speakers_28_2327600902.pdf

33
6/14/2014 1 1 Dr. Chih-Lin I CMCC Chief Scientist, Wireless Technologies CMRI, China Mobile Keynote ICC2014 13 June 2014, Sydney Defining the Wireless Future Vision 2020: Perspectives of Mobile Operators (5G: Data Rate and More) 2 2 How to increase network capacity dramatically while keep the TCO at a reasonable level. What user needs must be met by 5G? How will wireless technologies and mobile infrastructure be integrated then? Are there any particular needs from mobile operator ’s point of view? How will mobile operators stay on the center stage in the future? What kind of technologies they are looking for? What’s the likely roadmap towards next generation mobile network? Recap...

Transcript of speakers_28_2327600902.pdf

  • 6/14/2014

    1

    1

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

    CMRI, China Mobile

    Keynote ICC2014 13 June 2014, Sydney

    Defining the Wireless Future Vision 2020: Perspectives of Mobile Operators

    (5G: Data Rate and More)

    2

    2

    How to increase network capacity dramatically while keep the TCO at a reasonable level.

    What user needs must be met by 5G?

    How will wireless technologies and mobile infrastructure be integrated then?

    Are there any particular needs from mobile operators point of view?

    How will mobile operators stay on the center stage in the future?

    What kind of technologies they are looking for?

    Whats the likely roadmap towards next generation mobile network?

    Recap...

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    3

    3

    Driving Force of Wireless Future

    Fast traffic growth from both Mobile Internet and IoT

    1000x within 10 years a common consensus

    4

    4

    Composition of the Growth

    Data Composed from reports of Cisco, Informa, Strategy Analysis, etc.

    M2M

    Video

    Others

    Traffic

    EB/Month

    Service Partition

    Smart Phone Func. Phone M2M Others

    China Global

    CAGR of video service will be 79% between

    2010 and 2020, and will

    be 70% of total traffic in

    2020

    70% of traffic will be from smart phone

    CAGR of IoT will be 86% between 2010 and

    2020, however, will be

    7% of total traffic in

    2020

    The major issue of IoT is number of

    connections rather than

    traffic

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    5

    5

    Challenges for MNOs

    Tencent, Google, Apple have built their open

    platform one after another

    OTT service have challenged voice, SMS service

    of operator.

    User growth of MNOs is slowing down, and it is

    difficult to support the sustainable development

    Significantenergy efficiency improvement in the network infrastructure

    Intelligent options for reducing operators CAPEX/OPEX

    High CAPEX/OPEX of RAN result from BS equipment room

    0

    50

    100

    150

    200

    10^8KWH Power Consumption (CMCC)

    93.3 111.4

    119.3 129.4

    169.1

    143

    178.6

    2008 2009 2010 2011 2012 2013 2014

    basestation Others

    2020

    ~0.25E

    B/M

    @2010

    500x

    @2020

    1000x

    @2020

    Revenue

    Growth

    Big

    Gap

    Internal

    Cost and Energy Consumption

    External

    OTT service providers

    Internal

    Traffic v.s. Revenue

    6

    6

    0.7Bilion users 0.83Million BTS 80GWH Power consumption

    GSM/GPRS/EDGE TD-SCDMA

    TD-LTE WLAN

    75Million users; 0.45Million BTS 13GWH Power consumption

    4.2 Million AP 2GWH power consumption

    20,000 BTS by 2012 260,000 BTS by 2013 500,000 BTS by 2014

    Special Challenge for CMCC

    How to coordinate four networks to meet needs of 780M subs?

    81x over last 5 years

    Efficiency!

    Agility!

