH.
Observation 4: UL throughput target of 100 kbps of eMBB service cannot be met for Rural C scenario.
Observation 5: UL throughput target of 12.2 kbps of VoNR service cannot be met for Rural C scenario
when packet aggregation and segmentation are not applied.
Proposal 9: Solutions to overcome the problem of coverage in terms of UL UE throughput for Rural C
scenario with 30 km ISD should be studied within the study item.
Observation 6: MCL criterion for extreme coverage is not satisfied for Isolated Cell scenario both in
DL and UL for eMBB service.
Proposal 10: Solutions to overcome the limitation of MCL both in DL and UL for Isolated Cell scenario
with 10 km drop radius should be studied within the study item.
Observation 7: DL throughput target of 1 Mbps of eMBB service is satisfied for Isolated Cell scenario
with a feasible BW of 7 MHz. PDCCH is sufficiently robust at the required SNR of PDSCH.
Observation 8: DL throughput target of 12.2 kbps of VoNR service is satisfied for Isolated Cell scenario
with a feasible BW of 1.6 MHz. PDCCH is robust at the required SNR of PDSCH.
Observation 9: UL throughput target of 100 kbps of eMBB cannot be met for Isolated Cell scenario.
16/18
Observation 10: UL throughput target of 12.2 kbps of VoNR service cannot be met for Isolated Cell
scenario when packet aggregation and segmentation are not applied.
Proposal 11: Solutions to overcome the problem of coverage in terms of UL UE throughput for Isolated
Cell scenario with 10 km drop radius should be studied within the study item.
Observation 11: UL throughput target of 100 kbps of eMBB cannot be met for Rural C and Isolated Cell
scenarios even when aggregation is used to enhance coverage.
Observation 12: Compared to the performance of Rural C and Isolated Cell scenarios without
aggregation, negligible amount of performance gain in terms of coverage is obtained when
aggregation is used in UL for eMBB service.
Proposal 12: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) is not a baseline
simulation assumption for eMBB service of rural scenarios considering the defined throughput
performance targets.
Observation 13: UL throughput target of 12.2 kbps of VoNR cannot be met for Rural C and Isolated Cell
scenarios when aggregation factor 4 is used to enhance coverage without packet segmentation.
Observation 14: Compared to the performance of Rural C and Isolated Cell scenarios without
aggregation, significant amount of performance gain in terms of coverage is obtained when
aggregation is used in UL for VoNR service.
Proposal 13: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) without
segmentation is not a baseline assumption for VoNR service of rural scenarios considering the defined
throughput performance targets.
Observation 15: System performance of Rural C scenario with 30 km ISD satisfies the UL data rate
target of 100 kbps when BS antenna height is 75 m or higher.
Observation 16: System performance of Isolated Cell scenario with 10 km drop radius satisfies the UL
data rate target of 100 kbps when BS antenna height is 75 m or higher.
Proposal 14: RAN1 should discuss whether a BS antenna height of 75 m should be defined as the
baseline assumption or if this height is considered too high for real-world scenarios.
Observation 17: Frequency hopping significantly enhances the cell-edge performance.
Observation 18: System performance of Rural C scenario with 30 km ISD and Isolated Cell scenario
with 10 km drop radius cannot satisfy the UL date rate target of 100 kbps.
Proposal 15: RAN1 should agree on Rel-15 frequency hopping as the baseline assumption for
simulations on coverage enhancements in FR1. Potential enhancements should be compared to NR
Rel-15 with frequency hopping.
Proposal 16: RAN1 should discuss if an antenna array with 8 columns and 8 rows of cross-polarized
antenna elements should be defined as the baseline assumption or a potential solution for the extreme
coverage scenario at 700 MHz or if such antenna array size is considered too large for real-world
scenarios.
Proposal 17: The results of Sec. 4 should be captured in TR 38.830 “Study on NR coverage
enhancements”.
6 References
[1] 3GPP TDoc RP-193290 “New SID on NR coverage enhancement”, December 2019
[2] 3GPP TS 22.261 V17.1.0 (2019-12) “Service requirements for the 5G system; Stage 1 (Release 17)”
https://www.3gpp.org/DynaReport/22261.htm
[3] 3GPP TDoc RP-191886 “Summary of email discussion on NR coverage enhancement”, September
2019
[4] 3GPP TS 38.913 V15.0.0 (2018-07) “Study on scenarios and requirements for next generation access
technologies (Release 15)”
https://www.3gpp.org/DynaReport/38913.htm
[5] 3GPP TS 38.901 V15.1.0 (2019-09) “Study on channel model for frequencies from 0.5 to 100 GHz
(Release 15)”
17/18
https://www.3gpp.org/DynaReport/38901.htm
[6] Report ITU-R M.2412-0 (2017-10) “Guidelines for evaluation of radio interface technologies for IMT-
2020”
https://www.itu.int/dms_pub/itu-r/opb/rep/R-REP-M.2412-2017-PDF-E.pdf
[7] 3GPP TS 23.501 V16.3.0 (2019-12) “System architecture for the 5G system (5GS); Stage 2 (Release
16)”
https://www.3gpp.org/DynaReport/23501.htm
[8] 3GPP TDoc RP-192901 “Motivation paper and first results on Rel.17 Coverage Enhancements”,
December 2019
[9] 3GPP TR 36.942 V15.0.0 (2018-06) “Radio Frequency (RF) system scenarios (Release 15)”
https://www.3gpp.org/DynaReport/36942.htm
[10] 3GPP TS 38.214 V15.8.0 (2019-12) “Physical layer procedures for data (Release 15)”
https://www.3gpp.org/DynaReport/38214.htm
[11] Hongzhi Chen, De Mi, Manuel Fuentesx, Eduardo Garrox, Jose Luis Carcely, Belkacem Moulhochney,
Pei Xiao, Rahim Tafazolli, “On the Performance of PDCCH in LTE and 5G New Radio” (IJACSA)
International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018.
