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KTH ROYAL INSTITUTE
OF TECHNOLOGY
Grant-Free Radio Access for IoT
Communications
Amin Azari
RS Lab, ICT School, KTH
 Part I: Introduction
 Part II) Coexistence analysis
 Interference analysis
 Coverage analysis
 Deployment and operation strategies
 Analytical coverage, reliability, cost modeling
 Optimized operation points
 Part IV) Protocol design
 Elements of the protocol
 Performance evaluation and results
 Part V: Future works
Outline
2 / 41
 Amin Azari, born 1988, Iran
 Education:
 BS (2010), MS (2013), Tehran & Rostock University (Iran & Germany).
 Lic. (2016) from ICT school, KTH:
 Battery lifetime-aware cellular network design
 Results: 1 thesis, 1 patent, 3 journals, 7 conf. publications
 Towards PhD (from 2017):
 Grant-free access for IoT communications
 Distributed optimization, machine learning, stochastic geometry
 Visit Aalborg University (3 months in spring 2017, Danish grant)
I.1) About me
3 / 41Part I) Introduction
I.2) Motivation
Characteristics of IoT
 massive in number of connections
 small payload size
 require long battery lifetime
Legacy cellular networks: grant-based radio access
 extensive signaling
 sending several bits requires several bytes overhead
– inefficiency for battery-limited devices
– causes congestion in network for control
– for URLLC: reliability depends on 3 transactions that cannot be
coded jointly, i.e. access reservation, response, data transfer.
4 / 41Part I) Introduction
I.2) Motivation
 no need for synchronization
– reduce delay & overhead & energy consumption
– reduce cost of device, i.e. low-cost oscillator
 no need for access reservation
– reduce delay & overhead & energy consumption
 but the above benefits are not coming for free…
– When/how much can we gain from grant-free access?
 Recent interests:
– [3GPP, “Overall solutions for UL grant free transmission”, 2017.]
– SigFox, LoRaWAN, etc.
5 / 41Part I) Introduction
Grant-free access
I.3) Prior Works
 Performance Evaluation:
– 2D time-frequency interference modelling using stochastic
geometry for performance evaluation LPWANs,
[Z. Li et al., 2016]
 Protocol design:
– Enhanced contention resolution ALOHA
[Clazzer et al, 2013]
– Asynchronous contention resolution diversity
[De Gaudenzi et al, 2014]
6 / 41Part I) Introduction
 Part I) Introduction
 Part II) Coexistence analysis
 Interference analysis
 Coverage analysis
 Part III) Deployment and operation strategies
 Analytical coverage, reliability, cost modeling
 Optimized operation points
 Part IV) Protocol design
 Elements of the protocol
 Performance evaluation and results
 Part V) Future works
Outline
7 / 41
II.1) system model
 Devices: 𝐾 types:
– Heterogeneous, e.g. SigFox, LoRa.
– Different in:
• Pattern of time/freq. usage,
• Transmit power,
• Rates of packet arrival at nodes, etc.
 Dense IoT device deployment, PCP.
– (𝜆 𝑘, 𝜐 𝑘, 𝑓(𝑥)) density of PP, avg. DP per PP, dist. of DP
 Fading: Nakagami-m. Pathloss:1/(𝑎 + 𝑏 𝑧
𝛿
)
 Application: ISM-band solutions, Cellular-band solutions
8 / 41Part II) Coexistence analysis
Type-1 node
Type-2 node Type-2 AP
Type-1 AP
𝐾 = 2, ISM
II.2) Research questions
 Probability of uplink coverage at distance 𝑑 from
the AP?
 Reliability of communications at a random point of
network for
– a given deployment of APs (joint and independent
reception), and
– a given number of transmissions per packet?
9 / 41Part II) Coexistence analysis
II.3) Interference analysis
 Finding Laplace functional (LF) of the interference,
because:
 LF of interference in cellular networks mature,
while for short packet communications there is no
prior work.
10 / 41Part II) Coexistence analysis
LF interference LF noise
II.3) Interference analysis
Problems in using stochastic geometry (prior art):
 Partial overlapping in time and frequency
 Different transmit powers, transmission times, packet
generation rates, BW of signals, total BW for
communications.
