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How to build
high-performance
5G networks
with vRAN and O-RAN?
17 February 2021
@QCOMResearch
O-RAN
For better coordination, scalable capacity, faster deployments, lower latency, and new use cases
BBU: Baseband unit; DU: Distributed unit; vBBU: Virtual baseband unit; vCore: Virtual core network; vCU: Virtual central unit; MEC: Multi-access Edge Computing
Virtual RAN (vRAN) + MEC
Virtualized baseband processing unit
with disaggregation
RU
RU RU
RU
Internet
Core hub
Edge cloud
Cell site Cell site
Backhaul
Midhaul
Centralized RAN (C-RAN)
Centralized baseband processing unit
RU
Radio
Cell site Cell site
Fronthaul
RU
Radio
Internet
Core hub
C-RAN hubs
Backhaul
Traditional RAN
Combined baseband processing unit + Radio unit
Internet
Core hub
Cell site Cell site
Backhaul
RU
BBU
Radio RU
BBU
Radio
RU
BBU
vCU
vCore
MEC
Fronthaul
DU
Open RAN Interfaces
3
COTS compute with
HW accelerated
baseband
COTS compute
BBU: Baseband unit; COTS: Commercial off-the-shelf;
CP: Control plane; CU: Central unit; DU: Distributed unit;
UP: User plane; vCore: Virtual core network; vCU: Virtual
central unit
Disaggregation
can create a
more open and
interoperable
virtual RAN
Core BBU Radio
Backhaul Fronthaul
Disaggregate RAN hardware
and software with COTS HW
4
Disaggregate layers
of the protocol stack
BBU: Baseband unit; COTS: Commercial off-the-shelf;
CP: Control plane; CU: Central unit; DU: Distributed unit;
UP: User plane; vCore: Virtual core network; vCU: Virtual
central unit
Disaggregate RAN hardware
and software with COTS HW
Disaggregation
can create a
more open and
interoperable
virtual RAN
Open
backhaul
Open
fronthaul
Virtual
Core
Virtual BBU
(CU + DU)
RF
COTS compute with
HW accelerated
baseband
COTS compute Radio
5
Disaggregate control plane
and user plane functions
Open
backhaul
Virtual
Core UP
Virtual
CU UP
BBU: Baseband unit; COTS: Commercial off-the-shelf;
CP: Control plane; CU: Central unit; DU: Distributed unit;
UP: User plane; vCore: Virtual core network; vCU: Virtual
central unit
Disaggregate layers
of the protocol stack
Disaggregation
can create a
more open and
interoperable
virtual RAN
Open
fronthaul
Open
backhaul
Open
midhaul
Virtual
Core
Virtual
CU
DU
COTS compute
COTS compute COTS compute with
HW accelerated
baseband
RF
Radio
6
COTS compute
BBU: Baseband unit; COTS: Commercial off-the-shelf;
CP: Control plane; CU: Central unit; DU: Distributed unit;
UP: User plane; vCore: Virtual core network; vCU: Virtual
central unit
Disaggregate control plane
and user plane functions
Disaggregation
can create a
more open and
interoperable
virtual RAN
Open
fronthaul
Open
midhaul DU RF
Radio
Open
backhaul
Virtual
Core CP
Virtual
CU CP
COTS compute
COTS compute with
HW accelerated
baseband
Open
backhaul
Virtual
Core UP
Virtual
CU UP
7
Virtual Central Unit
Control and user plane separation
control plane
user plane
E1
Distributed Unit
Remote radio head w/
centralized baseband
Remote radio head +
PHY with centralized
baseband
Allows for interoperability
between the CU and DU
PDCP
High
RLC
Low
RLC
High
MAC
Low
MAC
High
PHY
Low
PHY
RF
SDAP
RRC
Radio
Active antenna
systems
Core Network
option 2 option 6 option 7 option 8
CU: Central unit; DU: Distributed unit; MAC: Medium
access control; PDCP: Packet data convergence
protocol; PHY: Physical layer; RF: Radio frequency; RLC:
Radio link control; RRC: Radio resource control; SDAP:
Service data adaptation protocol
Designed for
unprecedented
flexibility and
cost-effective
network
deployments
3GPP TR 38.801
8
vCU
PDCP
SDAP
RRC
Designed for
unprecedented
flexibility and
cost-effective
network
deployments
Option 2
Option 6 / 7
Core Network
Distributed Unit (including radio)
vDU Radio Unit
RLC MAC
High
PHY
Low
PHY
RF
Allows for interoperability
between the CU and DU
Remote radio head + PHY
with centralized baseband
Remote radio head w/
centralized baseband
Low
PHY
RF
option 2
Relaxed
backhaul
requirements
Superior
coordinated
multi-point
vCU
PDCP
SDAP
RRC
Core Network
option 7
RLC MAC
SON: Self-optimizing networks; nFAPI: Network
functional application platform interface
option 6
High
PHY
9
vCU
PDCP
SDAP
RRC
Distributed Unit (including radio)
vDU Radio Unit
MAC
High
PHY
Low
PHY
RF
RLC
Low
PHY
RF
Relaxed
backhaul
requirements
Superior
coordinated
multi-point
RLC MAC
High
PHY
Core Network
Near-Real Time
RAN Intelligent
Controller
O-RAN
E2
Broaden the
interoperable
ecosystem with
standardized
open interfaces
CUS: Control, User and Synchronization plane
