5G Vision and Key Access and Networking Technologies

5G Vision and Key Access and Networking Technologies

Huawei Technologies, Canada Ltd.

Contact: gamini.senarath@huawei.com

WINLAB Fall 2015 Conference

Dec. 03-04, 2015

NJ, USA

Huawei proprietary

Global Talents Focusing on 5G Research

500+ 5G Experts

Stockholm

Ottawa

New Jersey

Paris

 Munich Moscow

Shanghai

Chengdu

Shenzhen

9 5G Research Centers

Stockholm, Sweden

• System Architecture

• Algorithms

 Munich, Germany

• Verticals

Paris, France

• Standardization

Moscow, Russia

• Fundamental

Algorithms

New Jersey, USA

• 5G Transmission

 Ottawa, Canada

• 5G Radio

• Network Architecture

5G Research Centers in China

• Shen zhen

• Shang hai

• Cheng du

Contents

5G Vision

Air Interface technologies for 5G

Networking Technologies for 5G

Current 5G related standard activities

Huawei proprietary Page 3

5G Vision

Huawei proprietary Page 4

Today's Long Tail, Tomorrow's Dominant Field

5G will enable new applications , new business models , and even new industries

Traffic

/Revenue

Video

Web

10Gbps

Throughput

1ms

Latency

1 Million

Voice Vehicular

Telematics

Massive IoT

AR/VR

MirrorSys High Speed

Railway

Teleoperation

Connections/km 2

……

Use Cases

Body Today's Long Tail

Huawei proprietary Page 5

Diversified Challenges and Gaps to Reach 5G

Latency

1

ms

E2E

Latency

Throughput Connections

10G

bps

Per

Connection

1,000K

Connections

Per km 2

Mobility

500

km/h

High-speed

Railway

Network

Architecture

Slicing

Ability

Required

30~50x

30~50ms

100x

100Mbps

100x

10K

Huawei proprietary

1.5x

350Km/h

NFV/SDN

Inflexible

Page 6

5G Will Carry Many Industries and Benefit Stakeholders

Enhance Mobile

Internet

Empower

Internet of Things

7

Customers (Verticals es &

Other Network Providers )

• Easy access to the common infrastructure of 5G

• Real-time, on-demand service

Network

Providers

• Easy deployment & maintenance

• Flexibility for multiple industries (SLICING)

Infrastructure

Providers

• Combine infrastructure to form one infrastructure for network providers

End User groups

• Ubiquitous consistent experience

• New services

5G Innovations Will be Applied to 4G to Leverage 4G

Investment

2014 2015 2016

 …  R12  R13  R14

 5G innovations will be applied to

4G

5G

2017

 R15

 4

G

 4G will simulate the emergence of new applications for

5G

4.5G

2018

 R16

2019

 …

 Revolution

 Evolution

Huawei proprietary Page 8

Key Concerns for Reaching 5G

Spectrum

Aggregate All

Available Bands

New Network

Architecture

One Physical Network

Multiple Industries

Huawei proprietary

New Air Interface

Flexibility &

Spectrum Efficiency

Page 9

5G Will Aggregate Sub 6GHz and the Bands >6GHz

WRC15

Requirement >500MHz for IMT-2020

WRC19

45GHz available for future Cellular Access and Self-Backhaul

Cellular

Bands

Visible

Light

1 2 3 4 5 6 10

5G Primary bands

20 30 40 50 60 70 80 90 100

GHz

5G Complementary Bands for Capacity, 45GHz available

Huawei proprietary Page 10

Access Technologies

Huawei proprietary Page 11

5G: A Single UAI targeting Diverse Requirements

Diverse

Applications

Voice Web Video Verticals……

UAI

(Unified Air Interface) to meet the diverse requirements

Diverse

QoE

Diverse

Adoption

Data Rate Latency Connections Battery Life Outdoor/ indoor

Wide/Deep coverage

Low/High band

Wide/Narrow

Bandwidth

Page 12 Huawei proprietary

New Air Interface

Full Duplex Massive MIMO

Mobile Internet

Adaptive

Air Interface

Internet of Things

SCMA Polar Code

F-OFDM

SCMA: Sparse Code Multiple Access

F-OFDM: Filtered OFDM

One air interface fits many

applications with high flexibility, at least a

3x spectrum efficiency improvement

Page 13

UCNC - UE Centric No Cell Radio Access

Cell centric cellular to UE centric no cell C-RAN based UE centric TP Optimization