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    7

    7

    5G

    - Future for all wireless stakeholders

    8

    8 8

    EU FP7 and Horizon 2020

    WWRF Vision 2020

    3GPP Roadmap to Y2020

    UK 5G Innovation Center

    Worldwide Activities on 5G since Q4 2012

    FuTure Forum 5G SIG

    Services &

    Requirements

    Road to 2020 Technical Trends

    China IMT-2020 PG

    Spectrum

    study

    Requirement study

    Technology

    trends

    5G new technology

    collect and evaluation

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    9

    9

    5G Initiatives In Asia

    IMT-20205G Promotion Group

    10

    10

    NGMNs Timeline for 5G

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    11

    11

    NGMN 5G White Paper Content Flow

    Customer

    Context Business

    Context

    Industry

    Context

    Operator

    Value

    Proposition

    Use

    Cases

    Business

    Models WS1: Vision

    Managem

    ent &

    Opera

    tion

    Requirem

    ents

    System Performance

    Requirements

    User Experience

    Requirements

    Business Model

    Requirements

    WS2: Requirements

    Enhanced Service

    Requirements

    Frequency Bands

    WS4: Spectrum Frequency Management

    Enabling capabilities Relevance Differentiation

    Customer lifecycle Customer expectation Situations

    Feature/Functionalities to Enable Business

    Models

    Technology

    Components

    Current State of

    the Art Business

    Architecture

    5G Architecture

    (Guidelines)

    Design

    Challenges and

    Principles

    WS3: Technology & Architecture

    Work in progress

    12

    12

    China IMT-2020 Promotion Group

    2014

    Spectrum

    Requirement

    Wireless Tech.

    Networking Tech.

    Strategy study Product

    Standard

    Tech.

    Overall

    The overall promotion project 2014 Timeline

    5G concept, requirement, and spectrum

    5G key tech. development

    5G Pre/Standardization

    5G product development and tech. test

    Next generation WLAN (HEW)

    5G requirement (1.0)

    Freq. requirement in 2020

    5G key technology

    5G network architecture

    5G Strategy study (1.0)

    On April 192013, IMT-2020(5G) is established by Ministry of Industry and Information, Development and Reform Commission, and Ministry of Science and Technology.

    FuTure Forum 5G SIG

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    13

    13

    5G Vision (Whitepaper, IMT-2020 PG, 29 May 2014)

    14

    14

    be able to sustainably satisfy the requirement of 1000x mobile data traffic growth.

    provide users with fiberlike access data rate and "zero" latency user experience.

    be capable of connecting 100 billion devices.

    be able to deliver a consistent experience across a variety of scenarios including the cases of ultra-high traffic volume density, ultra-high

    connection density, and ultra-high mobility.

    be able to provide intelligent optimization based on services and users awareness.

    improve energy and cost efficiency by over 100x

    5G Will...

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    15

    15

    Data Rate

    - Key element of 5G

    16

    16

    1 10010 1000

    mobility

    Low

    high

    Peak Data-Rate (Mbps)

    IMT-2000EnhancedIMT-2000

    NewMobile Access

    NewLocal Access

    4G

    1G

    3G

    2G

    History of Wireless Standard

    14.4Kbps

    384Kbps~2Mbps

    100Mbps~1Gbps

    = History of data rate improvement ?!

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    17

    17

    Future of Wireless Standard

    Van, Stretch Limo, RV, or Trailer?

    18

    18

    3D

    Continuous growth of video resolution

    Require extremely high data rate

    Augmented Reality Immersive Experience Cloud Desktop

    Virtual Reality UHD

    Data Rate Hungry Applications

    Flash user experience needs even more

    10Gbps @ Low

    Mobility

    1Gbps @ High

    Mobility

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    Higher Data Rate is Necessary

    Explore more spectrum in high frequency

    New air interface design

    New Spectrum + New Design 10Gbps Peak Rate

    20

    20

    Spectrum Gap and Strategy in China

    Potential spectrum resource between 6GHz ~100GHz

    Short term

    Medium term

    Long term

    Three steps

    Such as 5925-7075MHz, 26GHz LMDS,

    28GHz, 45GHz, 80GHz etc.

