1

SDX: E2E Architecture of 5G

Dr. Chih-Lin I CMCC Chief Scientist, Wireless Technologies

CMRI, China Mobile

Keynote, IEEE NetSoft 2016 June 7, 2016, Seoul, Korea

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Naming:IMT-2020 Three major application scenarios

Traffic density

Connection density

Latency Mobility Energy efficiency

10Tbps/Km2 1M/Km2 1ms AI 500Km/h 100 times

KPIs Feature Diagrams ITU-R M.[IMT.VISION]

Gain over 4G

Multiple KPI sets

User experienced data rate

Spectrum efficiency

Peak data rate

0.1~1Gbps 3, 5 in some cases 10~20Gbps

5G wishlist in terms of KPIs (ITU-R WP5D, Jun 2015)

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3

User experienced data rate (Gbps)

0.1 to 1 Gbps Connection density (104/Km2)

1 m connections/Km2

End to end latency (ms)

ms level

Mobility (Km/h) 500+ Km/h

Peak data rate (Gbps) Tens of Gbps

Traffic volume density (Tbps/Km2)

Tens of Gbps

Spectrum efficiency

Energy efficiency

Cost efficiency

5G 4G

<6GHz

6-100GHz

2016 2017 2018 2019 2020

New radio path towards 5G

Evolution path towards 5G 4G AI 4G Evolution AI

5G Low Freq. New AI

5G High Freq. New AI

5G roadmap

Dual Paths towards 5G: Evolution & Revolution

Evolution path strives to fulfill all IMT-2020 requirements

New radio path fulfills all IMT-2020 requirements

Continues to evolve in parallel with new radio

Phased approach

“Information a finger way, Everything in Touch”

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World’s Largest 4G Network

~1.2M 4G BSs

BS

~1.4M @2016

Terminal Sales volume 300M+

Types 2000+, Price <50$

~377M 4G Subscribers

Subscriber

~500M@2016

Coverage

~1.2B pop (~86%), Reach Villages

March 2016

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5

China Mobile 4G+ Network Development Small Cell

High Order Modulation

CA

3D-MIMO

~ 100,000 Small BSs to be deployed in 2016

UL: 2 CC CA, DL: 3CC CA Field test DL 2CC CA has been deployed in some provinces

DL: 256QAM; UL: 64QAM Most of vendors support, some terminals will support in later of 2016

3D-MIMO BS Test in 4G Commercial Network

VoLTE

Has been widely deployed in Commercial Network (2016)

NB-IOT

Aim for commercialization at end of 2017

Wider Deeper Thicker Faster Newer Fusion

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Carrier Aggregation in China Mobile LTE, one carrier CA Massive CA

Up to 32 carriers

DL, 2 CC (2D/2E/F+D)

Small Cell, DL, 2 CC (2D)

DL, 3 CC (F+2D/3D)

DL, 4 CCs (F+3D)

Marco BS DL 2 CC CA (D+D) have been deployed in some provinces , 2nd half of 2015 Filed Test initiated, 2nd half of 2015

China Mobile has deployed CA in its network

UL, 2 CC (2D/2E/F+D)

DL, FDD + TDD

Begin studying, commercial UE required

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World’s First 128 Ant BS Deployment in 4G Network

China Mobile, Shanghai，Sep.18,2015

Targets: 3D coverage, deep coverage, thp improve

Location: urban district with high buildings (ChangShou Road, Shanghai)

Scheme (high-rise):

BS (25m), aims to cover a 75m building & neighbouring roads

Tech: 3D beamforming & multi-sector networking

Thp Freq& BW SE 2.6G&20M 630 Mbps Up to 43bit/Hz

4G commercial. terminals 5~6x improve

Massive MIMO (128 ant.) Pre-com. Product.

CMCC 128-Ant mMIMO 4G BS in Shanghai

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Green Communication Research Center established in Oct. 2011, initiated 5G Key Tech R&D.