D2D enabled UE Cooperation

Abstraction of the UE radio access with virtualized the cell concept to enable RAN slicing by

 Decoupling the UE from physical cell-site

Decoupling DL/UL

 Decoupling Control/Data

Decouple physical topology with services

 New UE and network transmit node association mechanism enabled by “Hyper cell ID” and “Dedicated

UE connection ID”

 CRAN and D2D enabled UE centric transmission point

(TP) cooperation and device cooperation to eliminate

“cell edge”

 New UE states support massive connected devices with low signaling overhead and energy consumption

 Seamless mobility transparent to UE with simplified procedural and reduced latency

Huawei proprietary

Potential Technologies to Meet ITU Requirements

New waveform e.g. f-OFDM

Wider Bandwidth

Adaptive frame structure

Non-Orthogonal Multiple Access, e.g. SCMA

UCNC

Massive MIMO

Polar Code eMBB

Enhanced Mobile

Broadband

Grant-free multiple access

Narrow band SCMA

Asynchronous (TA-free) Transmit

UE dedicated connection ID

Polar Code for small packet mMTC

Massive Machine Type

Communications

Future IMT

Shorter TTI

SCMA based grant-free Tx

Fast system re-entry scheme

ACK/NACK less re-transmission

UE cooperation diversity

New data notification methods

Polar Code uMTC

Ultra-reliable and Low-latency

Communications

Huawei proprietary

Networking Technologies

Page 16 Huawei proprietary

Challenges for 3G/4G Wireless Networks

5G 3G/4G

1.

Infinite types of services/applications with huge disparate QoE/QoS requirements are emerging

1.

One-fit-all user plane architecture not optimal

Different service requires different mobility management, charging policy, authentication, etc

2.

MME, RRC, PCRF, etc only optimized for individual mobile services

2.

Operation of network should be optimized for different vertical services

3.

Openness of future networks – service customized functions, other

3.

Closed model in 3G/4G than network functions

4.

Integration of eMBB/mMTC/uMTC

Huawei proprietary

4. By nature, 3G/4G optimized for personal communications

Page 17

Technology Requirement for 5G Wireless Network

Customization

Cooperation

Integration

(Service/Infrastructure)

Future Proof

NFV and SDN

Automation

Simplicity

E2E Network Slicing Model

Huawei proprietary Page 18

Business Model for VN Service Slice

End User

Population

(Customer 1)

End User

Population

(Customer 2)

VN Customer 1

Slice

VN Customer 2

Slice

Infra-structure Abstraction

Also called VNO (VN operator)

Network

Provider A

Network

Provider B

Control + Resources

Or

Connectivity service

(Dynamic or static)

Infra-structure

Provider C

Infra-structure

Provider A

Access Points

VN Customer has an end user

(device) population

MTC (Alarm, Sensor company)

Video distribution company

 Police, Fire

 E-health monitoring service

Network Provider  Telecom

Connectivity Service Provider

(TCSP)

Infra-structure Provider (InP)

 Own or borrow resources from InPs.

 Service Provider A may own infrastructure Y

Provide resources and controlling technology with Phy abstractions

 Dynamic or static

 Provide connectivity service in specific geographical area

TCSP Offers an E2E Service Slice to the Customer

Huawei proprietary

Service Customized Virtual Networks (SCVN)

Edge network segment

• hard slicing

Central network segment

• soft slicing

3G/4G network

• a network slice

8888

8888

8888 eMBB slice

D2D slice

eMTC slice

cMTC slice

Other slices (common or

4G slice)

5G Key L1

Enabling

Technologies

20

Physical

DC

D-RAN C-RAN

DC DC

@

GWNI

Compose Network Slices

(Independent, Isolated, E2E)

Slice-1

Network Slicing Technologies

(Examples)

Slice-2

1. Dynamic integer programming

Slice-4

Slice-3 algorithm for fast network topology generation

2. Minimum perturbation reoptimization linear programming algorithm

Drastically Reduce the Dependence of

Network Functions

21

Slice Orchestration, Management and Creation

 Service Request by VN operator (with Service attributes)

 E.g., service function chain, Transport and Traffic distribution (time and space)

 Admission Control ( VNAC )

 Creation of a Slice instance ( Software Defined Topology – SDT )

 Only Virtual Topology with instantiated VNFs

 Network with reserved resources may allocate physical resources

 Slice Operation ( Software Defined Radio Resource Allocation –

SDRA)

 Traffic engineering , monitoring, policing, charging etc.

