Welcome To Nokia Solutions And Networks 03_9 Nov_Session 1_Chih Lin I 1 03 9 Nov Session Chih

User Manual: 03_9-Nov_Session-1_Chih-Lin-I-1

Open the PDF directly: View PDF .
Page Count: 18

Download
Open PDF In Browser	View PDF

Towards Flexible Network and AI
Dr. Chih-Lin I
CMCC Chief Scientist, Wireless Technologies
CMRI, China Mobile
Designing the Flexible 5G System Architecture
The 2nd Global 5G Summit
Nov. 09, 2016, Roma, Italy
1

Rethink Fundamentals: SDAI + UCN
Green Communication Research
Center established in Oct. 2011,
initiated 5G Key Tech R&D.

Rethink Shannon

Green

To start a green journey of wireless systems

Rethink Ring & Young
For no more “cells” via C-RAN (SDN/NFV)

Rethink Signaling & Control
To make network application/load aware

Soft

Rethink Antenna
To make BS “invisible” via SmarTile

Rethink Spectrum & Air Interface
To enable wireless signal to “dress for the occasion” via SDAI

Rethink Fronthaul

Super Fast

To enable Soft RAN via NGFI

Rethink Protocol Stack
To enable User Centric Cell and real-time flexible air interface via MCD

“Towards Green & Soft: A 5G Perspective” IEEE Comm. Magazine, Vol.52, Feb.2014
“5G:
2 rethink wireless communication for 2020+”, Philosophical Trans. A. 374(2062), 2015
“New paradigm of 5G wireless internet”, IEEE JSAC, vol.34, no.3, March 2016

China Mobile 5G Prototype Demo (2014-2016)
2014.2, Greener and Softer Network
(MWC2014)

2015.3, C-RAN live carrier migration
& SmarTile based Invisible BS(MWC2015)

2016.6 SDAI (Multiple Access), Mini C-RAN/MEC
(MWCS2016)

3

2016.2 SDAI&SmarTile 2.0, Mini CRAN/NGFI (MWC2016)

2016.9 SDAI&Smar Tile 2.0, C-RAN multiple nodes server
(PT/EXPOCHINA 2016)

World’s Largest 4G Network
End of Sep, 2016

The Largest
Scale

146M Base stations

481M Subscribers

34% of Global LTE base stations

32% of Global LTE subscribers

1.5M @2016e

500M@2016e

The Most
Device Choices

The Most
Popular Network

2000+ Types of devices

~1.3B Pop coverage rate

70% are 1,000-Yuan smartphones
4

The Biggest
User Base

99.7% of national population

Ecosystem : Collaborate for an Open and Innovative Platform

39

partners have already joined
5G Innovation Center
Joint Innovation
Partner

Member

Open Lab 1

Open Lab to drive the research,
test and joint innovation

Open Lab 2

Open Lab 3

……

Communication
Infrastructure Lab

MemberNetwork
Equipment
 Huawei
 Ericsson
 Nokia
 ZTE
 Datang
 Xilinx

MemberTerminal chips

 Qualcomm
 Intel
 Leadcore
 Spreadtrum
 Samsung
Electronics
 MediaTek

MemberInstrument

ENGINEERING

5

 DJI
 Changhong

Beijing
Qingdao

Chengdu
Shanghai
Chongqing Zhejiang

MemberVertical Industry

 Haier
 Hisense
 R& S
 Beijing
 Keysight
Shougang
 Cobham Wireless Automation
 StarPoint
InfoTech
 Anite Telecoms
 Wireless Car
 BYD
 GAC

Stockholm

Joint
Innovation
Partner

 Neusoft
 Goer Tek
 SAFT SA
 OVIPHONE
 EVE Energy
 Polycis
 Jinan Towngas  CloudMinds
 Qingdao IESlab  Energizer
 Philips Lighting
 Wapwag
 State Grid Smart
Grid Research Institute
Audi China

Beijng: Comm. Infrastructure Lab
Qingdao: IoT, Verticals

Tech Prototype Test Completed (IMT2020 PG, Sep, 2016)
2015Q1

2015Q2

2015Q3

2015Q4

3D-MIMO pre-commerial
products

Massive MIMO
（128TX）

Full Dulplex

Full Duplex Prototype

（Interference
cancellation
102dB）

3D-MIMO in single site （128TX, Huawei,
ZTE）
Huawei (Full duplex prototype R&D)