Rethink Fundamentals --- Softwarization

Rethink Shannon

Rethink Ring & Young

Rethink Signaling & Control

Rethink Antenna

Rethink Spectrum & Air Interface

Rethink Fronthaul

Rethink Protocol Stack

To start a green journey of wireless systems

For no more “cells”

To make network application/load aware

To make BS “invisible”

To enable wireless signal to “dress for the occasion ”

To enable Soft RAN via NGFI

To enable User Centric Cell and real-time flexible air interface

1. “Towards Green & Soft: A 5G Perspective” IEEE Comm. Magazine, Vol.52, Feb.2014

2. “5G: rethink wireless communication for 2020+” Philosophical Trans. A. 374(2062), 2015

3. “New paradigm of 5G wireless internet” IEEE JSAC, vol.34, no.3, March 2016

Green

Soft

Super Fast

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5G: UCN + SDAI

SDAI UCN +

2G

OFDM + MIMO

TDMA

CDMA SDAI: Software defined Air Interface UCN: User Centric Network NMC: No More “Cells”

(NMC)

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Unified RAN architecture + Common high layer protocol (UCN, enabled by C-RAN/NGFI)

High Freq. RIT

Low Freq. New RIT

Massive-MTC RIT

Mission-Critical RIT

PTN PON Transportation network

Core Network

Low-latency & high-reliability

Seamless wide-area coverage

Hotspot & high data rate

Low-power & massive-connections

SDN/NFV

Green and Soft

SDAI (enabled by MCD)

LTE evolution Low freq. eMBB NB-IOT Latency redu. V2X

E2E 5G System Architecture: SDX

RAN

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Framework of radio access network

User Centric RAN (UCN) of 5G …

Big Data based SON: high

efficient O&M

Cloud-RAN: More powerful Platform

Seamless mobility: reduced handover delay and

interruption time

Local data processing: Ultra low latency

Flexible functional split: adaptability to diverse deployment scenarios

Intelligent awareness : satisfactory service

requirements

RAN restructure, CN-RAN Repartition , Turbo Charged Edge , Network Slice as a Service

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C-RAN paved the way to RAN Revolution (CMCC, 2009)

…

RRU

RRU

RRU

RRU

RRU

RRU

RRU

Virtual BS Pool

Distributed RRU

High bandwidth optical transport

network

Real-time Cloud for centralized processing

… Centralized Control and/or Processing Centralized processing resource

pool that can support 10~1000 cells

Collaborative Radio Multi-cell Joint scheduling and

processing

Real-Time Cloud Target to Open IT platform Consolidate the processing resource

into a Cloud Flexible multi-standard operation

and migration

Clean System Target Less power consuming Lower OPEX Fast system roll-out

“Soft BS ” in C-RAN virtualization/Cloudization

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• ETSI NFV ISG (2012) − NOC member − Use cases and rrequirements input on

accelerator, license management, policy management, hardware IOT etc.

− Work item prioritization (acceleration, MANO architecture etc)

− PoC on C-RAN virtualization − Contributions on WP 1.0 & 4.0

ETSI NFV ISG and OPNFV

NFV PoC #7: C-RAN virtualization with dedicated hardware accelerator • Demonstrated in Mobile Asia Expo in June in

Shanghai and SDN & Openflow World Congress in October in Germany (2014)

• Multi-mode, multi-carrier virtualized systems with L3 live migration

• OPNFV (2014) − Platinum and board member

− OPNFV lab in CMCC (Jan 2015)

− Lead on HA project, contributing on the scenarios, requirements and gap analysis which are integrated into OPNFV Brahamaputra release

− Lead on DPACC project, finishing the architecture, requirements and gap analysis

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The Latency Frontier of RAN Virtualization

• Field trial in 2015

• RAN virtualization: one of the use cases in ETSI NFV ISG

• Imposes more critical challenges on NFV platform

• Commitment since 2013 – Optimization on interrupt latency:

Average 4us v.s. ~100us for traditional system

– Optimization on platform processing latency: 25~30us v.s. 300~500us in traditional Linux system