nFAPI: Network functional application platform interface
option 2
F1
3GPP
NG
3GPP
option 2
F1
3GPP
SCF
option 6
nFAPI
O-RAN
option 7.2x
CUS
O-RAN Alliance
Small Cell Forum
Third Generation Partnership Project
3GPP
SCF
O-RAN
10
Disaggregate RAN hardware
and software with COTS HW
Disaggregate layers of the
protocol stack
Disaggregate control plane
and user plane functions
Efficiently deploy
new services
Support different
deployment scenarios
Build denser networks
Ride the
innovation wave
Improve resource scalability
and utilization
Disaggregate to maximize the benefits of virtual RAN
vRAN
10
11
Efficiently deploy
new services
Support different
deployment scenarios
Build denser networks
Ride the
innovation wave
Improve resource scalability
and utilization
Deploy networks faster with vRAN and disaggregation
Improve cost and energy effectiveness with trunking
gains from resource pooling
Rapidly scale virtual resources for additional capacity
Support lower end-to-end latency
Evolve and upgrade components separately
Tailor dimensioning and features to suit the use case
with 5G private networks
Reduce cell-site footprint by relocating disaggregated
functions to data centers
Build a denser network by accessing more locations
with compact installations
Place processing and analytics where it is needed
Simplify orchestration
Broaden the ecosystem for competition
Spur innovation with vendor diversity
Select best-of-breed network components
vRAN
11
12
O-CU-UP
O-CU-CP
Multi-RAT CU
Protocol Stack
O-RU: PHY-low/RF
O-DU: RLC/MAC/PHY-high + Hardware accelerators
RAN Intelligent Controller
(RIC) non-Real Time
Orchestration and Automation
RAN Intelligent Controller (RIC) near-Real Time
DevOps
Accelerate 5G innovation with modular
components and standardized open interfaces
O-RAN architecture
CU: Central unit; DU: Digital unit; eMBB: Enhanced mobile broadband; NF: Network function; mMTC:
Massive machine type communications; O-: ORAN-; RIC: RAN intelligent controller; RU: Radio unit
Set the foundation for interoperability by design with
standardized open interfaces
Drive distributed development and operations (DevOps)
with modular network components
Build a common platform for public networks
and the growing private network market
Leverage a broader ecosystem for
high-performance 5G with best-in-class
functionality
Accelerate feature development, problem
resolution and product differentiation
13
CU: Central unit; DU: Digital unit; eMBB: Enhanced mobile broadband; NF: Network function; mMTC:
Massive machine type communications; O-: ORAN-; RIC: RAN intelligent controller; RU: Radio unit
Optimize architecture for
application with O-RAN
O-RAN offers a comprehensive set of network
architectures for different application constraints
Application-specific constraints influence
network topology
Regional cloud
Regional cloud
Regional cloud
Regional cloud
Regional cloud Edge cloud
Edge cloud
Edge cloud
O-RAN
Physical NF
Edge Location
E2
Edge cloud
Cell site
compute
Cell site compute
O-RAN
Physical NF
Cell Site
O-RAN
Physical NF
Cell Site
O-RAN
Physical NF
Cell Site
O-RAN
Physical NF
Cell Site
F1, E2
Open
fronthaul
O-RU
F1
E2
E2
Near-RT
RIC
O-CU O-DU
O-CU to O-DU O-DU to O-RU
Enhanced mobile broadband (eMBB) 625 μs (125 km) 100 μs (20 km)
Massive IoT (mMTC) 625 μs (125 km) 100 μs (20 km)
URLLC control plane 625 μs (125 km)
100 μs (20 km)
URLLC user plane 100 μs (20 km)
13
One-way distance and delay constraints
Physical topologies
Enhanced
mobile
broadband
and
Massive
IoT
URLLC
14
COTS: Commercial off-the-shelf; O-CU: O-RAN central unit; O-DU: O-RAN distributed unit;
O-RU: O-RAN radio unit; QoS: Quality of service; RAT: Radio access technology; RT: Real-time
RAN Intelligent Controllers (RIC) unlock new capabilities
for the intelligent RAN
O-RAN architecture
• Robust RAN analytics for wide area networks
• Train machine learning models at scale
• Enforce intelligent policy control
Non-Real Time RIC
• Deep learning with fine-resolution data
• Drive AI/ML-based performance optimization for complex,
interdependent RAN algorithms
Near-Real Time RIC
• Add RAN Intelligent Controllers to the vRAN COTS platform
• Dimension network intelligence with network capacity
• Ensure secure access to training data
Scale intelligence securely with the network
Regional
cloud
A1
Design Inventory Policy Configuration
RAN Intelligent Controller
(RIC) non-RT
Orchestration and Automation
RAN Intelligent Controller
(RIC) non-Real Time
Edge
cloud
RAN Intelligent Controller (RIC) near-Real Time
Radio
connection
mgmt.