    High Freq.

    above 6GHz

    Freq.

    under

    discussion

    Freq.

    identified

    in IMT

    Such as 1427-1518MHz, 3300- 3400MHz, 4400-4500MHz,

    4800MHz-4990MHz etc.

    450-470MHz, 698- 806MHz, 3400-5600MHz etc.

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    21

    High Freq. Band: Key for High Data-Rate

    mm-Wave come to the rescue?

    Mm-Wave based C-RAN

    Huawei s E-band 115Gbps Prototype MiWEBA project under EU FP7 mm-Wave for fonthaul/backhaul/access/direct link

    22

    22

    Peak data rate: 10Gbps Latency: < 1ms Bandwidth: 100MHz under 6G, 500MHz above 6G Subcarrier spacing: 60, 120, 240KHz Packetized mini-frame design within sub-frame

    backward compatible with LTE TTI: 0.1, 0.125, 0.2, 0.25ms Flexible UL/DL allocation Backward compatible with LTE

    High Freq. Band: Numerology of New Air Interfaces

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    23

    and More

    24

    24

    Office Subway High-speed Train

    Typical

    Scenarios

    UHD Video Streaming

    Augmented Reality

    Cloud Storage

    Online Education

    ITS Smart Home

    Typical

    Services

    Freeway Stadium Residential Area

    Mobile Internet services

    High density High mobility High traffic

    Internet of Thing

    Remote

    Medicine

    Rich Requirements for 5G

    Modern

    Agriculture

    Environment

    Protection

    24

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    25

    25

    Expected Capabilities of 5G (IMT2020PG)

    User Experienced Data Rate

    Traffic Density

    Peak Data Rate Mobility

    Latency

    Connection Density

    China input to ITU-R M. [IMT.Vision] IMT-2020 PG IMT-2020(5G)PG-WHITE.PDF released on May 29, 2014

    Fiber-like access data rate and "zero" latency user experience

    26

    26

    Identified Air Interface Technologies (IMT2020PG)

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    27

    27

    Identified Networking Technologies (IMT2020PG)

    28

    28

    Enabling Technologies for 5G Capabilities (IMT2020PG)

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    29

    29

    NGMN 5G Use Cases (Interim draft, June 3-5)

    29

    The post-2020 outlook is vastly broad in terms of variety and variability. Sets of selected use cases

    show both enriched service categories and also prospects for numerous new services.

    Personal/Social

    Interaction in

    Connected

    Society

    Massive Internet

    of Things Critical & Safety -

    Lifeline

    Extreme Real-

    Time

    Communication

    Ultra-reliable

    (M2M, M2H, H2M) Low Data/Power

    Vehicle to Vehicle and to road communication

    Set of use cases

    Examples

    Remote Operation

    Automated Industries

    Health & Assisted Living

    Virtual collaboration

    Out of coverage and proximity

    30

    30

    MGMN Technology Components

    R1 Spectrum access

    Flexible use of

    licensed

    spectrum

    Integrated

    unlicensed

    spectrum

    Use of higher

    frequency

    bands

    Duplex Mode

    R2 Radio link New waveforms

    Advanced

    multiple

    access

    technologies

    Radio frame

    design/

    numerology

    Massive MIMO

    and enhanced

    multi-antenna

    schemes

    Advanced

    receivers

    Interference

    coordination

    Technologies

    for small

    packet

    transmission

    R3 Radio access capacity

    Densification:

    Small cells/

    Ultra-dense

    networks

    Dual connectivity

    capacity/ coverage

    split system design

    Enhanced

    multi-RAT

    coordination

    Device-to-

    device

    communication

    s

    Wireless backhauling

    (e.g., self-

    backhauling and

    relay)

    N1- Network

    flexibility

    Software-

    defined

    networking

    Virtualized

    mobile core

    network

    Virtualized

    RAN

    Flexible split of

    functions among

    network nodes

    State-

    disintegrated

    core node

    Micro-servers

    N2 Efficient /

    adaptive NW

    resource usage

    Traffic

    optimization

    Enhanced multi-

    operator network

    sharing

    Scalable

    service

    architecture

    Big data and

    context

    awareness

    Content-

    optimization

    and adaptive

    streaming

    Intelligent

    heterogeneous

    management

    N3 Other enablers

    Technologies

    for massive

    connectivity

    All optical

    transport

    network

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    31

    31

    CMCCs Timeline for 5G

    Green Communication Research Center established

    in Oct. 2011, initiated 5G Key Tech R&D.

