The Fifth Generation Mobile Communications Promotion Forum(5GMF)

Networking Technologies for5G
Network Architecture Committee
5GMF

AWG-18
Kyoto, Japan
9 Mar. 2015
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Contents
1.

Mission of the network architecture committee

2.

Market trends

3.

Scenarios towards 5G

4.

Network requirements and the relevant
component technologies

5.

Comprehensive architecture of 5G mobilenetworks

6.

Technology roadmap toward 5G mobile networks

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1.Mission of the networkarchitecture committee

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Organizational Structure of the 5GMF

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Network architecture committee
Network Architecture Committee
Chairman
Akihiro Nakao, Tokyo Univ.

Acting chairman
Ryutaro Kawamura, NTTMission
 Study overall network architecture for 5G mobile
 Study requirements and technologies for network infrastructure
Deliverable
 Networking technology roadmap
 White paper detailing on networking technology for 5G
Strategy Working GroupChair
Ryutaro Kawamura, NTT
AWG-18, Kyoto, JapanThe working group for facilitating discussions

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2.Market trends

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Potential applications enabled by 5G
Applications enabled by 5G (in blue area)

QualityofUser Experience

Online trading

Telemedicine(Reliability,Low latency)

Autonomous
driving

Computer-supported
cooperative work
Augmented/Virtual
reality

Infrastructure
surveillance
4K/8K live streaming
for public sports viewing
Sensor-assisted
rehabilitation

Applications deliveredby existing technologies(in white area)

Dynamic
hot-spot services

Quantity of Data

(Peak data rate, Number of devices)

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3.Scenarios towards 5G
Based on pre-studies on
future mobile networking by
the Telecommunication Technology Committee (TTC) in Japan

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Technological issues to consider
 Increase of data traffic on mobile communications
 Expanding coverage
 Enlarging user throughput
 Increasing capacity
 Accommodating large traffic fluctuation

Coverage expansion
in the isolated area••around 10Gpbs at peak
100 to 1,000Mbps at any given time

Larger capacity
in the Extreme area

Requirements for future mobile communications(User density and throughput)

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Technological issues to consider
Load increase in C-plane Advancement of diversified types of service such as IoT/M2M

Ultra low latency
 Provision of new services requiring real-time performance•

Real-time control for tactile communication, AR, M2M

Ultra energy(electric power) saving
 Expansion of the number of links, equipment and capacity

Ultra large-scale disaster/congestion/failure
resilience Responsibility of mobile networks as social infrastructure: needs forresilience, recovery, promptness etc.
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Proposal for introduction of 5G
The network side will need the capability to efficiently
accommodate a greater variety of traffic and connect witha wide variety and huge number of M2M/IoT terminals.
Core NW: a new network architecture based on SDN/NFVtechnologies to efficiently accommodate multiple
services and requirements.
Mobile front/backhaul: the appropriate layout of function
for ultra large capacity as well as the enhancement oftransmission technologies.
NW management: new SDN/NFV and virtualization
technologies for scalable and flexible network
management to deal with short-service life cycles.
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4. Network requirements and therelevant component technologies
Based on pre-studies on
future mobile networking bythe Telecommunication Technology Committee (TTC) in Japan

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Requirements for 5G Network
5G networks will support various services including IoT/M2M, and willhandle various types of traffic.
Requirements for 5G networks
traffic
characteristics

Related network capability

traffic volume

low～high

transport capability

burstinesshighly bursty～non bursty

signaling capability

traffic variation-flat rate
-depending on time

dynamic resource allocation

latency

ms～ , N/A

placement of network functions(e.g. Mobile edge computing)scalability

number ofdevices

devicecharacteristics

mobilitytransport capability, signaling
capability
fixed, mobile (～500km/h)

powerconsumption

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network architecture (e.g.
multiple RATs)

Mobile network structure
Area structure breakdown in mobile network:
Core network, Mobile backhaul(MBH) and Mobile fronthaul(MFH)
PGW

Core network

MME, PCRF, HSS, etc.
SGW
SGW
RH
BBU

Mobile backhaul(MBH)

Logical path
BBU
RH

Mobile fronthaul(MFH)

OSS/BSS

RH
BBU

Macro cells

Small cells

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PGW

RRH

RRH

RRH

UE

UE

UE

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MME : Mobility Management Entity
PCRF : Policy and Charging Rules Function
HSS : Home Subscriber Server
PGW : Packet data network gateway
SGW : Serving gateway
BBU : Base band unit
RH : Radio head
RRH : Remote radio head
OSS : Operation Support System
BSS : Business Support System

Relevant component technologies
 Mapping of relevant component technologies to resolve technical issues(Summary)
IssuesCore network
systemtechnologies

Ultra large capacity U-plane
Load increase in C-plane✓

Ultra low latency✓Ultra large scale disaster/congestion/failure resilience
Various types of terminal/ traffic/
operators and NW mgt.