Mobility
mgmt.
QoS
mgmt.
Interference
mgmt.
Trained
models
Open fronthaul
O-RU: PHY-low/RF
vO-DU
vO-CU
F1
E2
O1
15
AAL: Acceleration abstraction layer; NF: Network function; O-Cloud: O-RAN cloud; OFH: Open fronthaul
Drive vRAN performance and efficiency with hardware accelerators
O-RAN architecture
15
• Abstracted accelerator model fully
decouples HW and SW for maximum
flexibility with virtualized or containerized
network functions
• Pass-through accelerator model reduces
latency between latency-sensitive or real-
time network functions and hardware
accelerators
Two accelerator deployment models
O-Cloud
NF
AAL
Driver
NF
AAL
Driver
Backend
Accelerator Accelerator
Abstracted
accelerator
model
Pass through
accelerator
model
VirtIO SR-IOV
Two CPU offload architectures
CPU
Look-aside HW accelerator
for offloading functions selectively
F(n-1)
F2
Accelerator Abstraction Layer (AAL)
Downlink
Uplink
Inline HW accelerator
for offloading functional chains
Downlink
Uplink
F3 F4 Fn
F1
CPU AAL
F1 F2 F3 F(n-1) Fn
16
F1 FAPI / nFAPI CUS
Digital Unit (DU)
Digital Unit (DU)
COTS: Commercial off-the-shelf; CUS: Control, User and Synchronization plane; L1: Layer 1 - PHY; L2: Layer 2 – MAC and RLC;
MAC: Medium access control; nFAPI: Network functional application platform interface; RLC: Radio link control; SWaP: Size, weight and power
Reduce DU SWaP with HW-accelerated real-time functions
Modularize with nFAPI for L2 on COTS HW
and a fully-accelerated inline PHY
Optimize physical parameters for PHY layer
efficiency with HW accelerators
16
Efficiently handle multiple functions with
inline accelerators
vCU
L2/L1
interface
RLC MAC
CPU High PHY on CPU
F
3
F
4
F
n
F
1
F
(n-1)
F
2
Low
PHY
RF
Radio Unit
Look-aside
hardware PHY acceleration
Accelerator Abstraction Layer (AAL)
L3/L2
interface
Fronthaul
interface
RLC MAC
CPU
AAL
F
(n-1)
F
1
Low
PHY
RF
Radio Unit
Inline HW PHY acceleration
F
(n)
F
2
vCU
L3/L2
interface
Fronthaul
interface
L2/L1
interface
Size
Weight
Power
DU without HW acceleration
DU with HW acceleration
SWaP
17
Source: https://www.idc.com/events/futurescape
Digital intelligence in
the cloud will drive the
enterprise of the future
IDC FutureScape:
Worldwide Future of Digital Infrastructure 2021
automated digital
infrastructure for business
resiliency and security
60%
cloud-native
architectures for core
business applications
75%
embedded AI functions
in their business-
critical workloads
55%
Intelligent
networks
Modular network
components
Hyperscale
technologies
Edge
cloud
Hardware
accelerators
vRAN
Enterprises in 2024
18
Reduce end-to-end
latency
with 5G and MEC for industrial IoT
and delay-sensitive applications,
e.g. Boundless XR
Support multiple services
by deploying network and compute
resources opportunistically for various
latency, throughput and reliability
needs
DU: Distributed unit; MEC: Multi-access edge compute; PHY: Physical layer; RU: Radio unit; vCore: Virtual core network; vCU: Virtual central unit; vRAN: Virtual radio access network; vUPF: Virtual user plane function
Transform industry and enterprise with 5G, vRAN and MEC
Increase data security
and privacy
by keeping data local and physically
secure
DU
RU
Core hub
Edge data
centers
Small cell Small cell
Backhaul
vUPE
MEC
5G public network
5G private network
vCore
Private data
sources
Secure
use of
private data
RU
DU
Midhaul
vCU
Increase availability
and scalability
• by using common edge compute
resources for both vRAN and MEC
• by independently scaling resources
for control plane and user plane