– Optimization on VM communication latency: ~10us v.s. ~100us in traditional Linux system

• NFV-compliant C-RAN implementation – VM realization of LTE – Key technologies adopted

• RT enahncement: RT-Linux, DPDK, OVS • Effeciency improvement: RT-KVM • Management: Openstack

NIC NIC

Share Mem LTE OAI

RAL

avp_kni netdev

OVS DPDK

Host kernel space

DPDK

Host user space

Guest kernel space Guest user space

DPDK

Compute Node VM

Ethernet RRU EPC

C-RAN Virtualization field testbed @

Tsinghua University

Testbed: • 1 TD-LTE macro

outdoor BS • 18 TD-LTE indoor

BSs • 1 GSM outdoor

BS • Area : 0.8km^2, • General

Server/Switch based BBU pool (with PHY1 accelerators)

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TIC & Open-O （Feb 23, 2016）

Open-O Project officially announced in GTI (China Mobile, Huawei, Linux Foundation)

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Turbo Charged Edge: MEC • Service on Edge Demo (MWC2014)

• ETSI MEC ISG： Founded in Sep. 2014, 36 members and 18 participants so far

CMCC-Intel joint PoC (VIP Video) in Dec. 2015

CMCC became a participant in April 2016

• Current status： Study on architecture & depolyment solution in our commercial networks

Field trials on multi-visual-angle live program of competitive sports (F1 Shanghai)

Cache, M-CDN and LBO Cache：16% saving on transport bandwidth, 26.7% reduction on video buffering and 71% increase of DL rate

Multi-visual-angle live program of competitive sports：more than 90 small cells, maximum 100 users in service, 0.5s

latency compared to live broadcast

• Next step To develop enterprise technical specification and accelerate MEC commercialization

Ecosystem promotion

PoC: Video optimization for VIP users

0.5s latency with MEC compared with live broadcast

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C-RAN & NGFI (xHaul): Road towards 5G RAN Architecture

4G C-RAN trials & deployment

Winner of Best Overall RAN Initiative of RANNY Awards

C-RAN centralization as a preferred deployment solution in CMCC’s “Network Deployment Guidance” • Deployment & trials in more than 10 cities since 2013 • 2016 deployment plan: extension to 7 provinces and cities • One province of the scale of around 2000 sites • Performance improvement: CA gain: 83%~ 95%; UL CoMP

gain: 50% ~ 300%

Radio CP Anchor

HW Pool

Hypervisor VIM

SDN Control

VNFM Radio CP Anchor

Radio UP Anchor

RAN Orchestration Centralization: Networking Preparation for 5G

Current Cloud-RAN: Virtualization (with MANO) & NGFI

Future

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下一代前传网络接口 白 皮 书

White Paper of Next Generation Fronthaul Interface

Version 1.0

June 4th, 2015

China Mobile Research Institute Alcatel-Lucent

Nokia Networks ZTE Corporation

Broadcom Corporation Intel China Research Center

White Paper on NGFI released in June 2015

NGFI Status •1st NGFI WS held & NGFI WP released in June, 2015

- MoU signing with Broadcom, Intel, Alcatel-Lucent, HuaWei, ZTE, Nokia, Xilinx & Altera • Co-founder of IEEE 1904.3 • NGFI as the key component in NGMN 5G WP, FuTURE 5G WP • NGFI/FH promotion and study in ITU-T, IEEE and 3GPP • NGFI Paper in IEEE Communication Magazine & GLOBECOM 2015

-

NGFI feasibility study with Xilinx

“Rethink Fronthaul for Soft RAN”, IEEE Comm. Mag. 2015

“NGFI, The xHaul”, GLOBECOM 2015

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IEEE 1914 NGFI WG • Approved in Feb. 2016 • Lead by CMCC with co-founders of:

• Target: efficient & scalable fronthaul

transport networks for 5G

Sponsor: COM/SDB

NGFI 1914 WG

P1914.1 ?? 1914.3

• The first NGFI WG meeting on 27 – 28 April, San Jose, with more than 45 participants