7 Annex
Table 10 Main simulation parameters
Test Environment Rural C Isolated Cell
Carrier Frequency 700 MHz 700 MHz
Simulation BW 10 MHz 10 MHz
Duplexing FDD FDD
BS/UE Antenna Height 35 m / 1.5 m 35 m / 1.5m
ISD 30 km Not applicable
Drop Radius Not applicable 10 km
Antenna Type Sectorized Omni-directional
Number of TRxPs per Site 3 1
Number of Antenna Elements
per TRxP
32 cross-polarized antenna
elements (M,N,P) = (8,4,2)
32 cross-polarized antenna
elements (M,N,P) = (8,4,2)
Number of TxRUs per TRxP 4 per polarization 4 per polarization
BS Mechanical / Electrical Tilt 90o in GCS / 92o in LCS 90o in GCS / 92o in LCS
Number of Antenna Elements
and TxRUs per UE
1 cross-polarized antenna and 1
TxRU per polarization
1 cross-polarized antenna and 1
TxRU per polarization
BS / UE Total Transmit Power 46 dBm / 23 dBm 46 dBm / 23 dBm
BS / UE Antenna Gain 8 dBi / 0 dBi 3 dBi / 0 dBi
BS / UE Noise Figure 5 dB / 7 dB 5 dB / 7 dB
Subcarrier Spacing 15 kHz 15 kHz
Percentage of High Loss and
Low Loss Building Type
100% low loss 100% low loss
Wrapping Around Model Geographical distance based Not applicable
Device Deployment 40% indoor with 3km/h, 40%
outdoor with 3km/h, 20% outdoor
in-car with 30km/h
100% outdoor in-car with
120km/h
UE Density 10 UEs/cell 10 UEs
18/18
Mobility Model Fixed speed of all UEs, randomly
and uniformly distributed direction
Fixed speed of all UEs, randomly
and uniformly distributed
direction
Pathloss Model Pathloss Model RMa_B as
detailed in ITU-R M.2412-0 Table
A1-5, including the difference for
NLOS of LMLC scenario
compared to the channel model
specified in 3GPP TR 38.901
Pathloss Model RMa_B as
detailed in ITU-R M.2412-0 Table
A1-5, including the difference for
NLOS of LMLC scenario
compared to the channel model
specified in 3GPP TR 38.901
Fast Fading RMa with Statistical LoS / NLoS
model as detailed in 3GPP TR
38.901 V14.1.1
RMa with Statistical LoS / NLoS
model as detailed in 3GPP TR
38.901 V14.1.1
Table 11 Additional simulation parameters for full-scale system-level simulations
Transmission Scheme Closed-loop SU-MIMO with rank
adaptation
Closed-loop SU-MIMO with rank
adaptation
Handover Margin 3 dB 3 dB
Receiver Type MMSE-IRC MMSE-IRC
UL Power Control (-65 dBm, 0.6) (-65 dBm, 0.6)
UT Attachment Based on RSRP (Eq. 8.1-1) in TR
36.873) from port 0
Based on RSRP (Eq. 8.1-1) in
TR 36.873) from port 0
Scheduling SU-PF SU-PF
Channel Estimation Non-ideal Non-ideal
Table 12 Electrical tilt configuration of Rural C scenario with ISD = 30 km for tested BS antenna heights
BS Antenna
Height
50 m 75 m 80 m 100 m 150 m
BS Electrical Tilt 2o in LCS 2o in LCS 0o in LCS 2o in LCS 2o in LCS
Table 13 Electrical tilt configuration of Isolated Cell scenario with 10 km drop radius for tested BS antenna
heights
BS Antenna
Height
50 m 75 m 80 m 100 m 150 m
BS Electrical Tilt 0o in LCS 2o in LCS 2o in LCS 2o in LCS 2o in LCS

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5G NR Coverage Analysis for 700 MHz

  • 1. 1/18 3GPP TSG-RAN WG1 #101e R1- 2003940 May 25th – June 5th, 2020 Title: Simulation Assumptions and Baseline Coverage for FR1 Source: Nomor Research GmbH, Facebook Type: Discussion Document for: Agreement Agenda Item: 8.4.1.1 Study Item: FS_NR_CovEnh: Study on NR coverage enhancement 1 Introduction In RAN#84, NR coverage enhancement was identified as one of the RAN work areas for Rel-17. The email discussion on requirements, scenarios and key study areas are well attended by industry and NR coverage enhancements is approved as a study item in RAN#86. The objective of the study item is to study potential coverage enhancement solutions for specific scenarios for both FR1 and FR2, firstly by identifying the baseline coverage performance for both DL and UL [1]. This document presents additional open issues regarding coverage in long-distance scenarios and proposes clarifications. In addition, this document illustrates the baseline coverage performance of extreme long–range rural scenarios for FR1, which is identified as one of the target scenarios in [1], both in DL and UL based on system-level simulations. 2 Requirements regarding long-distance SA1 defined service requirements for extreme long-range coverage in [2] as follows:  The 5G system shall support the extreme long-range coverage (up to 100 km) in low density areas (up to 2 user/km2).  The 5G system shall support a minimum user throughput of 1 Mbps on DL and 100 kbps on UL at the edge of coverage.  The 5G system shall support a minimum cell throughput capacity of 10 Mbps/cell on DL (based on an assumption of 1 GB/month/sub).  The 5G system shall support a maximum of [400] ms E2E latency for voice services at the edge of coverage. While the data rate requirements of 1 Mbps and 100 kbps for DL and UL, respectively, are well captured in the SID, there are many open issues beyond these. 2.1 Coverage During email discussion and drafting the SID, different views on the coverage assumptions have been stated [3]. While a part of the companies wanted to stick to today’s inter-site distance (ISD) = 6 km of the Rural C (referred to as Low Mobility Large Cell), there were many companies suggesting to consider extreme long- range coverage up to 100 km as defined in the SA1 requirements in [2] and the RAN 5G deployment scenario in [4]. During the discussion there was agreement that at least one larger cell size should be considered. An ISD = 30 km was considered as suitable compromise to move forward. Since the SID does not explicitly mention the applicable inter-site distance for the extreme long-distance rural scenario, we suggest that RAN1 confirms this assumption. Proposal 1: The inter-site distance for the extreme long-distance rural scenario is ISD = 30 km. Today’s channel models are not verified for distances greater than 21 km. In [5], the pathloss models in Table 7.4.1-1 for RMa scenario indicate an upper limit of 10 km for LOS and 5 km for NLOS. Moreover, in [6], the pathloss equations in Table A1-5 for both RMa_A and RMa_B channel models include an upper limit of 21 km for both LOS and NLOS. Therefore, pathloss models are missing for greater distances.