traffic
DU
RU
Core hub
Edge data
centers
Small cell Small cell
Backhaul
vUPE
MEC
5G public network
5G private network
vCore
Private data
sources
Secure
use of
private data
Seamless
access to
public data
RU
DU
Midhaul
vCU
DU
RU
Core hub
Edge data
centers
Small cell Small cell
Backhaul
vUPE
MEC
5G public network
5G private network
vCore
Private data
sources
Secure
use of
private data
Seamless
access to
public data
RU
DU
Midhaul
vCU
DU
RU
Core hub
Edge data
centers
Small cell Small cell
Backhaul
vUPE
MEC
5G public network
5G private network
vCore
Private data
sources
Secure
use of
private data
Seamless
access to
public data
RU
DU
Midhaul
vCU
19
Advance 5G
with network
slicing
Protect end-to-end QoS between
services and sandbox new services
Tailor network architecture to
service-specific latency needs
Position resources to suit
deployment constraints
Build one private network with an
on-prem edge for multiple use cases
20
Independent private network scenario
UPF
On-site
edge
Integrated private network scenario
DU RU
CU-UP
CU-CP
Advance 5G
with network
slicing
Protect end-to-end QoS between
services and sandbox new services
Tailor network architecture to
service-specific latency needs
Position resources to suit
deployment constraints
Build one private network with an
on-prem edge for multiple use cases
More centralized Lower latency Lowest latency
Regional
cloud
eMBB
Massive IoT
Centralized scenario
Cell sites
Local
edge
eMBB
Massive IoT
Boundless XR
V2X / URLLC
Local edge scenario
UPF
CU-UP DU RU
CU-CP
CU-UP
RU
DU
CU-UP
UPF
A scalable and flexible wireless edge
eMBB
Massive IoT
Boundless XR
V2X
URLLC
Industrial IoT
DU RU
CU-UP
CU-CP
eMBB
Massive IoT
Boundless XR
Industrial IoT
On-site
edge
UPF
Digital twins for predictive maintenance
Real-time asset tracking and forecasting
Untethered collaboration with low latency
Drive new efficiencies and
innovation with an integrated
5G private network and edge
Cloud
5G network APIs open interfaces
with the private edge to facilitate:
• Responsive interactivity
• Distributed AI
• Cloud processing
Private
network
Private edge
API: Application programming interface
Public edge
APIs
Firewall
CU
DU
RIC
1
Qualcomm
5G RAN
Platforms
Building open and innovative
cellular infrastructure with high
performance Modem-RF System.
Qualcomm Radio Unit Platform, and Qualcomm Distributed Unit Platform are products of Qualcomm Technologies, Inc. and/or its subsidiaries.
®
High
Performance
Modem-RF
System
Flexible,
scalable, O-RAN
compatible
Designed for
Macro and Small
cells
vRAN with
hardware
acceleration
Integrated
mmWave & Sub-6
GHz solution with
Global band
Support
Powering the
future of the
5G networks
5G RAN
Platforms
General-purpose
COTS hardware
Driving transition to Infrastructure 2.0
Powered by extended portfolio of Qualcomm® 5G RAN platforms
Internet and
3rd party cloud
Edge
data centers
10101
10100
01010
11010
10101
10100
01010
11010
10101
10100
01010
11010
Standard-based
open RAN interfaces
Virtualized
software from
multiple vendors
Qualcomm
High-performance
Modem-RF System
High
performance
Modem-RF
Virtualization
with hardware
acceleration
Flexible, scalable,
O-RAN
compatible
From Macro
to Small Cells
Integrated Sub-6
and mmWave
solution
5G RAN
Platforms
Radio
Unit
Platform
Distributed
Platform
Radio
Unit
Platform
Follow us on:
For more information, visit us at:
www.qualcomm.com & www.qualcomm.com/blog
Thank you
Nothing in these materials is an offer to sell any of the
components or devices referenced herein.