✓Inter-working with other RATs

✓Issues on transport layer✓SDNtechnologiesNFVtechnologies

✓

✓

✓

✓

✓

✓✓

✓
✓

✓ relevant component technologies to resolve technical issues

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Relevant component technologies
 Mobile backhaul
IssuesUltralarge
capacity
U-planeN-times
extension
Cost increase

New technologies
Frame
processing

Space divisionmultiplexing

Wave length
multiplexing✓✓

NW powersaving✓✓

Ultra low latency
UltrapowersavingPower
consumption
increase by Ntimes✓✓✓

Wasted power

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optimization✓16/32✓

Relevant component technologies
 Mobile fronthaulIssuesUltraN-times
extensionlarge
capacity
Cost
U-planeincrease
Ultra low latency
Ultra power saving
Ultra large scaledisaster/congestion/failure
resiliences

AWG-18, Kyoto, JapanC-RAN
transmission

Datacompression

✓

✓

✓

✓

TDMPONSpaceWavele
Modulat divisionngthionmultiple multiple
xingxing

✓
✓

✓

NW
powersaving

✓

✓✓

✓

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5.Comprehensive architectureof 5G mobile networks

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Network Softwarization view of 5G mobile
Goal : End-to-End Quality and Extreme Flexibility to Accommodate Various Applications

Applications & Services with various requirements (M2M/IoT, Content delivery, Tactile)
App-Driven API

API

Virtualized networks/platform

Slice Control

UE/Device

Radio access network (RAN)

CloudMobile packet core

Networkmanagementandorchestration

Slice A
Slice B
Slice C
Physical infrastructure (network, computing and storage resources)

Computation and storage resources

UE/Device
RAT(s)

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Network resources
MFH
MBH

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Transport

Data CentersNetwork Softwarization view of 5G mobile
Goal : End-to-End Quality and Extreme Flexibility to Accommodate Various Applications

Applications & Services with various requirements (M2M/IoT, Content delivery, Tactile)
App-Driven API

API

Virtualized networks/platform

ManagementOrchestration

Slice Control

UE/Device

Radio access network (RAN)

Cloud

Mobile packet core

Networkmanagement
andorchestration

Slice A
Slice B
Slice C
Network
Softwarization
Physical infrastructure (network, computing and storage resources)

Computation and storage resources

UE/Device
Mobile Edge
Computing

RAT(s)

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Network resources
MFH
MBH

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Transport

Data Centers
Fronthaul
Backhaul

E2E Delay Breakdown
Upwards
Downwards

User Equipment

Mobile NetworkServer

Application(Incl. Sensors)

Control (MME, PCRF, etc)

Application⑪①Radio IF⑥④Platform

RRH

⑧BBU

S-GW

⑩P-GW

Platform②Network IF③Radio IF

RRH (Remote Radio Head)BBU (Base Band Unit)
S-GW (Serving Gateway)
P-GW (Packet Data Network Gateway)

MFH

MFH (Mobile FrontHaul)
MBH (Mobile BackHaul)
MME (Mobility Management Entity)
PCRF (Policy and Charging Rule Function)

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⑨⑦

⑤MBH

Transport

Inter-Domain Network②＋③＋④＋⑤<= 1ms （Oneway）
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Description of each segment①UE Processing Delay②Air Interface Delay③RRH Processing Delay④Fronthaul Transmission Delay⑤BBU Processing Delay⑥Backhaul Transmission Delay⑦S-GW Processing Delay⑧Transport Network Delay⑨P-GW Processing Delay⑩Inter-Domain Network Delay⑪Server Processing Delay
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6.Technology roadmap toward
5G mobile networks

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Technology roadmap: Focus Area
Requirements End-to-end Quality of 5G Applications
Extreme Flexibility

Latency

Data rate

Number of Devices

Technology Focus Areas
Network Softwarization

Management / Orchestration

Deep Programmability

Automation
Autonomy

Application Driven

Ultra Low
LatencyMulti-Tenancy

Data Isolation

Analytics
Knowledge
Edge Security

Mobile Edge Computing

Fronthaul / Backhaul
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Technology roadmap: Timeline
Network Softwarization
SDN/NFV platform

Elastic networks
Advanced
Self-Organizing NWManagement / Orchestration
Autonomous control forspecific use cases

Deeply programmablenetworks
Application driven
optimization
Massive device
management

Intelligent management
platform

Fronthaul / Backhaul
QoS Classifying/Slicing

Mobile Edge Computing
Delivery algorithm
using MEC

2018
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Application oriented
dynamic control

Economization ofdistribution networks

Application support
by use of edge
computing

2020
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Latency optimization
for delay-sensitive
applications

2022

Detailed topics in each focus areaNetwork Softwarization

Extremely flexible networks that support e2e services withdiversified requirements
1) Management and orchestration for intelligent mobilenetworks

Management / Orchestration

2) Application driven network control and management
3) Management evolution for application handlings in 5Gnetworks
1) QoS classify/slicing using virtualization technologies for highdensity transmission