  • 2. 2/18 Email discussions and SID on the coverage enhancement state ISDs that require channel models validated for distances of more than 21 km, such as in the case of ISD = 30 km. Since the current channel models are not applicable to such ranges, a new channel model is needed for extreme long-range scenarios. We suggest that RAN1 confirms this assumption. Proposal 2: A channel model should be defined for extreme long-distance rural scenario. 2.2 Latency One way to improve the coverage is the extensive use of HARQ retransmissions or packet aggregation. The use of this technique will be limited by the allowed overall latency that is defined for the respective scenarios. Besides Enhanced Mobile Broadband (eMBB), VoNR service needs to be supported in the rural scenarios and should put the upper limit on the latency requirements. In the latest version of the SA1 requirement specification [2], the latency value of 400 ms E2E latency for 100 km coverage is still put in brackets, indicating that this is still to be agreed. Our suggestion is to stick to the regular packet delay budget for 5QI = 1, which is 100 ms for conversational voice as described in [7]. Proposal 3: The maximum latency for VoNR should be defined as 100 ms one way also in the extreme long-range scenario. 3 Simulation Scenarios The evaluation assumptions for the Rel-17 study item on coverage enhancements are not defined, yet. Two alternatives could be chosen from previous work on rural coverage. There are rural scenarios defined by the ITU-R in [6]. The Rural C (LMLC) scenario has the largest coverage with ISD = 6000 m and could be extended. On the other hand, 3GPP defined in [4] an extreme long-distance coverage scenario with an isolated cell and a range up to 100 km with UE mobility of 160 km/h. In the following, both scenarios and models will be used to generate our simulation results. We have already provided first system-level simulation results in our contribution [8] to RAN#86. In our view, both the Isolated Cell scenario proposed in [4], as well as a multi-cell scenario, such as Low Mobility Large Cell (LMLC) scenario with ISD = 30 km should be supported. Settings and configurations for LMLC scenario are well defined in [6], although configurations for extreme-coverage scenario for the Isolated Cell is left open in [4]. We propose to use the same configurations and assumptions, such as BS and UE antenna configurations, for Isolated Cell scenario with the LMLC scenario. Moreover, UE mobility settings, such as UE velocity and UE device deployment, should also be as in the case of LMLC scenario. Proposal 4: Both Isolated Cell and multi-cell scenario should be supported and therefore be studied for potential coverage enhancement solutions for FR1. Proposal 5: Configuration and settings defined for LMLC in [6] should also apply to the Isolated Cell scenario. Proposal 6: UE mobility settings defined for LMLC in [6], such as UE velocity and UE device deployment, should also apply to the Isolated Cell scenario. Moreover, for VoNR service, we propose to have Semi-Persistent Scheduling (SPS) on DL and Configured Grant (CG) on UL for higher radio efficiency. We suggest that RAN1 confirms this assumption. Proposal 7: VoNR service uses Semi-Persistent Scheduling on DL and Configured Grant on UL for high radio efficiency. 4 Baseline Assumptions and Performance The parameters for performed simulations are summarized in Table 10 in the Annex. Regarding the channel model, we assume that the model defined in [6] for the LMLC scenario with a validity of BS-UE distance of 21 km is also valid for greater distances. Simulations are done by extending the calibrated system-level simulator that has also been used in the IMT- 2020 evaluation process under the umbrella of the 5G Infrastructure Association. To obtain coupling gain samples from system-level simulations, corresponding transmit power is subtracted from the RSRP samples collected during the simulation.
  • 3. 3/18 For the performance evaluation of frequency hopping in Sec. 4.3.3, full-scale system-level simulations are performed. Therefore, rather than collecting RSRP values and processing them in above-mentioned manner, capabilities of the calibrated system-level simulator are fully exploited and throughput is calculated through packet transmission/reception. Additional parameters for full-scale system-level simulations are provided in Table 11 in the Annex. Moreover, for VoNR, we assume that a VoNR packet is transmitted every 20 ms in a single TTI, but not over multiple TTIs. 4.1 Performance of Rural C Scenario with 30 km ISD Figure 1 shows the Cumulative Distribution Function (CDF) of Coupling Gain for the Rural C scenario with 30 km ISD. Figure 1 CDF of Coupling Gain for Rural C scenario with ISD = 30 km [4] specifies that for extreme coverage scenarios, Maximum Coupling Loss (MCL) should be 143 dB for a basic eMBB service of 1 Mbps in DL and 30 kbps in UL. On the other hand, target data rate on SID is 1 Mbps for DL and 100 kbps for UL. It could be stated that MCL condition is not satisfied for Rural C scenario with 30 km ISD both in DL and UL. Observation 1: MCL criterion for extreme coverage is not satisfied for Rural C scenario with 30 km ISD both in DL and UL for eMBB service. Proposal 8: Solutions to overcome the limitation of MCL in DL and UL for Rural C scenario with 30 km ISD should be studied within the study item. 4.1.1 PDSCH and PDCCH Performance By adding the corresponding transmit power to the coupling loss samples, whose CDF is provided in Figure 1, and subtracting the noise floor, SNR samples are obtained. SNR samples are then mapped to spectral efficiency (SE) values using the approach in Annex A.2 Link Level Performance Model of [9] and link level results for SISO AWGN channel with a BLER target 0.1 for PDSCH. While doing so, we have used MCS index table 2 in [10] and up to 8 HARQ transmissions are allowed. The parameter alpha for scaling of spectral efficiency in the model of [9] is found to be 0.88. Different bandwidths (BWs) are applied to SE samples, accounting for respective pilot overheads and guard bands, and different throughput distributions are obtained. For 1 Mbps DL data rate target of eMBB, 5.5 MHz
  • 4. 4/18 is found as the required BW, since 5%-ile of the throughput CDF corresponds to 1 Mbps. Thus, we can state that target data rate in DL could be achieved with a reasonable BW using existing MCSs. Figure 2 illustrates the PDSCH throughput CDF when system BW is 5.5 MHz. Figure 2 CDF of UE throughput for Rural C scenario with system BW = 5.5 MHz and ISD = 30 km for eMBB Required BW of 5.5 MHz translates to a required SE of 0.262 bit/s/Hz and a required SNR of -6.4 dB. Looking at PDCCH link level curves, e.g. in [11], we observe that aggregation level 4 corresponds to a BLER less than 0.001 at the required SNR of PDSCH. Thus, we can conclude that PDCCH is sufficiently robust in this case. Observation 2: DL throughput target of 1 Mbps of eMBB service is satisfied for Rural C scenario with a feasible BW of 5.5 MHz. PDCCH is robust at the required SNR of PDSCH. In addition, same procedure is performed for VoNR service. Once again, different BWs are applied to SE samples, accounting for respective pilot overheads and guard bands, and different throughput distributions are obtained. For 12.2 kbps data rate target of VoNR, 1.3 MHz is found as the required BW in DL, since 5%-ile of the throughput CDF corresponds to the target throughput. Required BW of 1.3 MHz translates to a required SE of 0.19 bit/s/Hz and a required SNR of -8 dB. Looking at PDCCH link level curves, we observe that aggregation level 8 corresponds to a BLER way below 0.0001 at the required SNR of PDSCH. Thus, we can conclude that PDCCH is sufficiently robust in this case. Observation 3: DL throughput target of 12.2 kbps of VoNR service is satisfied for Rural C scenario with a feasible BW of 1.3 MHz. PDCCH is robust at the required SNR of PDSCH. 4.1.2 PUSCH Performance By adding the corresponding transmit power per number of PRBs allocated (we have assumed that specific number of PRBs are allocated to the UE) to the coupling loss samples, and subtracting the noise floor, SNR samples are obtained. In the case of UL of eMBB service, we assumed that the UE is scheduled in every TTI and uses maximum power, as coverage limited UEs typically do. Figure 3 illustrates the obtained CDFs of SNR for different number of PRB allocations.