©2018-2021 Qualcomm Technologies, Inc. and/or its
affiliated companies. All Rights Reserved.
Qualcomm is a trademark or registered trademark of
Qualcomm Incorporated. Other products and brand names
may be trademarks or registered trademarks of their
respective owners.
References in this presentation to “Qualcomm” may mean Qualcomm
Incorporated, Qualcomm Technologies, Inc., and/or other subsidiaries
or business units within the Qualcomm corporate structure, as
applicable. Qualcomm Incorporated includes our licensing business,
QTL, and the vast majority of our patent portfolio. Qualcomm
Technologies, Inc., a subsidiary of Qualcomm Incorporated, operates,
along with its subsidiaries, substantially all of our engineering,
research and development functions, and substantially all of our
products and services businesses, including our QCT semiconductor
business.

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How to build high performance 5G networks with vRAN and O-RAN

  • 1. 1 How to build high-performance 5G networks with vRAN and O-RAN? 17 February 2021 @QCOMResearch O-RAN
  • 2. For better coordination, scalable capacity, faster deployments, lower latency, and new use cases BBU: Baseband unit; DU: Distributed unit; vBBU: Virtual baseband unit; vCore: Virtual core network; vCU: Virtual central unit; MEC: Multi-access Edge Computing Virtual RAN (vRAN) + MEC Virtualized baseband processing unit with disaggregation RU RU RU RU Internet Core hub Edge cloud Cell site Cell site Backhaul Midhaul Centralized RAN (C-RAN) Centralized baseband processing unit RU Radio Cell site Cell site Fronthaul RU Radio Internet Core hub C-RAN hubs Backhaul Traditional RAN Combined baseband processing unit + Radio unit Internet Core hub Cell site Cell site Backhaul RU BBU Radio RU BBU Radio RU BBU vCU vCore MEC Fronthaul DU Open RAN Interfaces
  • 3. 3 COTS compute with HW accelerated baseband COTS compute BBU: Baseband unit; COTS: Commercial off-the-shelf; CP: Control plane; CU: Central unit; DU: Distributed unit; UP: User plane; vCore: Virtual core network; vCU: Virtual central unit Disaggregation can create a more open and interoperable virtual RAN Core BBU Radio Backhaul Fronthaul Disaggregate RAN hardware and software with COTS HW
  • 4. 4 Disaggregate layers of the protocol stack BBU: Baseband unit; COTS: Commercial off-the-shelf; CP: Control plane; CU: Central unit; DU: Distributed unit; UP: User plane; vCore: Virtual core network; vCU: Virtual central unit Disaggregate RAN hardware and software with COTS HW Disaggregation can create a more open and interoperable virtual RAN Open backhaul Open fronthaul Virtual Core Virtual BBU (CU + DU) RF COTS compute with HW accelerated baseband COTS compute Radio
  • 5. 5 Disaggregate control plane and user plane functions Open backhaul Virtual Core UP Virtual CU UP BBU: Baseband unit; COTS: Commercial off-the-shelf; CP: Control plane; CU: Central unit; DU: Distributed unit; UP: User plane; vCore: Virtual core network; vCU: Virtual central unit Disaggregate layers of the protocol stack Disaggregation can create a more open and interoperable virtual RAN Open fronthaul Open backhaul Open midhaul Virtual Core Virtual CU DU COTS compute COTS compute COTS compute with HW accelerated baseband RF Radio
  • 6. 6 COTS compute BBU: Baseband unit; COTS: Commercial off-the-shelf; CP: Control plane; CU: Central unit; DU: Distributed unit; UP: User plane; vCore: Virtual core network; vCU: Virtual central unit Disaggregate control plane and user plane functions Disaggregation can create a more open and interoperable virtual RAN Open fronthaul Open midhaul DU RF Radio Open backhaul Virtual Core CP Virtual CU CP COTS compute COTS compute with HW accelerated baseband Open backhaul Virtual Core UP Virtual CU UP
  • 7. 7 Virtual Central Unit Control and user plane separation control plane user plane E1 Distributed Unit Remote radio head w/ centralized baseband Remote radio head + PHY with centralized baseband Allows for interoperability between the CU and DU PDCP High RLC Low RLC High MAC Low MAC High PHY Low PHY RF SDAP RRC Radio Active antenna systems Core Network option 2 option 6 option 7 option 8 CU: Central unit; DU: Distributed unit; MAC: Medium access control; PDCP: Packet data convergence protocol; PHY: Physical layer; RF: Radio frequency; RLC: Radio link control; RRC: Radio resource control; SDAP: Service data adaptation protocol Designed for unprecedented flexibility and cost-effective network deployments 3GPP TR 38.801