2016Q3

3D-MIMO in scale
(ZTE @ shenzhen, 2.6GHz, Nokia@Beijing, 3.5GHz,
Datang Mobile@beijing, 3.5GHz)

2016Q4

Huawei (@ Chengdu, full duplex test on small cell)
2015Q4

High Frequency

ZTE（@Shanghai，15GHz）、Ericsson（@Beijing，
15GHz）, Samsung@Beijing(28G)

2016Q4

Multiple Access

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

2016Q4

ZTE（@shanghai，FB-OFDM）, Huawei（@chengdu，FOFDM）

2016Q4

（SCMA, PDMA,
MUSA ）
Waveform

（F-OFDM, FBOFDM ）

UDN

（ ≥8 eNBs， ≥ 10 UEs）

Channel coding
（Polar code）

User Centric
Network
SDAI
Chipset Device

6

2016Q2

Huawei (@ Chengdu, full duplex prototype test)

（6GHz-30GHz）

High Freq Prototype

2016Q1

（3D-MIMO、High
frequency）

IMT-2020 PG

Datang Mobile (@Beijing, UDN prototype test )

CMCC

2016Q4

Huawei(@Chengdu, polar code prototype test)

Ericsson、Nokia、Huawei (UCN)
Cooperate with Huawei, ZTE, Datang Mobile, Cobham (SDAI)
TI、MACOM、Qorvo、 MURATA

2016Q4

2016Q4

2016Q4

UCN Turbo Charged Edge: MEC Trials
Demo on video optimization for VIP users of iQIYI

Field and Lab trial on Cache
Cache hit
EPC

• Scenarios: area without core
network cache
• Solutions: Single-level cache and
Two-level cache
• Advantages: latency reduction &
transmission saving
• Key concerns: Charging, Mobility
management

RAN as black box
Non-VIP
users

PTN N/W

MME

UE

eNB

S-GW

P-GW

Cache missed

RAN MEC

Charging
info.

Charge
node

BOSS

•Lab trial: 50% saving on latency & 50% increase on DL
•Field trial: 17% hit rate at peak traffic time & 16% saving on transport BW

Video server

EPC
Service sensing +
optimized scheduling

VIP users

• Packet analysis by MEC to distinguish the service and VIP users, then BS informed

• Differentiated wireless BW and latency guarantee provided by BS

Local breakout: trial of Multi-visual-angle live program of competitive sports
•
•
•
•

Scenarios: smart gateway, local content forwarding etc.
Solutions:

Service delivery by eNB

Service delivery by MEC
Major advantage: latency reduction
Key concerns: Security

• More than 90 small cells
• Maximum 100 users in service
• 0.5s latency compared to live broadcast
7

MEC
EPC

Video center

Internet

HD live

Collaboration Demo with Verticals
LTE-V Demonstration in G20 (Sep, 2016)

First Cellular based UAV Trial (Aug, 2016)

Small BS at lamppost

Standalone

Ant

A low latency use case
in 5G

EPC
MME

LTE-V

LTE-V＋
MBB

RRU@2.6G

S6a

HSS

Intern
et

S11

EPC
deployed
near the Transmission
RAN

SGW

PGW

Current MMB
application
1 Macro BS, 33 Small BSs

• V2N：20MHz@2.6GHz

E2E latency

• V2P/V2V/V2I: 10MHz@2.6GHz

5G Trial: ~15ms

(only for demo in G20)

• RSRP≧-85dBm

4G Network: 22-25ms

• SINR ≧ 20dB

OTT: 40-45ms

• Seamless coverage

•
•
•

(Inter-site distance ~140m)

8
CMCC,
SAIC, Huawei, Ali

Initial Cellular V2X standard completed

Use case of uRLLC. For low latency, EPC deployed near the RAN.
The first step of distribution and virtualization for the Core Network
Part of achievement in National Project

3GPP Progress in RAN1
Waveform/MA/Channel coding indentified for NR
Waveform < 40GHz

Channel coding

Multiple Access

DL Waveform: CP-OFDM

Orthogonal Multiple Access

LDPC for eMBB medium/long block

UL waveform: DFT-S-OFDM + OFDM

selected as the baseline for NR.