  • 5. 5/18 Figure 3 CDF of SNR for Rural C scenario with ISD = 30 km for different PRB allocations As the number of allocated PRBs increases, SNR decreases since the total power is distributed across more PRBs. SNR values are mapped to SE values using the same method described in Sec. 4.1.1. While doing so, MCS index table 1 in [10] is assumed to be used and 8 HARQ transmissions are allowed. Alpha parameter is found to be 0.82. Obtained SE values are converted to throughput samples by applying respective BW of each PRB allocation. Table 1 provides 5%-ile throughput of eMBB, obtained from the CDF of throughput samples for each PRB allocation. In addition, coverage percentage for the target UL data rate of 100 kbps is given. Table 1 UL performance of eMBB for different PRB allocations for Rural C scenario with ISD = 30 km Number of Allocated PRBs 1 3 5 7 10 15 20 30 5%-ile Throughput [kbps] 18 18 0 0 0 0 0 0 Coverage Percentage for 100 kbps 79% 80% 81% 81% 81% 81% 80% 75% It is observed that none of the allocation configurations can meet the target UL data rate with at least 95% coverage. For PRB allocations other than 1 PRB and 3 PRBs, 5%-ile of respective SNR curves corresponds to a lower value than minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%- ile in their respective throughput CDFs. Coverage percentage for the target data rate is maximum for 5, 7, 10 and 15 PRB allocations with 81%, meaning that 81% of the UEs can be served with the target data rate of 100 kbps or more. Observation 4: UL throughput target of 100 kbps of eMBB service cannot be met for Rural C scenario. In case of VoNR service, for UL, we assumed that the UE transmits a VoNR packet every 20 ms in a single TTI, and uses maximum power. Once again, obtained SE values are converted to throughput samples by applying respective BW of each PRB allocation. Table 2 provides 5%-ile throughput, obtained from the CDF
  • 6. 6/18 of throughput samples for each PRB allocation. In addition, coverage percentage for the target data rate of 12.2 kbps is given. Table 2 UL performance of VoNR for different PRB allocations for Rural C scenario with ISD = 30 km Number of Allocated PRBs 1 3 5 7 10 5%-ile Throughput [kbps] 0.9 0.9 0 0 0 Coverage Percentage for 12.2 kbps 68% 68% 69% 70% 70% It is observed that none of the allocation configurations can meet the target data rate with at least 95% coverage. For PRB allocations other than 1 PRB and 3 PRBs, 5%-ile of respective SNR curves corresponds to a lower value than minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%- ile in their respective throughput CDFs. Coverage percentage for the target data rate is maximum for 7 and 10 PRB allocations with 70%, meaning that 70% of the UEs can be served with the target data rate of 12.2 kbps or more. Observation 5: UL throughput target of 12.2 kbps of VoNR service cannot be met for Rural C scenario when packet aggregation and segmentation are not applied. Proposal 9: Solutions to overcome the problem of coverage in terms of UL UE throughput for Rural C scenario with 30 km ISD should be studied within the study item. 4.2 Performance of Isolated Cell Scenario with 10 km Drop Radius Figure 4 shows the CDF of Coupling Gain for the Isolated Cell scenario with 10 km drop radius. Figure 4 CDF of Coupling Gain for Isolated Cell scenario with 10 km drop radius MCL criterion of 143 dB for 1 Mbps DL and 30 kbps UL data rate is not satisfied by the Isolated Cell scenario with 10 km drop radius. Observation 6: MCL criterion for extreme coverage is not satisfied for Isolated Cell scenario both in DL and UL for eMBB service.
  • 7. 7/18 Proposal 10: Solutions to overcome the limitation of MCL both in DL and UL for Isolated Cell scenario with 10 km drop radius should be studied within the study item. 4.2.1 PDSCH and PDCCH Performance Same procedures and assumptions are followed with Rural C to convert coupling loss samples to SE values. Different BWs are applied to SE samples, accounting for respective pilot overheads and guard bands, so that different throughput distributions are obtained. For 1 Mbps DL data rate target of eMBB, 7 MHz is found to be the required BW, since 5%-ile of the throughput CDF corresponds to 1 Mbps. Thus, we can state that target data rate in DL could be achieved with a reasonable BW using existing MCSs. Figure 5 illustrates the DL throughput CDF when system BW is 7 MHz. Figure 5 CDF of UE throughput for Isolated Cell scenario with system BW = 7 MHz and 10 km drop radius for eMBB 7 MHz required BW translates to a required SE of 0.222 bit/s/Hz and a required SNR of -7.2 dB. Looking at PDCCH link level curves e.g. in [11], we observe that aggregation level 4 corresponds to a BLER close to 0.001 or way below 0.0001 for aggregation level 8 at the required SNR of PDSCH. Thus, we can conclude that PDCCH is sufficiently robust in this case. Observation 7: DL throughput target of 1 Mbps of eMBB service is satisfied for Isolated Cell scenario with a feasible BW of 7 MHz. PDCCH is sufficiently robust at the required SNR of PDSCH. Once more, the same procedure is performed for VoNR service. Different BWs are applied to SE samples, accounting for respective pilot overheads and guard bands, and different throughput distributions are obtained. For 12.2 kbps data rate target of VoNR, 1.6 MHz is found as the required BW in DL, since 5%-ile of the throughput CDF corresponds to the target throughput. Required BW of 1.6 MHz translates to a required SE of 0.16 bit/s/Hz and a required SNR of -9 dB. Looking at PDCCH link level curves, we observe that aggregation level 8 corresponds to a BLER less than 0.001 at the required SNR of PDSCH. Thus, we can conclude that PDCCH is sufficiently robust in this case. Observation 8: DL throughput target of 12.2 kbps of VoNR service is satisfied for Isolated Cell scenario with a feasible BW of 1.6 MHz. PDCCH is robust at the required SNR of PDSCH.
  • 8. 8/18 4.2.2 PUSCH Performance Same procedures and assumptions are followed with Rural C to convert coupling loss samples to SE values for PUSCH. Figure 6 illustrates the CDFs of SNR for different number of PRB allocations. Figure 6 CDF of SNR for Isolated Cell scenario with 10 km drop radius for different PRB allocations Obtained SE values are converted to throughput samples by applying respective BW of each PRB allocation. Table 3 provides 5%-ile throughput of eMBB, obtained from the CDF of throughput samples for each PRB allocation. In addition, coverage percentage for the target UL data rate of 100 kbps is given. Table 3 UL performance of eMBB for different PRB allocations for Isolated Cell scenario with 10 km drop radius Number of Allocated PRBs 1 3 5 10 15 20 30 5%-ile Throughput [kbps] 14 0 0 0 0 0 0 Coverage Percentage for 100 kbps 78% 80% 80% 80% 80% 79% 74% It is observed that none of the allocations can meet the target UL data rate with 95% coverage. For PRB allocations other than 1 PRB, the 5%-ile of the respective SNR curve corresponds to a lower value than the minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%-ile in their respective throughput CDFs. Coverage percentage for the target data rate is maximum for 3, 5, 10 and 15 PRB allocations with 80%, meaning that 80% of the UEs can be served with the target data rate of 100 kbps or more. Observation 9: UL throughput target of 100 kbps of eMBB cannot be met for Isolated Cell scenario.