• Policy & procedure draft • Working scope discussion • Invited speeches • LS to 3GPP

P1914.1

P1914.3

802.1 CM Use cases & scenarios, Architecture, requirements

RoE encapsulation

To specify the solutions

input

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5G Network Architecture for 2020 and beyond

Optimized protocol Mobility/session management, QoS, interface…

Challenges: variant view across industry, system design and standardization across SDOs with tight 5G timeline China Mobile is working together with key partners on solution development and testing

New Platform

New Networking

New Capability

New Protocol

New Function

NFV/SDN enables flexible and programmable network & functions

Network Slicing Vertical & customized network support

In Network Service (INS) Content integration, capability exposure enable e.g., MEC

CU Separation Converged control plane and distributed user plane

Data MANO Openness

optimizer content Access cloud

Traffic Forwarding

Open interface

Traffic Processing

Open Interface

Control Function Composer

DPI/Charging User Plan

e

MM SM

QoS Interface

China Mobile view 5G as an opportunity to achieve a flexible, efficient, scalable and programmable network toward “Telecommunication 4.0” era

AAA

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Network Slice as a Service

• Identified 28 High-level requirements

• Defined 20 key issues

• Some of the key issues are considered as

the basic design of 5G

1. Network Slicing

2. Mobility management

3. QoS framework

4. Session Management

5. User plane selection and session

continuity

6. Network function granularity and

interactions

7. Authentication framework

8. Policy

• Some solution proposed already for these

key issues

After 5 meetings since 2015. Nov., 35% progress has been made

Figure: Reference point naming

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SPTN: SDN Packet Transport Networks

2G/3G/LTE backhaul

10GE

Backbone

MME

SGW

Metro Access

Enterprise customer 40GE 100GE

Services

End to End network solution, volume>1,000,000 PTN nodes

SDN: Open · Intelligence · virtualization

OAM · QoS · sub50ms-Protection

Next-gen PTN： Smart and centralized Control

High resources utilization Fast provisioning

Smooth migration

1

2

3

4

SPTN

Internet user experience

Carrier-grade services PTN:

SPTN application scenarios in CMCC Network

SPTN basic conception

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Software defined Air Interface (SDAI)

SDAI：configurable for verticals

Spectrum

Configurable functions and parameters

Multiple access

Modulation and coding Beamforming Frame

structure Duplex

Scenarios and service

Flexible and efficient

mMIMO/hybrid BF

• Hybrid beamforming • Coverage enhancement • Capacity enhancement

TTI

Carrier

DL control UL control DL/UL data

Flexible frame structure New waveform

• Low out of band emission • Support for asynchronous transmission

Hybrid multiple access

• Unified framework • Capacity enhancement • Spectral efficiency improvement

• Flexible DL/UL and duplex • Scalable bandwidth and TTI • Latency reduction

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Hotspot

High Speed High Freq

band

mMTC

uMTC

eMBB

Low Freq band

IoT

Typical deployment scenarios of SDAI Evaluation scenarios

(IMT-2020 PG Requirement WG)

Typical Scenarios of SDAI

InH

Dense Urban

Urban Coverage

Rural Coverage

High Speed

Massive Connection

Auto-driving

Industrial Control

Hotspot

Wide Coverage

eMBB

mMTC

URLLC

IoT

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Demo SDAI Concept Step by Step

Channel Coding &

Modulation

Data Bit Interface

Multiple Access Coding

Spatial Processing

Frequency Multiplexing Waveform

Frame Structure

Pilot and System signalization

MAC controller

De- Framing

Waveform Receiver

Signal Detection (Spatial/Code) (advanced receivers: SIC/MPA)