  • 8. 8 vCU PDCP SDAP RRC Designed for unprecedented flexibility and cost-effective network deployments Option 2 Option 6 / 7 Core Network Distributed Unit (including radio) vDU Radio Unit RLC MAC High PHY Low PHY RF Allows for interoperability between the CU and DU Remote radio head + PHY with centralized baseband Remote radio head w/ centralized baseband Low PHY RF option 2 Relaxed backhaul requirements Superior coordinated multi-point vCU PDCP SDAP RRC Core Network option 7 RLC MAC SON: Self-optimizing networks; nFAPI: Network functional application platform interface option 6 High PHY
  • 9. 9 vCU PDCP SDAP RRC Distributed Unit (including radio) vDU Radio Unit MAC High PHY Low PHY RF RLC Low PHY RF Relaxed backhaul requirements Superior coordinated multi-point RLC MAC High PHY Core Network Near-Real Time RAN Intelligent Controller O-RAN E2 Broaden the interoperable ecosystem with standardized open interfaces CUS: Control, User and Synchronization plane nFAPI: Network functional application platform interface option 2 F1 3GPP NG 3GPP option 2 F1 3GPP SCF option 6 nFAPI O-RAN option 7.2x CUS O-RAN Alliance Small Cell Forum Third Generation Partnership Project 3GPP SCF O-RAN
  • 10. 10 Disaggregate RAN hardware and software with COTS HW Disaggregate layers of the protocol stack Disaggregate control plane and user plane functions Efficiently deploy new services Support different deployment scenarios Build denser networks Ride the innovation wave Improve resource scalability and utilization Disaggregate to maximize the benefits of virtual RAN vRAN 10
  • 11. 11 Efficiently deploy new services Support different deployment scenarios Build denser networks Ride the innovation wave Improve resource scalability and utilization Deploy networks faster with vRAN and disaggregation Improve cost and energy effectiveness with trunking gains from resource pooling Rapidly scale virtual resources for additional capacity Support lower end-to-end latency Evolve and upgrade components separately Tailor dimensioning and features to suit the use case with 5G private networks Reduce cell-site footprint by relocating disaggregated functions to data centers Build a denser network by accessing more locations with compact installations Place processing and analytics where it is needed Simplify orchestration Broaden the ecosystem for competition Spur innovation with vendor diversity Select best-of-breed network components vRAN 11
  • 12. 12 O-CU-UP O-CU-CP Multi-RAT CU Protocol Stack O-RU: PHY-low/RF O-DU: RLC/MAC/PHY-high + Hardware accelerators RAN Intelligent Controller (RIC) non-Real Time Orchestration and Automation RAN Intelligent Controller (RIC) near-Real Time DevOps Accelerate 5G innovation with modular components and standardized open interfaces O-RAN architecture CU: Central unit; DU: Digital unit; eMBB: Enhanced mobile broadband; NF: Network function; mMTC: Massive machine type communications; O-: ORAN-; RIC: RAN intelligent controller; RU: Radio unit Set the foundation for interoperability by design with standardized open interfaces Drive distributed development and operations (DevOps) with modular network components Build a common platform for public networks and the growing private network market Leverage a broader ecosystem for high-performance 5G with best-in-class functionality Accelerate feature development, problem resolution and product differentiation
  • 13. 13 CU: Central unit; DU: Digital unit; eMBB: Enhanced mobile broadband; NF: Network function; mMTC: Massive machine type communications; O-: ORAN-; RIC: RAN intelligent controller; RU: Radio unit Optimize architecture for application with O-RAN O-RAN offers a comprehensive set of network architectures for different application constraints Application-specific constraints influence network topology Regional cloud Regional cloud Regional cloud Regional cloud Regional cloud Edge cloud Edge cloud Edge cloud O-RAN Physical NF Edge Location E2 Edge cloud Cell site compute Cell site compute O-RAN Physical NF Cell Site O-RAN Physical NF Cell Site O-RAN Physical NF Cell Site O-RAN Physical NF Cell Site F1, E2 Open fronthaul O-RU F1 E2 E2 Near-RT RIC O-CU O-DU O-CU to O-DU O-DU to O-RU Enhanced mobile broadband (eMBB) 625 μs (125 km) 100 μs (20 km) Massive IoT (mMTC) 625 μs (125 km) 100 μs (20 km) URLLC control plane 625 μs (125 km) 100 μs (20 km) URLLC user plane 100 μs (20 km) 13 One-way distance and delay constraints Physical topologies Enhanced mobile broadband and Massive IoT URLLC