size. For small block size (128Tb/s high throughput

Slicing management and Orchestrator

All in all, a service oriented design is the goal to make the network programmable, flexible and profitable
14

Open-O Release 1.0 ‘SUN’ Released on Nov 7, 2016
Open-O (Orchestrator) officially announced in GTI, Feb 2016
(China Mobile, Huawei, Linux Foundation)

The Open-O 1.0 ‘SUN’ with 2M codes released in Nov 2016

15

Bridging the gap between SDN and NFV, for both residential and enterprise
virtualized customer premises equipment (vCPE) use cases.
(CMCC, CTC, HKT, Ericsson, Huawei, ZTE, Intel, Redhat, GigaSpaces, …)

C-RAN industrial Joint WG (Nov. 18, 2016)
Objective: Aligning with industry partners to unify the understanding of C-RAN, Driving the industry to enhance the maturity of C-RAN fit
for operators’ requirements. standardize the interface of SW/HW, north-interface of MANO for CU. Preparing to Pre-commercial PoC and
Field trial. Partners: Huawei, ZTE, Ericsson, Intel, RedHat, WR, Spirent, BroadCom and etc.
2016.11 white paper published and WG start up

2017.12~2018.6 PoC of Precommercial C-RAN

2017.6 CU basic solution to de coupling of SW/HW, Orchestration

Time schedule

2018.6~ Small-scale Field trial

Base on the independence of research points, it can be split into 5 working groups：

1 Use case definition: define the radio orchestration requirement, C-RAN networking scenarios.
MANO: abstraction of RAN
service model to achieve template
extension and def.(NSD, VLD,
VNFD, PNFD, FWGD)
Virtualization layer:
Func. and Perf. enhancement to
support RT-processing of RAN,
definition of test specification
16

2

5
4

3

VNF Split and function definition:
refine RAN split and
VNF(CU/DU) function definition
and interface requirement
Common HW platform:
standardization of accelerator
and common HW spec, to
decouple SW and HW.
16

Summary: Era of CT+IT+DT
•
•

•

World’s Largest 4G/4G+ Network: ~1.46M BSs, ~481M Subscribers
Sustainability (5G perspective in 2011): Performance + Efficiency/Agility
•

Themes: Green, Soft, and Super Fast

•

Technology Pearls: Rethink Fundamentals

E2E 5G: SDX (UCN + SDAI)
•

Enabling Tech: SDN/NFV, UCN (C-RAN/MEC/NGFI), and SDAI/MCD

•

3GPP: ( >200 NR submissions from CMCC)
•

SA2 (SDN/NFV)

•

RAN3/RAN2 (C-RAN/NGFI/MCD)

•

RAN1(SDAI/MCD)

•

China Mobile 5G Joint Innovation Center: Vertical Industry & Ecosystem

•

Gap analysis for NR and LTE-A Pro

•

Wild Cards: Open 5G (Open-O) & Big Data (CMCC 7K TB/day)

17

Thank you!
icl@chinamobile.com

18



---

Source Exif Data:

File Type                       : PDF
File Type Extension             : pdf
MIME Type                       : application/pdf
PDF Version                     : 1.5
Linearized                      : Yes
Author                          : Brooklyn 5G Summit
Create Date                     : 2016:11:09 18:29:22Z
Modify Date                     : 2016:11:11 10:25:18+01:00
Language                        : zh-CN
Tagged PDF                      : Yes
XMP Toolkit                     : Adobe XMP Core 5.6-c015 84.158975, 2016/02/13-02:40:29
Format                          : application/pdf
Creator                         : Brooklyn 5G Summit
Title                           : Welcome to Nokia Solutions and Networks
Creator Tool                    : Microsoft® Office PowerPoint® 2007
Metadata Date                   : 2016:11:11 10:25:18+01:00
Producer                        : Microsoft® Office PowerPoint® 2007
Document ID                     : uuid:2fc100bc-5e1f-4c19-aff5-6c7e971aa27a
Instance ID                     : uuid:6452e8b4-464a-416d-a9e1-80c0351709f0
Page Count                      : 18

EXIF Metadata provided by EXIF.tools