11 / 41Part II) Coexistence analysis
II.3) Interference analysis
 By defining time and frequency activity factors, we
have derived LF of interference:
 In PPP reduces to:
12 / 41Part II) Coexistence analysis
×
ℒ 𝐼Ψ 𝑧 𝑠 =
𝑖=1
𝐾
exp(− 𝜐𝑖 𝐸 ℎ 𝛿 Γ 1 − 𝛿 𝑠 𝑃𝑖
𝛿
)
Own cluster
All other clusters
II.3) Coverage analysis
 Lowerbound for type 𝑖 at distance ||𝑧||:
 Closed-form exact expressions for PPP.
 Insights: impact of 𝑊, 𝑃𝑡, 𝜆 𝑎on coverage.
13 / 41Part II) Coexistence analysis
Where for 𝑔 𝑧 = 𝑧
−𝛿
.
II.3) Coverage analysis
 Now, for any point in the network,
– given distance vector d from neighbour APs
– given number of transmissions per packet
We are able to derive the outage probability.
 In PPP deployment of APs:
– CDF of distance to 𝑙-th AP:
then, closed-form expression for outage for a random
device in the network is derived.
14 / 41Part II) Coexistence analysis
II.4) Simulation results
15 / 41Part II) Coexistence analysis
 Parameters (simplified LoRa network with interferers)
II.4) Simulation results
16 / 41Part II) Coexistence analysis
II.4) Simulation results
17 / 41Part II) Coexistence analysis
 Part I) Introduction
 Part II) Coexistence analysis
 Interference analysis
 Coverage analysis
 Part III) Deployment and operation strategies
 Analytical coverage, reliability, cost modeling
 Optimized operation points
 Part IV) Protocol design
 Elements of the protocol
 Performance evaluation and results
 Part V) Future works
Outline
18 / 41
III.1) system model
 Similar to part II:
– Dense IoT device deployment, PCP.
– Type of devices:
• Heterogeneous, e.g. SigFox, LoRa, Alarms, etc.
• Different in:
– Pattern of time/frequency resource usage,
– Transmit power,
– Rates of packet arrival at nodes, etc.
– Fading: Nakagami-m.
19 / 41Part III) Deployment and operation
Type-1 node Type-2 node BS
𝐾 = 2, Cellular
III.2) Research questions
 Deployment phase:
– Regarding impact of 𝑊 and 𝜆 𝑎 on coverage:
*optimized amount of investment in densification and
spectrum leasing for a given reliability for IoT.
 Operation phase:
– Regarding impact of transmit power and
subchannel/code selection:
*optimized online policy for transmission for a given
reliability and AP deployment density.
20 / 41Part III) Deployment and operation
III.3) KPI modeling
 Cost of the access network:
 Reliability of communications:
– Investigated in part II, e.g. for grid AP deployment:
 Expected battery lifetime of devices:
– 𝐿 𝑖 =
[Energy Storage: 𝐸0]
[Energy Consumed Per Reporting]
[Reporting Period: 𝑇𝑖]
21 / 41Part III) Deployment and operation
III.4) Analysis (ongoing)
 Investigation of the following problems:
– Deployment:
– Operation:
22 / 41Part III) Deployment and operation
III.4) Initial simulation results
23 / 41Part II) Coexistence analysis
 Fixed 𝑊 and 𝑃𝑖, variable 𝜆 𝑎
Dense BS deployment Sparse BS deployment
 Part I) Introduction
 Part II) Coexistence analysis
 Interference analysis
 Coverage analysis
 Part III) Deployment and operation strategies
 Analytical coverage, reliability, cost modeling
 Optimized operation points
 Part IV) Protocol design
 Elements of the protocol
 Performance evaluation and results
 Part V) Future works
Outline
24 / 41
IV.1) system model
 Dense IoT device deployment, PPP
 Packet arrival at nodes: Poisson

signal BW
Available spectrum
≪ 1
– Utra-NarrowBand (UNB) system
25 / 41Part IV) Protocol design
IV.3) Key idea
In UNB the signal bandwidth is smaller than the
precision of the carrier frequency
 random frequency deviation used as an
identification code as in:
[Fyhn, Jacobsen, Popovski, Scaglione, Larsen, 2011]
frequency
Intended carrier frequency
Max
drift
Max
drift
𝑉𝐹𝑖
Δ𝑓𝑖
𝜏𝑖
time
26 / 41Part IV) Protocol design
IV.4) Transmission structure
 virtual frame
– sends one replica of packet immediately;
– forms a virtual frame, selects N slots to send replicas.