  • 14. 14 COTS: Commercial off-the-shelf; O-CU: O-RAN central unit; O-DU: O-RAN distributed unit; O-RU: O-RAN radio unit; QoS: Quality of service; RAT: Radio access technology; RT: Real-time RAN Intelligent Controllers (RIC) unlock new capabilities for the intelligent RAN O-RAN architecture • Robust RAN analytics for wide area networks • Train machine learning models at scale • Enforce intelligent policy control Non-Real Time RIC • Deep learning with fine-resolution data • Drive AI/ML-based performance optimization for complex, interdependent RAN algorithms Near-Real Time RIC • Add RAN Intelligent Controllers to the vRAN COTS platform • Dimension network intelligence with network capacity • Ensure secure access to training data Scale intelligence securely with the network Regional cloud A1 Design Inventory Policy Configuration RAN Intelligent Controller (RIC) non-RT Orchestration and Automation RAN Intelligent Controller (RIC) non-Real Time Edge cloud RAN Intelligent Controller (RIC) near-Real Time Radio connection mgmt. Mobility mgmt. QoS mgmt. Interference mgmt. Trained models Open fronthaul O-RU: PHY-low/RF vO-DU vO-CU F1 E2 O1
  • 15. 15 AAL: Acceleration abstraction layer; NF: Network function; O-Cloud: O-RAN cloud; OFH: Open fronthaul Drive vRAN performance and efficiency with hardware accelerators O-RAN architecture 15 • Abstracted accelerator model fully decouples HW and SW for maximum flexibility with virtualized or containerized network functions • Pass-through accelerator model reduces latency between latency-sensitive or real- time network functions and hardware accelerators Two accelerator deployment models O-Cloud NF AAL Driver NF AAL Driver Backend Accelerator Accelerator Abstracted accelerator model Pass through accelerator model VirtIO SR-IOV Two CPU offload architectures CPU Look-aside HW accelerator for offloading functions selectively F(n-1) F2 Accelerator Abstraction Layer (AAL) Downlink Uplink Inline HW accelerator for offloading functional chains Downlink Uplink F3 F4 Fn F1 CPU AAL F1 F2 F3 F(n-1) Fn
  • 16. 16 F1 FAPI / nFAPI CUS Digital Unit (DU) Digital Unit (DU) COTS: Commercial off-the-shelf; CUS: Control, User and Synchronization plane; L1: Layer 1 - PHY; L2: Layer 2 – MAC and RLC; MAC: Medium access control; nFAPI: Network functional application platform interface; RLC: Radio link control; SWaP: Size, weight and power Reduce DU SWaP with HW-accelerated real-time functions Modularize with nFAPI for L2 on COTS HW and a fully-accelerated inline PHY Optimize physical parameters for PHY layer efficiency with HW accelerators 16 Efficiently handle multiple functions with inline accelerators vCU L2/L1 interface RLC MAC CPU High PHY on CPU F 3 F 4 F n F 1 F (n-1) F 2 Low PHY RF Radio Unit Look-aside hardware PHY acceleration Accelerator Abstraction Layer (AAL) L3/L2 interface Fronthaul interface RLC MAC CPU AAL F (n-1) F 1 Low PHY RF Radio Unit Inline HW PHY acceleration F (n) F 2 vCU L3/L2 interface Fronthaul interface L2/L1 interface Size Weight Power DU without HW acceleration DU with HW acceleration SWaP
  • 17. 17 Source: https://www.idc.com/events/futurescape Digital intelligence in the cloud will drive the enterprise of the future IDC FutureScape: Worldwide Future of Digital Infrastructure 2021 automated digital infrastructure for business resiliency and security 60% cloud-native architectures for core business applications 75% embedded AI functions in their business- critical workloads 55% Intelligent networks Modular network components Hyperscale technologies Edge cloud Hardware accelerators vRAN Enterprises in 2024
  • 18. 18 Reduce end-to-end latency with 5G and MEC for industrial IoT and delay-sensitive applications, e.g. Boundless XR Support multiple services by deploying network and compute resources opportunistically for various latency, throughput and reliability needs DU: Distributed unit; MEC: Multi-access edge compute; PHY: Physical layer; RU: Radio unit; vCore: Virtual core network; vCU: Virtual central unit; vRAN: Virtual radio access network; vUPF: Virtual user plane function Transform industry and enterprise with 5G, vRAN and MEC Increase data security and privacy by keeping data local and physically secure DU RU Core hub Edge data centers Small cell Small cell Backhaul vUPE MEC 5G public network 5G private network vCore Private data sources Secure use of private data RU DU Midhaul vCU Increase availability and scalability • by using common edge