  • 9. 9/18 Once again for VoNR service, obtained SE values are converted to throughput samples by applying respective BW of each PRB allocation. Table 4 provides 5%-ile throughput, obtained from the CDF of throughput samples for each PRB allocation. In addition, coverage percentage for the target data rate of 12.2 kbps is given. Table 4 UL performance of VoNR for different PRB allocations for Isolated Cell scenario with 10 km drop radius Number of Allocated PRBs 1 3 5 7 10 5%-ile Throughput [kbps] 0.75 0 0 0 0 Coverage Percentage for 12.2 kbps 59% 67% 68% 69% 69% It is observed that none of the allocation configurations can meet the target data rate with at least 95% coverage. For PRB allocations other than 1 PRB, 5%-ile of respective SNR curves corresponds to a lower value than minimum required SNR, even with 8 HARQ transmissions. Thus, we observe 0 kbps 5%-ile in their respective throughput CDFs. Coverage percentage for the target data rate is maximum for 7 and 10 PRB allocations with 69%, meaning that 69% of the UEs can be served with the target data rate of 12.2 kbps or more. Observation 10: UL throughput target of 12.2 kbps of VoNR service cannot be met for Isolated Cell scenario when packet aggregation and segmentation are not applied. Proposal 11: Solutions to overcome the problem of coverage in terms of UL UE throughput for Isolated Cell scenario with 10 km drop radius should be studied within the study item. 4.3 Baseline Simulation Assumptions Here, we provide the simulation results for Rel-15 time-domain packet aggregation, increased BS antenna height and Rel-15 frequency hopping, in order to assess the coverage performance to consider them as baseline simulation assumptions. In addition, we provide a discussion on increased number of antenna elements at BSs as a baseline simulation assumption. 4.3.1 PUSCH Aggregation For consideration as a baseline simulation assumption, Rel-15 aggregation (i.e. TTI bundling) is tested for eMBB and VoNR services. While doing so, we have assumed that an aggregation factor of 4 is used in the system. Corresponding modification introduced by the aggregation to the analysis described in previous sections is to change the minimum SNR to be mapped to a non-zero SE, when applying the approach in Annex A.2 Link Level Performance Model of [9]Fehler! Verweisquelle konnte nicht gefunden werden.[9]. Results of eMBB service for both Rural C and Isolated Cell scenarios are illustrated in Table 5. Table 5 eMBB UL performance of aggregation for different PRB allocations for Rural C scenario with ISD = 30 km and Isolated Cell scenario with 10 km drop radius Number of Allocated PRBs 1 3 5 10 15 20 30 Rural C with Aggregation Factor 4 5%-ile Throughput [kbps] 18 18 18 18 0 0 0 Coverage Percentage for 100 kbps 79% 81% 81% 81% 81% 81% 81%
  • 10. 10/18 Isolated Cell with Aggregation Factor 4 5%-ile Throughput [kbps] 15 15 15 15 0 0 0 Coverage Percentage for 100 kbps 78% 80% 80% 80% 80% 80% 80% It is observed that none of the allocations can provide the target UL data rate of 100 kbps to 95% of the UEs even with aggregation in neither of the scenarios. For Rural C scenario, no increase is observed in 5%-ile throughput when 1 PRB and 3 PRBs are allocated, compared to the performance of the same scenario without aggregation illustrated in Table 1. In addition, for some number of PRB allocations, such as 5 and 10, 5%-ile throughput increased from 0 to 18 kbps. The gain stems from the fact that the minimum SNR to be mapped to a non-zero SE decreases due to aggregation and large number of PRB allocations suffer from low SNR. Coverage percentage for 100 kbps also increases in some of the allocations with aggregation, although it is still not enough to meet the performance target. For Isolated Cell scenario, only a 1 kbps increase is observed in 5%-ile throughput when 1 PRB is allocated, compared to the performance of the same scenario without aggregation shown in Table 3. Again, due to the same reasoning mentioned for Rural C, some of the other allocations start to have a non-zero 5%-ile throughput, although the values still do not satisfy the performance criterion. In summary, we observe that aggregation is not useful to achieve 95% coverage with the UL data rate target of 100 kbps, but it can increase coverage for even lower UL data rate targets. Observation 11: UL throughput target of 100 kbps of eMBB cannot be met for Rural C and Isolated Cell scenarios even when aggregation is used to enhance coverage. Observation 12: Compared to the performance of Rural C and Isolated Cell scenarios without aggregation, negligible amount of performance gain in terms of coverage is obtained when aggregation is used in UL for eMBB service. Proposal 12: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) is not a baseline simulation assumption for eMBB service of rural scenarios considering the defined throughput performance targets. For VoNR, we have again assumed an aggregation factor of 4 is used in the system. Results of VoNR service for both Rural C and Isolated Cell scenarios are illustrated in Table 6. Table 6 VoNR UL performance of aggregation for different PRB allocations for Rural C scenario with ISD = 30 km and Isolated Cell scenario with 10 km drop radius Number of Allocated PRBs 1 3 5 7 10 Rural C with Aggregation Factor 4 5%-ile Throughput [kbps] 3.6 3.6 3.6 3.6 0 Coverage Percentage for 12.2 kbps 85% 86% 86% 86% 86% Isolated Cell with Aggregation Factor 4 5%-ile Throughput [kbps] 3 3 3 0 0 Coverage Percentage for 12.2 kbps 84% 85% 85% 85% 85%
  • 11. 11/18 It is observed that none of the allocations can provide the target UL data rate of 12.2 kbps for 95% of the UEs even with aggregation in neither of the scenarios. For Rural C scenario, 5%-ile throughput increased by a factor of 4 for allocations of 1 PRB and 3 PRBs, compared to the performance of the same scenario without aggregation illustrated in Table 2. In addition, for other PRB allocations, throughput increased from 0 to 3.6 kbps. The gain stems from the fact that the minimum SNR to be mapped to a non-zero SE decreases due to aggregation and large number of PRB allocations suffer from low SNR. Coverage percentage for 12.2 kbps also increased in all of the allocations with aggregation, although it is still not enough to meet the performance target. For Isolated Cell scenario, 5%-ile throughput increased by a factor of 4 when 1 PRB is allocated, compared to the performance of the same scenario without aggregation shown in Table 4. Again, due to the same reasoning mentioned for Rural C, other allocations start to have a non-zero 5%-ile throughput, although the values still do not satisfy the performance criterion. While causing additional resource consumption, aggregation factor of 16 would satisfy 12.2 kbps UL throughput target for Rural C scenario, although it would still not be sufficient for Isolated Cell scenario. In addition, in case of aggregation factor 16, we should note that the number of HARQ transmissions would be limited to 1. Observation 13: UL throughput target of 12.2 kbps of VoNR cannot be met for Rural C and Isolated Cell scenarios when aggregation factor 4 is used to enhance coverage without packet segmentation. Observation 14: Compared to the performance of Rural C and Isolated Cell scenarios without aggregation, significant amount of performance gain in terms of coverage is obtained when aggregation is used in UL for VoNR service. Proposal 13: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) without segmentation is not a baseline assumption for VoNR service of rural scenarios considering the defined throughput performance targets. 