– N: design parameter
– use of SIC
𝑀 slots =𝑀𝑇𝑝 seconds
Reference time
carrier frequency:
𝑓𝑖 = 𝑓 + Δ𝑓𝑖
selected N slots for
main packet/replicas
transmissions
27 / 41Part IV) Protocol design
IV.5) Receiver design
 Problem of partial interference due to
asynchronicity
Frequency
Intended carrier frequency
Max
drift
Max
drift
𝑉𝐹𝑖
Δ𝑓𝑖
𝜏𝑖
Time
28 / 41Part IV) Protocol design
IV.5) Receiver design
i. Use of Zadoff-Chu as preamble in transmitters:
i. length of preamble: design parameter.
ii. tradeoff: overhead vs. decodeability
ii. window the received signal
i. time length: design parameter.
ii. offers tradeoff: delay and decodeability
iii. decode with intended frequency
iv. use periodogram and search for peaks
i. peaks drift from carrier frequencies in the receive
signal, i.e. represent a signature of some devices.
29 / 41Part IV) Protocol design
IV.5) Proposed receiver design
 Potential solution: Graphical overview
30 / 41Part IV) Protocol design
IV.6) Analysis
31 / 41Part IV) Protocol design
IV.6) Analysis
 TiSy: devices are slot synchronized.
 FrSy: the CFOs of the devices can take equally-spaced
discrete values, i.e. the devices are sub-channel
synchronized, where the channels are spaced each 200 Hz.
 reference: granted radio access with
10 random access resources each 2 seconds.
 offered load per channel
32 / 41Part IV) Protocol design
IV.6) Analysis: network EE
33 / 41Part IV) Protocol design
IV.6) Analysis: battery lifetime
34 / 41Part IV) Protocol design
IV.6) Analysis: delay
35 / 41Part IV) Protocol design
IV.6) Analysis: reliability
36 / 41Part IV) Protocol design
IV.7: concluding remarks
 In low to medium traffic load regime,
grant-free access can:
– achieve low energy consumption,
– Decrease the experienced delay.
 There is a switchover traffic load beyond which
granted-access outperform grant-free access.
 Under very low load, reliability increased significantly
37 / 41Part IV) Protocol design
 Part I) Introduction
 Part II) Coexistence analysis
 Interference analysis
 Coverage analysis
 Part III) Deployment and operation strategies
 Analytical coverage, reliability, cost modeling
 Optimized operation points
 Part IV) Protocol design
 Elements of the protocol
 Performance evaluation and results
 Part V) Future works
Outline
38 / 41
V: Future works
 Use of ML for
– physical layer authentication!
– Better contention resolution!
– Less interference!
39 / 41Part V) Future works
V: Future works
 Publications:
– Grant-Free Radio Access for Short-Packet Communications over 5G
Networks, A Azari, P Popovski, G Miao, C Stefanovic, IEEE GC 2017
– Optimized Deployment and Operation Strategies for Grant-free Radio
Access IoT Networks, Amin Azari, M Masoudi, C Cavdar, IEEE wireless
communications letters (to be submitted, 2017)
– Grant-free, Grant-based, or Hybrid? Mode Switching MAC for Cellular IoT
Networks, Amin Azari, IEEE Transactions on Wireless Communications (to
be submitted, 2018)
– Grant-free Radio Access IoT Networks: Scalability Analysis in Coexistence
Scenarios, M Masoudi, A Azari, EA Yavuz, C Cavdar, IEEE ICC 2018
40 / 41Part V) Future works
Questions
 Thanks for your kind attention,
 Questions and answers.