Demodulation & channel

decoding

Data Bit Interface

Sync Channel Estimator

First Stage Second Stage

OFDM/UFMC/ GFDM/FBMC CP length, Filter, Subcarrier bandwidth

LSAS Hybrid digital-analog MU-MIMO /MIMO NOMA

SCMA/MUSA, NOMA/PDMA Overloading factor Spreading Codeword

Coverage

SE & EE

Latency ……

Service type & scenario

CSI

Connection

…… Context Information

System Utility Function

Domain Transformation

Domain Inverse

Transformation

Delay/Dopper/ Angle spread domain signal processing

Duplex Module

channel

TDD/FDD/ Full Duplex

RF

RF

Second Stage

Duplex Module

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U U U U U U U U

D D D D D D D D

t

f

f2

f1

D D D D U U U U

t

f

f0

FDD

TDD

D/U D/U D/U D/U D/U D/U D/U D/U

t

f

f0Full

Duplex

U U D/U D/U D D D D

D D U U D/U D/U D D

t

f

f1

f0

XDD

D D U UD/U D/U D Df2

SDAI Key Tech Progress

Single/Fixed Flexible/Configurable

Flexible Duplex Mode Flexible Spatial Processing

DAC

DAC

.

.

.

Antenna 0Transceiver 0

Transceiver N-1

(a) Generalized BF Structure

Antenna Nx-1

A...

S0(t)

SNt-1(t)

D

.

.

.

DAC

DAC

.

.

.

Antenna 0

S0(t)

PA

D

Transceiver 0

Transceiver N*M-1

(b) Digital BF

Antenna N*M-1

PA

AD...

DAC

DAC

.

.

.

Antenna 0

Antenna (N*M-1)

S0(t)

Transceiver 0

Transceiver N-1

(c) Hybrid BF Type 1

PAPA

PAPA

.

.

.

DAC

DAC

.

.

.

Antenna 0

Antenna (N*M-1)

S0(t)

00w

10Mw −

01Nw −

11

MNw −−

PAPA

PAPA

Antenna (M-1)

Antenna ((N-1)*M)

.

.

.

.

.

.

D

A0

AN-1

Transceiver 0

Transceiver N-1

(d) Hybrid BF Type 2

SNt-1(t)

SNt-1(t)

SNt-1(t)

• Various beamforming structures and schemes • Unified signaling scheme • Unified reference signal design and feedback scheme

Flexible Frame Structure Flexible Waveform

Flexible Multiple Access

Non-orthogonal Uplink Multiple Access with K users spreading over N resource elements

ChannelEncoding

ChannelEncoding

ChannelEncoding

user1

user2

User K

NMAEncoder

NMAEncoder

NMAEncoder

Function Node

Variable Node

Frequency

Time

Advanced Receiver

(SIC/MPA)

ConstellationOptimization

Factor Graph

* * *

* *

00 01 10 11

0 0 0 00 0 0 0

0

a d d a

d a e

− −

Example

SCMA: sparse factor graph+ multi-dimensional constellationPDMA: factor graph with diversity optimization +traditional modulationMUSA: factor graph based on{-1,0,1}+constellation optimization

……

Unified New MA Architecture

Dynamic subframe configuration for UL/DL via broadcast or unicast signaling

Dynamic frame structure

To better match DL/UL traffic Need careful frame structure design Complicated networking and interference

management

Compatible Low Complexity Unified implementation architecture

Example of waveform configurations for different scenarios

Waveform configuration for

Different time/freq resources within each carrier

Different component carrier

Different scenarios

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Rethink Protocol Stack for 5G

: C/U definition 1.Control Plane: Combination of RRC (slow control) and MAC (fast control) 2.User Plane: dynamic centralized and distributed function definition

Dynamic configuration 1.FC-MAC control DRC and RLC dynamically based on RRC signaling 2. DRC flexible control：a) Independent entity; b) new function for PDCP；c）new function for RLC

MCD: Multi-level Centralized and Distributed

No More “Cell”: Decoupling “UE” from “Cell”

Cell

Frequency

Space

Radio Resource within one TTI

Time Four-dimension Radio Resource: Time Cell Frequency Space

UE set

C-plane

5G protocol stack

D-plane

Cell set

Four-dimension Architecture: Cell set UE set C-plane D-plane

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Six Tech Proposals for 5G (to IMT2020 PG, Oct 31, 2015)