compute resources for both vRAN and MEC • by independently scaling resources for control plane and user plane traffic DU RU Core hub Edge data centers Small cell Small cell Backhaul vUPE MEC 5G public network 5G private network vCore Private data sources Secure use of private data Seamless access to public data RU DU Midhaul vCU DU RU Core hub Edge data centers Small cell Small cell Backhaul vUPE MEC 5G public network 5G private network vCore Private data sources Secure use of private data Seamless access to public data RU DU Midhaul vCU DU RU Core hub Edge data centers Small cell Small cell Backhaul vUPE MEC 5G public network 5G private network vCore Private data sources Secure use of private data Seamless access to public data RU DU Midhaul vCU
  • 19. 19 Advance 5G with network slicing Protect end-to-end QoS between services and sandbox new services Tailor network architecture to service-specific latency needs Position resources to suit deployment constraints Build one private network with an on-prem edge for multiple use cases
  • 20. 20 Independent private network scenario UPF On-site edge Integrated private network scenario DU RU CU-UP CU-CP Advance 5G with network slicing Protect end-to-end QoS between services and sandbox new services Tailor network architecture to service-specific latency needs Position resources to suit deployment constraints Build one private network with an on-prem edge for multiple use cases More centralized Lower latency Lowest latency Regional cloud eMBB Massive IoT Centralized scenario Cell sites Local edge eMBB Massive IoT Boundless XR V2X / URLLC Local edge scenario UPF CU-UP DU RU CU-CP CU-UP RU DU CU-UP UPF A scalable and flexible wireless edge eMBB Massive IoT Boundless XR V2X URLLC Industrial IoT DU RU CU-UP CU-CP eMBB Massive IoT Boundless XR Industrial IoT On-site edge UPF
  • 21. Digital twins for predictive maintenance Real-time asset tracking and forecasting Untethered collaboration with low latency Drive new efficiencies and innovation with an integrated 5G private network and edge Cloud 5G network APIs open interfaces with the private edge to facilitate: • Responsive interactivity • Distributed AI • Cloud processing Private network Private edge API: Application programming interface Public edge APIs Firewall CU DU RIC
  • 22. 1 Qualcomm 5G RAN Platforms Building open and innovative cellular infrastructure with high performance Modem-RF System. Qualcomm Radio Unit Platform, and Qualcomm Distributed Unit Platform are products of Qualcomm Technologies, Inc. and/or its subsidiaries. ®
  • 23. High Performance Modem-RF System Flexible, scalable, O-RAN compatible Designed for Macro and Small cells vRAN with hardware acceleration Integrated mmWave & Sub-6 GHz solution with Global band Support Powering the future of the 5G networks 5G RAN Platforms
  • 24. General-purpose COTS hardware Driving transition to Infrastructure 2.0 Powered by extended portfolio of Qualcomm® 5G RAN platforms Internet and 3rd party cloud Edge data centers 10101 10100 01010 11010 10101 10100 01010 11010 10101 10100 01010 11010 Standard-based open RAN interfaces Virtualized software from multiple vendors Qualcomm High-performance Modem-RF System High performance Modem-RF Virtualization with hardware acceleration Flexible, scalable, O-RAN compatible From Macro to Small Cells Integrated Sub-6 and mmWave solution 5G RAN Platforms Radio Unit Platform Distributed Platform Radio Unit Platform
  • 25. Follow us on: For more information, visit us at: www.qualcomm.com & www.qualcomm.com/blog Thank you Nothing in these materials is an offer to sell any of the components or devices referenced herein. ©2018-2021 Qualcomm Technologies, Inc. and/or its affiliated companies. All Rights Reserved. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated. Other products and brand names may be trademarks or registered trademarks of their respective owners. References in this presentation to “Qualcomm” may mean Qualcomm Incorporated, Qualcomm Technologies, Inc., and/or other subsidiaries or business units within the Qualcomm corporate structure, as applicable. Qualcomm Incorporated includes our licensing business, QTL, and the vast majority of our patent portfolio. Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, operates, along with its subsidiaries, substantially all of our engineering, research and development functions, and substantially all of our products and services businesses, including our QCT semiconductor business.