The End
The End!

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Grant free IoT, Ericsson Research Presentation

  • 1. KTH ROYAL INSTITUTE OF TECHNOLOGY Grant-Free Radio Access for IoT Communications Amin Azari RS Lab, ICT School, KTH
  • 2.  Part I: Introduction  Part II) Coexistence analysis  Interference analysis  Coverage analysis  Deployment and operation strategies  Analytical coverage, reliability, cost modeling  Optimized operation points  Part IV) Protocol design  Elements of the protocol  Performance evaluation and results  Part V: Future works Outline 2 / 41
  • 3.  Amin Azari, born 1988, Iran  Education:  BS (2010), MS (2013), Tehran & Rostock University (Iran & Germany).  Lic. (2016) from ICT school, KTH:  Battery lifetime-aware cellular network design  Results: 1 thesis, 1 patent, 3 journals, 7 conf. publications  Towards PhD (from 2017):  Grant-free access for IoT communications  Distributed optimization, machine learning, stochastic geometry  Visit Aalborg University (3 months in spring 2017, Danish grant) I.1) About me 3 / 41Part I) Introduction
  • 4. I.2) Motivation Characteristics of IoT  massive in number of connections  small payload size  require long battery lifetime Legacy cellular networks: grant-based radio access  extensive signaling  sending several bits requires several bytes overhead – inefficiency for battery-limited devices – causes congestion in network for control – for URLLC: reliability depends on 3 transactions that cannot be coded jointly, i.e. access reservation, response, data transfer. 4 / 41Part I) Introduction
  • 5. I.2) Motivation  no need for synchronization – reduce delay & overhead & energy consumption – reduce cost of device, i.e. low-cost oscillator  no need for access reservation – reduce delay & overhead & energy consumption  but the above benefits are not coming for free… – When/how much can we gain from grant-free access?  Recent interests: – [3GPP, “Overall solutions for UL grant free transmission”, 2017.] – SigFox, LoRaWAN, etc. 5 / 41Part I) Introduction Grant-free access
  • 6. I.3) Prior Works  Performance Evaluation: – 2D time-frequency interference modelling using stochastic geometry for performance evaluation LPWANs, [Z. Li et al., 2016]  Protocol design: – Enhanced contention resolution ALOHA [Clazzer et al, 2013] – Asynchronous contention resolution diversity [De Gaudenzi et al, 2014] 6 / 41Part I) Introduction
  • 7.  Part I) Introduction  Part II) Coexistence analysis  Interference analysis  Coverage analysis  Part III) Deployment and operation strategies  Analytical coverage, reliability, cost modeling  Optimized operation points  Part IV) Protocol design  Elements of the protocol  Performance evaluation and results  Part V) Future works Outline 7 / 41
  • 8. II.1) system model  Devices: 𝐾 types: – Heterogeneous, e.g. SigFox, LoRa. – Different in: • Pattern of time/freq. usage, • Transmit power, • Rates of packet arrival at nodes, etc.  Dense IoT device deployment, PCP. – (𝜆 𝑘, 𝜐 𝑘, 𝑓(𝑥)) density of PP, avg. DP per PP, dist. of DP  Fading: Nakagami-m. Pathloss:1/(𝑎 + 𝑏 𝑧 𝛿 )  Application: ISM-band solutions, Cellular-band solutions 8 / 41Part II) Coexistence analysis Type-1 node Type-2 node Type-2 AP Type-1 AP 𝐾 = 2, ISM
  • 9. II.2) Research questions  Probability of uplink coverage at distance 𝑑 from the AP?  Reliability of communications at a random point of network for – a given deployment of APs (joint and independent reception), and – a given number of transmissions per packet? 9 / 41Part II) Coexistence analysis
  • 10. II.3) Interference analysis  Finding Laplace functional (LF) of the interference, because:  LF of interference in cellular networks mature, while for short packet communications there is no prior work. 10 / 41Part II) Coexistence analysis LF interference LF noise
  • 11. II.3) Interference analysis Problems in using stochastic geometry (prior art):  Partial overlapping in time and frequency  Different transmit powers, transmission times, packet generation rates, BW of signals, total BW for communications. 11 / 41Part II) Coexistence analysis
  • 12. II.3) Interference analysis  By defining time and frequency activity factors, we have derived LF of interference:  In PPP reduces to: 12 / 41Part II) Coexistence analysis × ℒ 𝐼Ψ 𝑧 𝑠 = 𝑖=1 𝐾 exp(− 𝜐𝑖 𝐸 ℎ 𝛿 Γ 1 − 𝛿 𝑠 𝑃𝑖 𝛿 ) Own cluster All other clusters
  • 13. II.3) Coverage analysis  Lowerbound for type 𝑖 at distance ||𝑧||:  Closed-form exact expressions for PPP.  Insights: impact of 𝑊, 𝑃𝑡, 𝜆 𝑎on coverage. 13 / 41Part II) Coexistence analysis Where for 𝑔 𝑧 = 𝑧 −𝛿 .