4.3.2 Increased BS Antenna Height For consideration as a baseline simulation assumption, larger BS antenna heights are tested for eMBB service. Channel models in 16[5] and [6] that are defined for rural scenarios have an applicability range for the BS antenna height from 10 m to 150 m. As provided in Table 10 in Annex and as given in 16[5] and [6], Rural C and Isolated Cell scenarios use BSs with 35 m height. We have tested larger BS antenna heights to see their impact on coverage in UL. When BS antenna height is varied, different electrical tilts are applied to improve performance. Table 12 and Table 13 in Annex illustrate the configured electrical tilts for each of the test cases. Other simulation parameters are set to the values in Table 10. UL performance of the Rural C scenario with different BS antenna heights are shown in Table 7Fehler! Verweisquelle konnte nicht gefunden werden.Fehler! Verweisquelle konnte nicht gefunden werden.Fehler! Verweisquelle konnte nicht gefunden werden.. Table 7 UL performance for different PRB allocations and different BS antenna heights for Rural C scenario with ISD = 30 km Number of Allocated PRBs 1 3 5 10 15 20 30 Rural C with BS Antenna Height = 50 m 5%-ile Throughput [kbps] 41 44 45 0 0 0 0 Coverage Percentage for 100 kbps 88% 91% 91% 91% %91 90% 86% Rural C with BS Antenna 5%-ile Throughput [kbps] 108 130 136 142 143 143 0
  • 12. 12/18 Height = 75 m Coverage Percentage for 100 kbps 95% 96% 96% 96% 96% 96% 94% Rural C with BS Antenna Height = 80 m 5%-ile Throughput [kbps] 149 190 203 214 219 220 224 Coverage Percentage for 100 kbps 97% 97% 98% 98% 98% 97% 96% Rural C with BS Antenna Height = 100 m 5%-ile Throughput [kbps] 193 267 290 309 321 324 330 Coverage Percentage for 100 kbps 98% 98% 98% 98% 98% 98% 97% Rural C with BS Antenna Height = 150 m 5%-ile Throughput [kbps] 355 593 710 825 894 913 967 Coverage Percentage for 100 kbps 99% 99% 99% 99% 99% 99% 99% By comparing the performance of the same scenario with an antenna height of 35 m in Table 1, with the performance results shown here in Table 7Fehler! Verweisquelle konnte nicht gefunden werden., it is observed that the coverage performance is enhanced with increasing BS antenna height. When BS antenna height is 50 m, still none of the allocations can provide the target UL data rate to 95% of the UEs, although the coverage performance is better compared to the system performance with 35 m BS antenna height. When BS antenna height is 75 m, the allocations other than 30 PRBs can provide UL data rate target to at least 95% of the UEs. Thus, we state that with 75 m BS antenna height, coverage criterion of 100 kbps for PUSCH is satisfied for Rural C scenario with ISD = 30 km. BS antenna heights of 80 m, 100 m and 150 m perform even better in terms of coverage. When antenna height is 150 m, all the allocations can provide 99% of the UEs the target throughput of 100 kbps in UL. Observation 15: System performance of Rural C scenario with 30 km ISD satisfies the UL data rate target of 100 kbps when BS antenna height is 75 m or higher. UL performance of the Isolated Cell scenario with different BS antenna heights are shown in Table 8Fehler! Verweisquelle konnte nicht gefunden werden.Fehler! Verweisquelle konnte nicht gefunden werden.. Table 8 UL performance for different PRB allocations and different BS antenna heights for Isolated Cell scenario with 10 km drop radius Number of Allocated PRBs 1 3 5 10 15 20 30 Isolated Cell with BS Antenna Height = 50 m 5%-ile Throughput [kbps] 41 44 45 0 0 0 0 Coverage Percentage for 100 kbps 89% 90% 90% 91% 91% 90% 87% Isolated Cell with BS 5%-ile Throughput [kbps] 106 128 133 139 141 143 0
  • 13. 13/18 Antenna Height = 75 m Coverage Percentage for 100 kbps 95% 96% 96% 96% 96% 95% 94% Isolated Cell with BS Antenna Height = 80 m 5%-ile Throughput [kbps] 135 171 181 190 194 194 199 Coverage Percentage for 100 kbps 96% 97% 97% 97% 97% 96% 95% Isolated Cell with BS Antenna Height = 100 m 5%-ile Throughput [kbps] 188 252 275 297 301 317 310 Coverage Percentage for 100 kbps 97% 98% 98% 98% 98% 98% 97% Isolated Cell with BS Antenna Height = 150 m 5%-ile Throughput [kbps] 307 490 561 644 683 693 724 Coverage Percentage for 100 kbps 99% 99% 99% 99% 99% 99% 98% From the performance of the same scenario with 35 m BS antenna height, illustrated in Table 3,Table 1 and here from Table 8, it is observed that coverage performance is enhanced with increasing BS antenna height. When BS antenna height is 50 m, none of the allocations can provide the target UL data rate to 95% of the UEs, although the coverage performance is better compared to the system performance with 35 m BS antenna height. When BS antenna height is 75 m, allocations of 1-20 PRBs can provide UL data rate target to at least 95% of the UEs. We can state that with 75 m BS antenna height, coverage criterion for PUSCH is satisfied for Isolated Cell scenario with drop radius of 10 km. BS antenna heights of 80 m, 100 m and 150 m perform even better in terms of coverage. Observation 16: System performance of Isolated Cell scenario with 10 km drop radius satisfies the UL data rate target of 100 kbps when BS antenna height is 75 m or higher. It should be discussed in RAN1 if a higher antenna height should be captured as the baseline for the simulation assumptions. Proposal 14: RAN1 should discuss whether a BS antenna height of 75 m should be defined as the baseline assumption or if this height is considered too high for real-world scenarios. 4.3.3 Frequency Hopping For the performance evaluation of frequency hopping for eMBB service, full-scale system-level simulations are performed. As in case of coupling loss analysis held throughout this document, MCS index table 1 in [10] is used and 8 HARQ transmissions are allowed also in full-scale system-level simulations. According to [10], there are two types of frequency hopping modes that can be configured for PUSCH:  Intra-slot frequency hopping, applicable to single slot and multi-slot PUSCH transmission.  Inter-slot frequency hopping, applicable to multi-slot PUSCH transmission. In addition, frequency hopping offset can freely be chosen and frequency hopping can be enabled only when resource allocation is of type 1, i.e. contiguous resource allocation. Therefore, we have tested a configuration, where the UEs that are in worse channel conditions use DFTS-OFDM (thus contiguous PRB allocations are made to those UEs) and the UEs that are in better channel conditions use conventional OFDM. Switching between DFTS-OFDM and OFDM for a UE is made based on the serving cell RSRP. If the serving cell RSRP goes below -120 dBm, the UE switches to DFTS-OFDM, otherwise it uses conventional OFDM. Moreover, in