NGFI

E2E Network Arch UCN

SDAI

MCD

C-RAN

…

RRU

RRU RRU

RRU

RRU

RRU

RRU

Virtual BS Pool

Distributed RRU

High BW optical transport network

Real-time Cloud for centralized

processing

…

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FuTURE 5G SIG

• FuTURE 5G SIG launched in Mar. 2014 • FuTURE 5G WP 1.0 (Nov 6, 2014): • FuTURE 5G WP 2.0 series (Nov 6, 2015) - FuTURE 5G WP 2.0

- Topical WP 2.0a to 2.0g - Topical WP 2.0h：5G High Mobility (June 3, 2016)

White Paper V2.0, 2015. 11

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CMCC 5G Activities

• ITU： - 8 KPIs proposed by China adopted by ITU-R; - Co-lead ITU-T IMT-2020 FG work and contribute to the network softwarization paper and gap analysis.

• IEEE： - IEEE 1914 NGFI WG led by CMCC officially launched in Feb. 2016; - Contribution on White Paper of IEEE SDN Initiative.

• NGMN： - Lead in 5G requirements study, actively contributed tech & network architecture study, & jointly issued NGMN 5G WP; - As NGMN representative, providing Operators’ vision on 5G scenarios & tech requirements to 3GPP & ITU.

• ETSI NFV : - Founding member of NOC; Extended NFV scope from CN only to E2E including RAN; - Contribution on NFV WP 1.0 to 4.0; - PoC contribution to demonstrate vRAN capability; - Prioritization on feature proposals for NFV 2016 planning, feedback on NFV stage 3 planning etc.

• CCSA - Lead in CCSA NGFI study Item, contribution on NGFI study report; - Actively involved in candidate high freq study, including channel measurements; - Actively involved in dedicated spectrum study for V2V.

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CMCC 5G Activities in 3GPP 3GPP：

- 3GPP SA2, lead in the 5G network architecture design SI - “Study on Architecture for Next Generation System” SI led by CMCC approved on Oct. 22, 2015 with 48

companies’ co-signature(expected reach to 55 companies in SA plenary). It is the first large-project related to 5G standardization led by China;

- Already developed 28 high-level requirements, 19 key issues (9 of them are basic), initial high level architecture, candidate solutions.

- 3GPP SA1, lead in “SMARTER-Network Operation (NEO)” SI - SMARTER: New Services and Markets Technology Enablers

- 3GPP 5G RAN Standardization Timeline - Sep. 2015, SI on high-freq channel modeling initiated;

- Dec. 2015, 5G requirements SI initiated (CMCC lead);

- Mar. 2016, 5G technology SI initiated (~50 submissions from RAN1 to RAN4); - Mar. 2016, “Study on Context Aware Service Delivery in RAN” Initiated (CMCC lead) in RAN3

- Sep 2015, RAN 5G workshop: - Phase 1 WI to be completed at the 2nd half of 2018, targeting network deployment at 2020; - Phase 2 WI to be completed at end of 2019, for ITU spec submission deadline with all the requirements satisfied.

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NGMN 2014 PT/EXPO 2014

IMIC 2014

China Mobile 5G Prototype Demo (2014-2015)

2015.3, C-RAN live carrier migration & SmarTile based Invisible BS

2015.9 Mini C-RAN 2015.9 SDAI first-phase demo

2014.2, Greener and Softer Network

MWC2014 MWC2015 PT/EXPO China 2015

GSMA 2014

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China Mobile 5G Prototype Demo (MWC2016)

SDAI/Smartile 2.0: CMCC & Cobham/Keysight/R&S/Sunnad

Mini C-RAN/NGFI: CMCC & Intel/WindRiver

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5G key tech. validation, prototype and initial trials 2015Q1 2015Q2 2015Q3 2015Q4