  • 14. II.3) Coverage analysis  Now, for any point in the network, – given distance vector d from neighbour APs – given number of transmissions per packet We are able to derive the outage probability.  In PPP deployment of APs: – CDF of distance to 𝑙-th AP: then, closed-form expression for outage for a random device in the network is derived. 14 / 41Part II) Coexistence analysis
  • 15. II.4) Simulation results 15 / 41Part II) Coexistence analysis  Parameters (simplified LoRa network with interferers)
  • 16. II.4) Simulation results 16 / 41Part II) Coexistence analysis
  • 17. II.4) Simulation results 17 / 41Part II) Coexistence analysis
  • 18.  Part I) Introduction  Part II) Coexistence analysis  Interference analysis  Coverage analysis  Part III) Deployment and operation strategies  Analytical coverage, reliability, cost modeling  Optimized operation points  Part IV) Protocol design  Elements of the protocol  Performance evaluation and results  Part V) Future works Outline 18 / 41
  • 19. III.1) system model  Similar to part II: – Dense IoT device deployment, PCP. – Type of devices: • Heterogeneous, e.g. SigFox, LoRa, Alarms, etc. • Different in: – Pattern of time/frequency resource usage, – Transmit power, – Rates of packet arrival at nodes, etc. – Fading: Nakagami-m. 19 / 41Part III) Deployment and operation Type-1 node Type-2 node BS 𝐾 = 2, Cellular
  • 20. III.2) Research questions  Deployment phase: – Regarding impact of 𝑊 and 𝜆 𝑎 on coverage: *optimized amount of investment in densification and spectrum leasing for a given reliability for IoT.  Operation phase: – Regarding impact of transmit power and subchannel/code selection: *optimized online policy for transmission for a given reliability and AP deployment density. 20 / 41Part III) Deployment and operation
  • 21. III.3) KPI modeling  Cost of the access network:  Reliability of communications: – Investigated in part II, e.g. for grid AP deployment:  Expected battery lifetime of devices: – 𝐿 𝑖 = [Energy Storage: 𝐸0] [Energy Consumed Per Reporting] [Reporting Period: 𝑇𝑖] 21 / 41Part III) Deployment and operation
  • 22. III.4) Analysis (ongoing)  Investigation of the following problems: – Deployment: – Operation: 22 / 41Part III) Deployment and operation
  • 23. III.4) Initial simulation results 23 / 41Part II) Coexistence analysis  Fixed 𝑊 and 𝑃𝑖, variable 𝜆 𝑎 Dense BS deployment Sparse BS deployment
  • 24.  Part I) Introduction  Part II) Coexistence analysis  Interference analysis  Coverage analysis  Part III) Deployment and operation strategies  Analytical coverage, reliability, cost modeling  Optimized operation points  Part IV) Protocol design  Elements of the protocol  Performance evaluation and results  Part V) Future works Outline 24 / 41
  • 25. IV.1) system model  Dense IoT device deployment, PPP  Packet arrival at nodes: Poisson  signal BW Available spectrum ≪ 1 – Utra-NarrowBand (UNB) system 25 / 41Part IV) Protocol design
  • 26. IV.3) Key idea In UNB the signal bandwidth is smaller than the precision of the carrier frequency  random frequency deviation used as an identification code as in: [Fyhn, Jacobsen, Popovski, Scaglione, Larsen, 2011] frequency Intended carrier frequency Max drift Max drift 𝑉𝐹𝑖 Δ𝑓𝑖 𝜏𝑖 time 26 / 41Part IV) Protocol design