  • 14. 14/18 scenarios where frequency hopping is enabled, UEs that use DFTS-OFDM is directly assumed to be using frequency hopping and UEs that use conventional OFDM do not perform frequency hopping. Inter-slot frequency hopping with a hopping offset of 20 PRBs is tested (system bandwidth is 10 MHz with 52 PRBs at 700 MHz). The results for Rural C and Isolated Cell scenarios where only DFTS-OFDM is enabled and where DFTS-OFDM is enabled along with frequency hopping are given in Table 9Fehler! Verweisquelle konnte nicht gefunden werden.. Table 9 UL performance for DFTS-OFDM and frequency hopping for Rural C scenario with ISD = 30 km and Isolated Cell scenario with 10 km drop radius 5%-ile Throughput [kbps] Percentage of DFTS-OFDM Usage Rural C with DFTS- OFDM 2.9 49% Rural C with DFTS- OFDM and Frequency Hopping 27.5 46% Isolated Cell with DFTS- OFDM 30.9 54% Isolated Cell with DFTS- OFDM and Frequency Hopping 72.3 52% From Table 9Fehler! Verweisquelle konnte nicht gefunden werden., it is observed that the 5%-ile UE throughput significantly increased when frequency hopping is enabled for both Rural C and Isolated Cell scenarios. Frequency hopping provides frequency diversity and mitigates fading effects. Although the criterion of 100 kbps UL throughput is still not satisfied for both of the scenarios, the results indicate that frequency hopping significantly enhances cell-edge performance. Observation 17: Frequency hopping significantly enhances the cell-edge performance. Observation 18: System performance of Rural C scenario with 30 km ISD and Isolated Cell scenario with 10 km drop radius cannot satisfy the UL date rate target of 100 kbps. Proposal 15: RAN1 should agree on Rel-15 frequency hopping as the baseline assumption for simulations on coverage enhancements in FR1. Potential enhancements should be compared to NR Rel-15 with frequency hopping. 4.3.4 Increased Number of Antenna Elements at BSs From the baseline coverage performance results provided in previous sections of this document, both for Rural C and Isolated Cell scenarios, we claim that the link-budget should be improved to enhance coverage in UL. To improve link-budget, beamforming gain at BS side can be increased by increasing the number of antenna elements, e.g. having 8 columns instead of 4 columns of antenna elements in Rural C and Isolated Cell scenarios. If we consider a λ/2 separation between antenna elements, where λ is the wavelength of the signal at corresponding carrier frequency, then with 4 columns of antenna elements at 700 MHz carrier frequency, the antenna array width is ~0.86 m. If we double the number of antenna elements and have 8 columns instead of 4 columns on the antenna array, then antenna array width would double, reaching to a value ~1.7 m. Considering the extreme long-range requires high tower deployments (see Sec. 4.3.2) such large antenna array sizes might be feasible. We propose to have the discussion of the issue in RAN1 group. Proposal 16: RAN1 should discuss if an antenna array with 8 columns and 8 rows of cross-polarized antenna elements should be defined as the baseline assumption or a potential solution for the extreme coverage scenario at 700 MHz or if such antenna array size is considered too large for real-world scenarios.
  • 15. 15/18 Finally, the performance results of Sec. 4 should serve as baseline performance, such that the performance of the enhancement solutions should be evaluated against this baseline performance. It is suggested to capture the results of Sec. 4 in TR 38.830 “Study on NR coverage enhancements”. Proposal 17: The results of Sec. 4 should be captured in TR 38.830 “Study on NR coverage enhancements”. 5 Conclusion and Proposals In this document, we discussed open issues regarding coverage in long-distance scenarios and proposed clarifications. The following proposals are made: Proposal 1: The inter-site distance for the extreme long-distance rural scenario is ISD = 30 km. Proposal 2: A channel model should be defined for extreme long-distance rural scenario. Proposal 3: The maximum latency for VoNR should be defined as 100 ms one way also in the extreme long-range scenario. Proposal 4: Both Isolated Cell and multi-cell scenario should be supported and therefore be studied for potential coverage enhancement solutions for FR1. Proposal 5: Configuration and settings defined for LMLC in [6] should also apply to the Isolated Cell scenario. Proposal 6: UE mobility settings defined for LMLC in [6], such as UE velocity and UE device deployment, should also apply to the Isolated Cell scenario. Proposal 7: VoNR service uses Semi-Persistent Scheduling on DL and Configured Grant on UL for high radio efficiency. In addition, we have illustrated the baseline coverage performance of extreme long–range rural scenarios, including Rural C scenario with 30 km ISD and Isolated Cell scenario with 10 km drop radius, for FR1 in both DL and UL based on system-level simulations. The following observations and corresponding proposals are made: Observation 1: MCL criterion for extreme coverage is not satisfied for Rural C scenario with 30 km ISD both in DL and UL for eMBB service. Proposal 8: Solutions to overcome the limitation of MCL in DL and UL for Rural C scenario with 30 km ISD should be studied within the study item. Observation 2: DL throughput target of 1 Mbps of eMBB service is satisfied for Rural C scenario with a feasible BW of 5.5 MHz. PDCCH is robust at the required SNR of PDSCH. Observation 3: DL throughput target of 12.2 kbps of VoNR service is satisfied for Rural C scenario with a feasible BW of 1.3 MHz. PDCCH is robust at the required SNR of PDSCH. Observation 4: UL throughput target of 100 kbps of eMBB service cannot be met for Rural C scenario. Observation 5: UL throughput target of 12.2 kbps of VoNR service cannot be met for Rural C scenario when packet aggregation and segmentation are not applied. Proposal 9: Solutions to overcome the problem of coverage in terms of UL UE throughput for Rural C scenario with 30 km ISD should be studied within the study item. Observation 6: MCL criterion for extreme coverage is not satisfied for Isolated Cell scenario both in DL and UL for eMBB service. Proposal 10: Solutions to overcome the limitation of MCL both in DL and UL for Isolated Cell scenario with 10 km drop radius should be studied within the study item. Observation 7: DL throughput target of 1 Mbps of eMBB service is satisfied for Isolated Cell scenario with a feasible BW of 7 MHz. PDCCH is sufficiently robust at the required SNR of PDSCH. Observation 8: DL throughput target of 12.2 kbps of VoNR service is satisfied for Isolated Cell scenario with a feasible BW of 1.6 MHz. PDCCH is robust at the required SNR of PDSCH. Observation 9: UL throughput target of 100 kbps of eMBB cannot be met for Isolated Cell scenario.