 Slice Termination

Huawei proprietary

Slice Orchestration, Management and Creation

Network Provider 2

Network Provider 1

Network Provider

Information

Database

(Public)

OSS/BSS

Global Customer

Service Mgmt (CSM)

Orchestrator/SONAC

SDRA

- VNAC

SDT SDP

VNFM VIM

Customer

(e.g. A vertical service operator)

CSM

Slice

A

Connectivity service provided by Slice A

Connectivity service provided by Slice B

Common Control functions

(network controlled)

Slice Specific control functions

(network or customer controlled)

Slice specific user plane functions (network or customer controlled)

Infrastructure

VNFs

Control Functions (customer controlled) User Plane Functions (customer controlled)

Control Functions (network controlled)

Huawei proprietary

User Plane Functions (network controlled) e.g. Per user

Virtual SGW

Per service Virtual

SGW

Slice Orchestration, Management and Creation

A service slice is specifically prepared for the customer by slicing the network, i.e., by creating a Network Slice. Several options:

 Use existing matching network slice descriptor

- E.g. Another operator requests a eMBB slice. It is created using existing eMBB description.

 Introduce a new network slice descriptor to create a network slice instance

- E.g. Vertical service operator requests a new service (e.g. CDN). It is created using customized network slice descriptor.

 Integrate into an existing network slice instance, e.g. using same resources, e.g.:

Another MTC operator requests a similar MTC service

An operator already having a network slice requests another service using the same resource pool

Huawei proprietary

SONAC

(Service Oriented Network-Slice Auto-Creator) - Example

U1

Service level Graph

QoE/QoS requirement

Customer Service Description/requirement

U2

VNAC

+SDT

SDRA

Logical topology mapping to physical network resource

SDP

End-to-end transport protocol design

VN graph

U1

V-u-SGW (U1) F1 V-u-SGW (U2)

Forwarding graph description; link description

VN logical topology (placement of v-s-SGWs in infrastructure)

U1

WN infrastructure (resource pool)

VN physical topology

U1

VN with customized protocol

U1

U2

U2

U2

Transport protocol defined by SDP

U2

25

Required Network Technology Components

VN Admission/service negotiation:

Different customer would have different demand distributions in time and space

– How to get multiplexing gain

– Different services needed different amount of resources based on QoS and geographical distribution

– How the charging is done for a customer having a large number of users with different services

When customer request multiple slices using same resources how to make the admission decision

Software Defined Topology (Virtual if resources are not reserved)

– Optimal placement of the Service Functions? Virtual Topology Placement depend son traffic, mobility.

• Fast moving user can have its SGW much inside the network while slow moving user can have its SGW close to edge. Similarly caching functions.

– For a hard slice or resource reserved slice physical topology also established.

E.g., MTC type of services aggregation points, message filtering, Customer functions , should be

26 Page 26 strategically placed.

Required Network Technology Components

Traffic Engineering (TE)

Slice Specific TE does dynamic resource allocation to slices and sessions. Per slice KPI and QoE guarantees are needed.

27

– If resource sharing is done, Global traffic engineering is required across the slices

Depending on traffic load, invokes a resource coordination function for local areas, take action to control traffic or trigger for service re-negotiation

– QoE Guarantee – using user’s feedback or action monitoring, QoS to QoE mapping tables are stored (per user based, per group based, per application based) to deliver required QoS

Access schemes for massive MTC and efficient short packet delivery

Customer Service management, Connectivity Management, Caching and

Pre-fetching, Context Management

– Imbalance between Demand vs Revenue prediction curves (e.g., Demand based charging , User in the loop )

Per user and per service/slice based mobility handling/tracking

– Per slice based content distribution and caching and pre-fetching based on per user/group

Context data analytics/storage and using them for efficient service delivery and for 3 rd party usage

5G forums and standardization activities

Huawei proprietary

Important 5G related Standard Activities

Industry : NGMN, 5GPPP, METIS II, FANTASTIC 5G, mmMAGIC,

5GXhaul, 5G-EX

Standards: ETSI /NFV , 3GPP (SA1, SA2 and SA5)

Current/recent activities in NGMN

– White paper on 5G issued in January, 2015

• (a) 5G vision; (b) 5G requirements; (c) 5G Architecture concepts; (d) Spectrum considerations;

• Basis for many other 5G standard organization activities

Currently four work streams under Project P1

• WS1-Architecture, WS2-Verticals, (3) WS3-Requirements for better MBB and Telco services and, (4) WS4- Interacts with standard development organizations.