  • 27. IV.4) Transmission structure  virtual frame – sends one replica of packet immediately; – forms a virtual frame, selects N slots to send replicas. – N: design parameter – use of SIC 𝑀 slots =𝑀𝑇𝑝 seconds Reference time carrier frequency: 𝑓𝑖 = 𝑓 + Δ𝑓𝑖 selected N slots for main packet/replicas transmissions 27 / 41Part IV) Protocol design
  • 28. IV.5) Receiver design  Problem of partial interference due to asynchronicity Frequency Intended carrier frequency Max drift Max drift 𝑉𝐹𝑖 Δ𝑓𝑖 𝜏𝑖 Time 28 / 41Part IV) Protocol design
  • 29. IV.5) Receiver design i. Use of Zadoff-Chu as preamble in transmitters: i. length of preamble: design parameter. ii. tradeoff: overhead vs. decodeability ii. window the received signal i. time length: design parameter. ii. offers tradeoff: delay and decodeability iii. decode with intended frequency iv. use periodogram and search for peaks i. peaks drift from carrier frequencies in the receive signal, i.e. represent a signature of some devices. 29 / 41Part IV) Protocol design
  • 30. IV.5) Proposed receiver design  Potential solution: Graphical overview 30 / 41Part IV) Protocol design
  • 31. IV.6) Analysis 31 / 41Part IV) Protocol design
  • 32. IV.6) Analysis  TiSy: devices are slot synchronized.  FrSy: the CFOs of the devices can take equally-spaced discrete values, i.e. the devices are sub-channel synchronized, where the channels are spaced each 200 Hz.  reference: granted radio access with 10 random access resources each 2 seconds.  offered load per channel 32 / 41Part IV) Protocol design
  • 33. IV.6) Analysis: network EE 33 / 41Part IV) Protocol design
  • 34. IV.6) Analysis: battery lifetime 34 / 41Part IV) Protocol design
  • 35. IV.6) Analysis: delay 35 / 41Part IV) Protocol design
  • 36. IV.6) Analysis: reliability 36 / 41Part IV) Protocol design
  • 37. IV.7: concluding remarks  In low to medium traffic load regime, grant-free access can: – achieve low energy consumption, – Decrease the experienced delay.  There is a switchover traffic load beyond which granted-access outperform grant-free access.  Under very low load, reliability increased significantly 37 / 41Part IV) Protocol design
  • 38.  Part I) Introduction  Part II) Coexistence analysis  Interference analysis  Coverage analysis  Part III) Deployment and operation strategies  Analytical coverage, reliability, cost modeling  Optimized operation points  Part IV) Protocol design  Elements of the protocol  Performance evaluation and results  Part V) Future works Outline 38 / 41
  • 39. V: Future works  Use of ML for – physical layer authentication! – Better contention resolution! – Less interference! 39 / 41Part V) Future works
  • 40. V: Future works  Publications: – Grant-Free Radio Access for Short-Packet Communications over 5G Networks, A Azari, P Popovski, G Miao, C Stefanovic, IEEE GC 2017 – Optimized Deployment and Operation Strategies for Grant-free Radio Access IoT Networks, Amin Azari, M Masoudi, C Cavdar, IEEE wireless communications letters (to be submitted, 2017) – Grant-free, Grant-based, or Hybrid? Mode Switching MAC for Cellular IoT Networks, Amin Azari, IEEE Transactions on Wireless Communications (to be submitted, 2018) – Grant-free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios, M Masoudi, A Azari, EA Yavuz, C Cavdar, IEEE ICC 2018 40 / 41Part V) Future works
  • 41. Questions  Thanks for your kind attention,  Questions and answers.