  • 16. 16/18 Observation 10: UL throughput target of 12.2 kbps of VoNR service cannot be met for Isolated Cell scenario when packet aggregation and segmentation are not applied. Proposal 11: Solutions to overcome the problem of coverage in terms of UL UE throughput for Isolated Cell scenario with 10 km drop radius should be studied within the study item. Observation 11: UL throughput target of 100 kbps of eMBB cannot be met for Rural C and Isolated Cell scenarios even when aggregation is used to enhance coverage. Observation 12: Compared to the performance of Rural C and Isolated Cell scenarios without aggregation, negligible amount of performance gain in terms of coverage is obtained when aggregation is used in UL for eMBB service. Proposal 12: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) is not a baseline simulation assumption for eMBB service of rural scenarios considering the defined throughput performance targets. Observation 13: UL throughput target of 12.2 kbps of VoNR cannot be met for Rural C and Isolated Cell scenarios when aggregation factor 4 is used to enhance coverage without packet segmentation. Observation 14: Compared to the performance of Rural C and Isolated Cell scenarios without aggregation, significant amount of performance gain in terms of coverage is obtained when aggregation is used in UL for VoNR service. Proposal 13: RAN1 should agree that packet aggregation (i.e. aggregation factor > 0) without segmentation is not a baseline assumption for VoNR service of rural scenarios considering the defined throughput performance targets. Observation 15: System performance of Rural C scenario with 30 km ISD satisfies the UL data rate target of 100 kbps when BS antenna height is 75 m or higher. Observation 16: System performance of Isolated Cell scenario with 10 km drop radius satisfies the UL data rate target of 100 kbps when BS antenna height is 75 m or higher. Proposal 14: RAN1 should discuss whether a BS antenna height of 75 m should be defined as the baseline assumption or if this height is considered too high for real-world scenarios. Observation 17: Frequency hopping significantly enhances the cell-edge performance. Observation 18: System performance of Rural C scenario with 30 km ISD and Isolated Cell scenario with 10 km drop radius cannot satisfy the UL date rate target of 100 kbps. Proposal 15: RAN1 should agree on Rel-15 frequency hopping as the baseline assumption for simulations on coverage enhancements in FR1. Potential enhancements should be compared to NR Rel-15 with frequency hopping. Proposal 16: RAN1 should discuss if an antenna array with 8 columns and 8 rows of cross-polarized antenna elements should be defined as the baseline assumption or a potential solution for the extreme coverage scenario at 700 MHz or if such antenna array size is considered too large for real-world scenarios. Proposal 17: The results of Sec. 4 should be captured in TR 38.830 “Study on NR coverage enhancements”. 6 References [1] 3GPP TDoc RP-193290 “New SID on NR coverage enhancement”, December 2019 [2] 3GPP TS 22.261 V17.1.0 (2019-12) “Service requirements for the 5G system; Stage 1 (Release 17)” https://www.3gpp.org/DynaReport/22261.htm [3] 3GPP TDoc RP-191886 “Summary of email discussion on NR coverage enhancement”, September 2019 [4] 3GPP TS 38.913 V15.0.0 (2018-07) “Study on scenarios and requirements for next generation access technologies (Release 15)” https://www.3gpp.org/DynaReport/38913.htm [5] 3GPP TS 38.901 V15.1.0 (2019-09) “Study on channel model for frequencies from 0.5 to 100 GHz (Release 15)”
  • 17. 17/18 https://www.3gpp.org/DynaReport/38901.htm [6] Report ITU-R M.2412-0 (2017-10) “Guidelines for evaluation of radio interface technologies for IMT- 2020” https://www.itu.int/dms_pub/itu-r/opb/rep/R-REP-M.2412-2017-PDF-E.pdf [7] 3GPP TS 23.501 V16.3.0 (2019-12) “System architecture for the 5G system (5GS); Stage 2 (Release 16)” https://www.3gpp.org/DynaReport/23501.htm [8] 3GPP TDoc RP-192901 “Motivation paper and first results on Rel.17 Coverage Enhancements”, December 2019 [9] 3GPP TR 36.942 V15.0.0 (2018-06) “Radio Frequency (RF) system scenarios (Release 15)” https://www.3gpp.org/DynaReport/36942.htm [10] 3GPP TS 38.214 V15.8.0 (2019-12) “Physical layer procedures for data (Release 15)” https://www.3gpp.org/DynaReport/38214.htm [11] Hongzhi Chen, De Mi, Manuel Fuentesx, Eduardo Garrox, Jose Luis Carcely, Belkacem Moulhochney, Pei Xiao, Rahim Tafazolli, “On the Performance of PDCCH in LTE and 5G New Radio” (IJACSA) International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018. 7 Annex Table 10 Main simulation parameters Test Environment Rural C Isolated Cell Carrier Frequency 700 MHz 700 MHz Simulation BW 10 MHz 10 MHz Duplexing FDD FDD BS/UE Antenna Height 35 m / 1.5 m 35 m / 1.5m ISD 30 km Not applicable Drop Radius Not applicable 10 km Antenna Type Sectorized Omni-directional Number of TRxPs per Site 3 1 Number of Antenna Elements per TRxP 32 cross-polarized antenna elements (M,N,P) = (8,4,2) 32 cross-polarized antenna elements (M,N,P) = (8,4,2) Number of TxRUs per TRxP 4 per polarization 4 per polarization BS Mechanical / Electrical Tilt 90o in GCS / 92o in LCS 90o in GCS / 92o in LCS Number of Antenna Elements and TxRUs per UE 1 cross-polarized antenna and 1 TxRU per polarization 1 cross-polarized antenna and 1 TxRU per polarization BS / UE Total Transmit Power 46 dBm / 23 dBm 46 dBm / 23 dBm BS / UE Antenna Gain 8 dBi / 0 dBi 3 dBi / 0 dBi BS / UE Noise Figure 5 dB / 7 dB 5 dB / 7 dB Subcarrier Spacing 15 kHz 15 kHz Percentage of High Loss and Low Loss Building Type 100% low loss 100% low loss Wrapping Around Model Geographical distance based Not applicable Device Deployment 40% indoor with 3km/h, 40% outdoor with 3km/h, 20% outdoor in-car with 30km/h 100% outdoor in-car with 120km/h UE Density 10 UEs/cell 10 UEs
  • 18. 18/18 Mobility Model Fixed speed of all UEs, randomly and uniformly distributed direction Fixed speed of all UEs, randomly and uniformly distributed direction Pathloss Model Pathloss Model RMa_B as detailed in ITU-R M.2412-0 Table A1-5, including the difference for NLOS of LMLC scenario compared to the channel model specified in 3GPP TR 38.901 Pathloss Model RMa_B as detailed in ITU-R M.2412-0 Table A1-5, including the difference for NLOS of LMLC scenario compared to the channel model specified in 3GPP TR 38.901 Fast Fading RMa with Statistical LoS / NLoS model as detailed in 3GPP TR 38.901 V14.1.1 RMa with Statistical LoS / NLoS model as detailed in 3GPP TR 38.901 V14.1.1 Table 11 Additional simulation parameters for full-scale system-level simulations Transmission Scheme Closed-loop SU-MIMO with rank adaptation Closed-loop SU-MIMO with rank adaptation Handover Margin 3 dB 3 dB Receiver Type MMSE-IRC MMSE-IRC UL Power Control (-65 dBm, 0.6) (-65 dBm, 0.6) UT Attachment Based on RSRP (Eq. 8.1-1) in TR 36.873) from port 0 Based on RSRP (Eq. 8.1-1) in TR 36.873) from port 0 Scheduling SU-PF SU-PF Channel Estimation Non-ideal Non-ideal Table 12 Electrical tilt configuration of Rural C scenario with ISD = 30 km for tested BS antenna heights BS Antenna Height 50 m 75 m 80 m 100 m 150 m BS Electrical Tilt 2o in LCS 2o in LCS 0o in LCS 2o in LCS 2o in LCS Table 13 Electrical tilt configuration of Isolated Cell scenario with 10 km drop radius for tested BS antenna heights BS Antenna Height 50 m 75 m 80 m 100 m 150 m BS Electrical Tilt 0o in LCS 2o in LCS 2o in LCS 2o in LCS 2o in LCS