• WS1Further work under 3 groups:

• E2e Architecture – currently discuss definition of the SLICE

• Network and Service Management

• Security

Huawei proprietary Page 29

Important 5G related Standard Activities

Current/recent activities in 3GPP

SA1 – Services

• Discussed 5G use cases and categorized them into 4 main areas

− Enhanced Mobile Broadband (eMBB): higher capacity; enhanced connectivity; higher user mobility.

− Critical Communications (CriC): higher reliability with lower latency; higher reliability and higher availability with lower latency; very low latency; higher accuracy positioning.

− Massive Internet of Things (mIoT): high connection density; low complexity; low power consumption.

− Network Operations (NEO): flexible functions and new value creation; migration and interworking; optimizations and enhancements.

SA2 – Architecture: Currently discusses the following

- Key NextGen Architecture Requirements

- Key Technical Areas and Key issues that need to be addressed

Huawei proprietary Page 30

5G Timeline (Release 14 and onwards)

2010 2011 2012 2013

WRC-12

2014 2015 2016

WRC-15

2017 2018 2019 2020 2021

WRC-19

2022

ITU-R

ITU Workshop

Req., Eval.

Criteria

Proposal

Eval

Spec.

RAN

3GPP

Rel-10 Rel-11 Rel-12 Rel-13

We are here

5G WI(s)

 Phase-1: fundamental features of UAI focusing on spectrum below 6GHz

 Phase-2: enhancement features of UAI below and above 6GHz

Rel-14 Rel-15 Rel-16

5G SI(s)

UAI, other features / enhancements

Rel-17

5G SI(s)

 Start from UAI below 6GHz

 UAI above 6GHz will follow up after the channel model above

6GHz is ready

5G WI(s)

Phase-1

5G WI(s)

Phase-2

LTE-Advanced (4G) LTE New Branding (4.5G)

Notes:

* Proposal submission to ITU no later than June 2019

* Spec submission to ITU no later than February 2020 Huawei proprietary

Thank you

Copyright©2015 Huawei Technologies Co., Ltd. All Rights Reserved.

The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice.

Huawei proprietary Page 32

SCMA: Sparse Code Multiple Access

Number of Connections

375 400

350

300

250

200

150

100

50

0

95 x3.9

LTE-Advanced SCMA

Non-orthogonal multiplexing of layers

Overloading to increase overall rate and connectivity

Sparsity to limit complexity of detection

Multi-dimensional codewords with shaping gain and better spectral efficiency

Spreading for robust link adaptation

Grant-free access for reduction of both latency and signaling overhead

Huawei proprietary

Polar Code for reliability and low energy consumption

 For small packet (e.g. IoT, control channel), Polar Codes have 0.5-2dB gain comparing with

Turbo Code used in LTE, the gain is significant.

 No error floor, suitable for ultra-reliable transmission

 Low energy consumption

Huawei proprietary

Software Defined Air Interface (SoftAI) to

Integrate all Use Cases

 Optimized RAT for each application/use case

 Dynamic or semi-static or static configurable

 Across frequency carriers or within the same frequency carrier

 Forward compatible: easy to add future-proof new service/use case

 Smooth migration of LTE

One size fits all (LTE)  Air Interface Adaptation

(5G)

Soft AI

Waveforms and MA

 f-OFDM

SCMA

 Ultra NB WF

Coding Modulation

Polar

Turbo

 Network Coding

Access Protocols

Scheduled

Grant-free

 Adaptive HARQ

Frame Structure

 Flexible TTI

Flexible

Numerologies

 Flexible Duplex

 Full-Duplex

Huawei proprietary

f-OFDM: Enable Future Proof Design and RAN Slicing

Same Carrier

Filtered-OFDM

Flexible subcarrier parameterization uMTC MBB mMTC

Numerology-1 Numerology-2 Numerology-3

 Enable future proof design and RAN slicing by allowing independent co-existence of multiple services within the same carrier

 Sub-band digital filter to control inter-block interference (spectrum localization)

 Orthogonal Intra block to maintain OFDM benefits

 Non-orthogonal to enable co-existence of multiple numerologies without guard band

Huawei proprietary

MBB Smart Metering Driverless Car Broadcast / Multicast

Frequency