Fronthaul / Backhaul2) Dynamic control of NW resources and path optimizationaccording to applications and traffic amount
3) Economization and low latency using PON technologies
Downsizing and cost reduction of optical devices

Mobile Edge ComputingAWG-18, Kyoto, Japan

Support of delay-sensitive services & applications

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Network Softwarization
Scope
Extremely flexible networks that support
e2e services with diversified requirements

E2E Quality of Applications & Services
Extreme Flexibility

Challenges

NW Functions

Softwarization

Approaches
1. Facilitate softwarization by abstraction andProgrammable API definitions
2. Achieve simplified workflows to allow prompt
delivery of services
3. Design scalable management architectures
to avoid complex data management

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Management &Orchestration

 Allow combinations of any network functions(e.g., Access, MFH/MBH, transport andothers) Optimize CAPEX with prompt delivery of newservices.
 Reduced OPEX with scalable operation.

SlicesUE/Device

ComputingStorage

DataCenterBackhaul

Transport

Access Fronthaul

Physical Resources

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1) Management and Orchestration
for Intelligent mobile network
Scope
Comprehensive management and orchestration
for intelligent network driving

Service Applications
Policyon demand

Challenges
 Flexible, scalable and dynamic network building Capability and suitable QoE provision for diverse

Virtual Network
Slicesservice requirements
 Autonomous network organization with intelligence

Infrastructure & Resources

Approaches
 Organization and optimization of the virtual network

slices and network resources
 Capability of demand based policy execution
 Deep learning with autonomous analysis

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Software controlled Network domain

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Device Environments

NetworkManagement&Orchestration

Cyclic Learning
Monitoring& Analysis

2) Application driven network control and management
Scope

Applications
End UserServices

Application-driven and programmable network

Challenges
On demand application-driven configuration
Data processing network for MTC/IoT

Customized
NetworkServices

Service IFs
End User Service IF、 NW Service IF、 NW Management IF

Complex virtual network management
End-to-end experience quality management

Approaches
 User service, network customization, andnetwork management APIs for configuration
 Dynamic slice network management for
multi-layer and multi-domain mobile network
 Programmable and Scalable OAM forcomplex virtual network and hugemanagement data Real-time E2E quality monitoring, analysis,visualization and control for application

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Network
Management
ServicesManagement
NetworkServices
Layer

Virtual
Networking
Layer

NW Service Slice #1- - - MEC
Mobility Control

Slice Managementfor Multi-layer/
Multi-domain
Virtual Resource

Slice Isolation/
Function Embedding

Programmable/
Scalable NW
ManagementMTC/IoTRAN Fronthaul
PhysicalInfrastructure
Backhaul Backbone

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Real-time E2E
QoE Monitoring3) Management evolution for application
handlings in 5G networks
Scope

Personal identification (B, b)

Realization of intelligence management scheme
to handle 2020 period applicationsA) Manage over 50 billion services and devices
on networks with short delay and per-service
information isolation.
B) Identify personals (e.g. organization, human,device) as network function.
C) Non-contract based network for practical useof wired/wireless resources.

PhysicalChallenges

Human
Flexibleaccounting(C, c)

Service aware device
management (A, a)
An operator manages all devices.

VirtualApproaches

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Organizations

Wired/WirelessResources

Mapped• Research target (example)
a. Service aware device management
b. Personal identificationc. Flexible accounting• Based on 5G characteristics.
(e.g. Virtualization, Softwarization)

Terminals

VirtualNetworks

Accounting forused resources
by a personal.

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Sync andDivision

A provider manages only
devices for a service todecrease delays.

Mobile fronthaul and backhaul
Scope

Dynamic resource control and QoS slicing tosupport diverse applications usingvirtualization and economization technologies

Challenges- High density transmission systems- Support for multiple generations RATs
- Realization of E2E QoS and Multi-tenancy
service- Low latency access- Low power consumption, low cost systems

ApproachesCore Network
GW

4G-LTE
Mobilebackhaul(MBH)

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BBU
RH

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5GBBU
RH

5GBBU
RH

Mobilefronthaul(MFH)

1) QoS classify/slicing using virtualization
technologies for high density transmission
2) Dynamic control of NW resources and path
optimization according to applications andtraffic amount
3) Economization and low latency using PON
technologies
Downsizing and cost reduction of optical devices

5GLogicalmesh path

Macro cell

1）2）Logical PtoP

RRH

RRH

Small cell
RRH

UE(4G)3）

RRH

UE(5G)

Mobile edge computing
Scope
Support of delay-sensitive services &applications

Advanced 5G application

Augmented/
virtual reality

Challenges

4K/8K live streaming
for public sports viewing

 To deliver high quality contents in time
for better user experiences
 To achieve end-to-end ultra-lowlatency to satisfy critical delay
requirementsRATRAT

Edge CloudApproaches
 Information centric networks for intime delivery of contents
 Use of local facilities: computing andstorage resources in edge cloud Intelligent network control for delay
minimization.
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Autonomous
driving

Telemedicine

Information
CentricNetwork

CONTENTID MappingRegistry

CONTENT

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