Massive MIMO （128TX）

3D-MIMO in single site （128TX, Huawei, ZTE）

3D-MIMO pre-commerial products

Full Dulplex （Interference

cancellation 102dB）

High Frequency （6GHz-30GHz）

SDAI

Prototype and tests (Huawei, UESTC @chengdu)

ZTE（@Shanghai，15GHz）、UESTC（@Chengdu，26GHz）、Huawei@Chengdu(Ka/E/V band)

Cooperate with Huawei, ZTE, Datang Mobile, Cobham

TI、MACOM、Qorvo、 MURATA Chipset Device

（3D-MIMO、High frequency）

Full Dulplex Prototype

2016Q4

2015Q4

2016Q4

2016Q4

2016Q4

2016Q1 2016Q2 2016Q3

3D-MIMO in scale (ZTE @shanghai, Huawei@Shanghai, Datang

Mobile@beijing)

Multiple Access （SCMA, PDMA, MUSA ）

ZTE（@shanghai，MUSA）、Huawei（@chengdu，SCMA）、Datang Mobile（@Beijing，PDMA） 2016Q4

Waveform （F-OFDM, FB-OFDM ）

ZTE（@shanghai，FB-OFDM）, Huawei（@chengdu，F-OFDM） 2016Q4

UDN （ ≥8 eNBs， ≥ 10 UEs） Datang Mobile @Beijing

2016Q4

Channel coding （Polar code） Huawei@Chengdu

2016Q4

High Frequency Prototype

Ericsson、Nokia、Huawei User Centric Network

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5G Reshapes the Industry

SDX

C-RAN NGFI SDAI

MCD

SDN/NFV

Traditional stakeholders - CMCC, Vodafone, DoCoMo,… - Ericsson, Huawei, ZTE, ALU, Nokia, … - Qualcomm, Marvel, MTK, SPR, … - Freescale, Ti, … - …

New stakeholders - Intel, ARM, Xilinx, Altera, … - IBM, Inspur, Lenove, Cisco… - Windriver, Vmware, - Open Source community - Premises owner Service venders on the soft/open

platform (OTT, MVNO, …)

Vertical, Individual Consumers

Open5G?

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Open X: the open source communities for soft networks

• Radio technologies

• Transport • Core • Security platform

• Architecture • Communication • Manageability • Security • SW infrastructure • Testbeds

• ONOS • CORD • OVX • Mininet • XOS

• Access • Backhaul • Core

Tools and platforms for SDN

Reimagine the traditional approach to building and deploying telecom network infrastructure

Open platform&technologies for 5G

Accelerate the adoption of fog computing for IoT

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Big Data Analytics for Network Optimization

UE QoS UE Location

Network configuration & traffic data BSs Energy Model

INPUT

S-cell List Traffic Distribution

Total Energy Forecast OUTPUT

MCES (Multi-RAT Cooperation Energy-saving System)

NETINCUBE LTE Network Performance Optimization SSA (Smart Signaling Analyzer) Based on terminal road-test data

Completed at the end of 2015 Completed in Oct. 2014

Completed at the end of 2015

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Summary • World’s Largest 4G/4G+ Network: ~1.2M BSs, ~377M Subscribers

• 5G Era: Fully Mobilized & Connected Society

• 5G KPIs: Performance + Efficiency/Agility

• Themes: Green, Soft, and Super Fast • Technology Pearls: Rethink Fundamentals

• E2E 5G: SDX

• Enabling Tech: SDN/NFV, C-RAN/NGFI, and SDAI/MCD

• Sample Demo: • Service on Edge (MEC) on Greener & Softer Network (MWC2014) • Live Migration on Virtualized C-RAN, Invisible BS (mMIMO) with SmarTile (MWC2015) • SDAI /SmarTile 2.0 (MWC2016 ), Mini C-RAN/NGFI (MWC2016)

• Verticals, Open 5G (Open-O) & Big Data (CMCC 7K TB/day) • SDO’s, Fora & Alliances

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Thank you!

icl@chinamobile.com