5G Transport Network

NG Fronthaul Network Requirements and Architecture
Tony Tam – Fujitsu Network Communications
Peter K. Cho – Actus Networks/HFR, Inc
Compliance with IEEE Standards
Policies and Procedures
Subclause 5.2.1 of the IEEE-SA Standards Board Bylaws states, "While participating in
IEEE standards development activities, all participants...shall act in accordance with all
applicable laws (nation-based and international), the IEEE Code of Ethics, and with
IEEE Standards policies and procedures."
The contributor acknowledges and accepts that this contribution is subject to
•
The IEEE Standards copyright policy as stated in the IEEE-SA Standards Board Bylaws,
section 7, http://standards.ieee.org/develop/policies/bylaws/sect6-7.html#7, and the IEEESA Standards Board Operations Manual, section 6.1,
http://standards.ieee.org/develop/policies/opman/sect6.html
•
The IEEE Standards patent policy as stated in the IEEE-SA Standards Board Bylaws, section 6,
http://standards.ieee.org/guides/bylaws/sect6-7.html#6, and the IEEE-SA Standards Board
Operations Manual, section 6.3, http://standards.ieee.org/develop/policies/opman/sect6.html
2
IEEE 1914
Next Generation Fronthaul Interface
Jingri Huang, [email protected]
NGFI Network Requirements and Architecture
Date: 2016-08-22 – 2016-08-24
Author(s):
Name
Affiliation
Tony Tam
Fujitsu Network
Communications
Peter Cho
Actus Networks/HFR Inc.
Phone [optional]
Email [optional]
[email protected]
om
choho@actusnetworks
.com
Agenda
 5G RAN Requirements and Network Architecture
 NG Fronthaul Requirements and Network Architecture
 Radio over Ethernet
4
5G Network Requirements
CAPEX
Revenue
OPEX
IMT 2020 5G Vision and Requirements
White Paper May 2014
5
5G RAN Network
Bullet Train
Highly Reliable
QoE
6
5G RAN Network – Network Slicing
7
NG Fronthaul Key Requirements
China Mobile NGFI Workshop June 2015
 Transport Efficiency and Scalability
 Decouple MIMO Traffic bandwidth
Massive MIMO processed at RRH to reduce transport
 Traffic Load Adaptation – Dynamic Transport Bandwidth adaptive to User Traffic Load
 Statistical Multiplexing – Tidal effect over large scale of RRHs
 RAN Network Efficiency
 Centralize RAN Coordination Functions as much as possible
Tradeoff between Transport and RAN efficiency
 RAN Networking and Virtualization
 Dynamic Networking – Mesh Network, Load Balancing and vBBU switching
 RAN Interface Agnostic
 Support CPRI and Radio over Ethernet (NGFI Packet, RF over Packet)
8
Transport and RAN KPI Tradeoff –
4G LTE
Symmetric Split Cases
20M LTE Carrier, 2 interface, 8x8MIMO, 100 Users
98309830
Mbps
10000
Transport Efficiency
8000
6000
4000
2689
2000
0
180 109
Method 1
1
464.6
225112.5 125.2
Method 2
Method 3
Down Link
498
Method 4
Up Link
0.5
Delay (Magnitude,
ms)
0
Low Delay
& Jitter
High Time
Sync. Accuracy
RRH
UE Processing, related to traffic Level
UE Processing, MIMO related
Potential Choices
RAN Efficiency
Coordination
Method 1
Method 2
Down Link
CS/CB
CS/CB
CS/CB
CS/CB
Cell Processing, unrelated to traffic level
Up Link
China Mobile NGFI Workshop, June 4, 2015
Method 5
Method 3
Method 4
CS/CB, Noncoherent JT
CS/CB, JT
CS/CB, Soft
Information JR CS/CB, JR
9
Method 5
CS/CB, JT
CS/CB, JR
5G Transport and RAN KPI Tradeoff
Dimensioning
TBD
10
5G Transport Network - UDN

Fiber Rich within 1 km²

vBBUs locally to cap FH capacity locally

Easier to meet 5G RAN KPIs

Packet DAS option

Less Constraint on Transport Network Topology

Transport Layers depending on Traffic Load
Bullet Train
Highly Reliable
QoE
cBBU
vBBU
Aggregation
RRUs
1km vBBU
Packet
WDM
11
5G Transport Network – Low Latency

vBBU at C-BBU site (FH Fiber 100us latency) meet E-2E 1ms latency

Overlay over C-RAN topology with 5G RRU densification

Transport Network Topology limited by Fiber Routes

Transport Layers depending on Traffic Load
1
Bullet Train
Highly Reliable
QoE
cBBU
vBBU
Aggregation
RRUs
Packet
WDM
12
5G Transport Network – Dense M2M Network

vBBU may be locally due to dense devices & smaller cells

IoT Gateways needed to aggregate dense IoT devices to RRU

Transport Network Topology may be limited by Fiber Routes

Transport Layers depending on Traffic Load
Bullet Train
QoE
Highly Reliable
cBBU
vBBU
Aggregation
RRUs
IoT GW
vBBU
vBBU
Packet
WDM
13
5G Transport Network – 500+km/hour

5G network as WiFi backhaul

mmWave frequency

Backhaul for high speed train and Broadband service

1G to 10Gbps Backhaul speed
Bullet Train
Highly Reliable
QoE
•
•
1G-10Gbps backhaul
WiFi Service
14
5G Transport Network – Highly Reliable

Redundant vBBUs are the Norm

Ring or Redundant Paths at the core Fronthaul network

RRU-vBBU Switching
Bullet Train
QoE
Highly Reliable

Dual Node Interworking across two Rings at the optical layer

Multi-Chassis LAG across two Rings at the packet layer

Sub-50ms protection at the Optical Layer

Sub-50ms protection at the Packet Layer
vBBU
cBBU
vBBU
Aggregation
RRUs
Packet
WDM
15
5G Transport Network – QoE
 Massive Network MIMO raises the throughput effectively
 Massive MIMO on the RRU can be distributed to achieve it
 Similar to Outdoor Packet DAS Model
 Digital RF over Ethernet from Distributed Antenna to RRU
Bullet Train
QoE
Highly Reliable
cBBU
vBBU
Aggregatio
RRUs
Distributed
Antenna
vBBU
Packet
WDM
16
5G Transport Network – Network Slicing
 Radio Frames ID visibility under SON Server Guidance
 Slices are assigned to V-LANs and Groups
 Each Slice can traverse different FH path
Ethernet
BH
RoE
FH
 Each Slice can traverse different BH path
vBBU
 Protection Switching based on Each Slice
User/App ID
Resource Blocks
Scheduler
User/App ID
V-LANs
Scheduler
User/App ID
RoE ID/V-LANs
Scheduler
17
vEPC
V-RAN
 New Gen. RRU and BBU will support L1 to L3 functional split options symmetrically &
asymmetrical upon demand
 RRU may home to different vBBU and some RRU may be shutdown during off hour
especially indoor
 Fronthaul Network will adapt to topology change and bandwidth demand dynamically upon
SDN control
SON
Server
SDN
SDN
VIrtuora
Controller
Programmable
Functional Split
Asymmetric
L3
ProgrammableL2
Fronthaul
U-plane
Network
L2
Programmable
Scheduling
Functional Split
Fronthaul L1
Asymmetric Network
Phy
L1
RRUs
vBBU
FFT
FR
Software Defined Radio
Disaggregated/Virtualized
RAN
vPGW-C
vMME
vSGW
Disaggregated/Virtualized
EPC
vPGW-D
Content
Caching
Mobile Edge
Services
MME
PCRF
EPC Control
Functions
18
PGW
Centralized
EPC
Radio over Ethernet




From TDM to Statistical Multiplexing
–
Agnostic to Air I/F Technology
–
Low Delay & Jitter
–
Higher Time Sync Accuracy
–
(1588v2 ns time accuracy)
–
IEEE 8021.CM Profiles based on the following standards
–
IEEE or MEF 5G
Ethernet
Certification
(TBD)
UE Data
UE Data
C&M
UE Data
C&M
C&M Synchronization
Synchronization
Frames
Synchronization
Frames
Frames
CPRIoE Framer/Mapper
RFoE
RoE
Architecture & Requirements Now merged into IEEE 1914
RRH/BBU Partitioning Analysis
IEEE 1914
NGFI
802.1ASbt Precise Timing Protocol Gen 2 (gPTP Gen 2)
802.1Qbu Preemption (collaborating w/ 802.3br Interspersing
Express Traffic)
802.1Qbv Time Aware Shaper (TAS) ─ Scheduled Traffic
802.1Qca Shortest Path Control & Reservations
802.1CB Frame Replication & Elimination
802.1Qcc Stream Reservation Protocol Gen 1.1
High Time Sync Accuracy
Time Sensitive Networking
IEEE 802.1CM Profile for RoE
Fujitsu Proprietary and Confidential All Rights Reserved, ©2015 Fujitsu Network
19
Communications