    ITU-R M.[IMT.FUTURE TECHNOLOGY TRENDS] to be released on July, 2015 ITU-R M. [IMT.Vision] to be released on Oct., 2014

    32

    32

    CMCC 5G Themes

    From UE to

    Infrastructure

    From CN to

    RAN

    Soft Green

    IT Based core network

    Anchor BS

    Nano AP

    Virtual BB pool Content

    Pool

    Anchor BS

    Anchor BS

    Massive RRU

    Relay D2D

    relay

    D2D

    Indoor Coverage

    User Centric Access Network

    Supporting exclusive usage of

    available spectrum of each user

    LSAS

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    33

    33

    Rethink Shannon

    (EE/SE Co-design)

    Rethink Ring&Young

    (No More Cell)

    Rethink Signaling/Control

    (Load/App Aware)

    Invisible BS

    Rethink Spectrum

    Refarming

    SNR

    C

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

    Five Pearls

    34

    34

    CMCC Latest Publications

    Rethink Spectrum Refarming

    Invisible BS

    Rethinking Signaling/

    Control

    EE/SE

    No more Cell

    Book chapter: Towards Green and Soft, in book Towards 5G: Applications, Requirements & Candidate Technologies, John Wiley & Sons Ltd (in preparation)

    Book chapter: Rethink Ring and Young: Green and Soft RAN for 5G, Fiber Wireless Convergence in Next-Generation Communication Networks--- Systems,

    Architectures, and Management Springer Optical Networks Series (in preparation) C-RAN: toward open, green and soft RAN submitted to IEEE Network Magazine Network Deployment and Operation Based on Spatial and Temporal Traffic Model

    submitted to Chinacom

    Trillions of Nodes for 5G!?, submitted to IEEE GC2014. Full Duplex: Coming Into Reality in 2020?, submitted to IEEE GC2014. Optimal Antenna Configuration in Hybrid Digital and Analog Beamforming Structure,

    submitted to IEEE GC2014.

    Large Scale Antenna System with Hybrid BFfor Millimeter Wave 5G, submitted to IEEE Communications magazine.

    "EE-SE Relationship for Large-Scale Antenna Systems in IEEE ICC 2014 Large Scale Antenna System with Hybrid Digital and Analog BF Structure in IEEE

    ICC 2014

    Small Data Optimized Radio Access Network Signaling/Control Design in IEEE ICC 2014

    A Temporal Domain Based Method against Pilot Contamination for Multi-cell Massive MIMO Systems in IEEE VTC 2014

    "Fundamental Properties of the EE-SE Relationship in IEEE WCNC2014 5G Workshop in IEEE IWS2014

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

  • 6/14/2014

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    35

    35

    Rethink

    Shannon

    Rethink

    Ring&Young

    Rethinking

    Signaling/Control

    Invisible

    BS

    Rethink Spectrum

    Refarming

    Latest Developments: EE/SE Co-design

    EE/SE

    Framework Increasing

    Speed when

    the SE

    approaches

    zero

    Decreasing

    Speed when

    the SE

    approaches

    infinity

    EE-optimal

    Points (Green

    Point)

    The impact of the circuit power and the CSI

    on the EE-SE curves in the single-user

    case,

    The impact of the number of users on the

    EE-SE curves in the multi-user case

    No-CSI: the EE-optimal points always stays in a straight line regardless of circuit power, and the number of transmit antennas. CSI: the intercept of EE-optimal lines increases with M.

    Through serving more users, the

    speed of EE reduction will alleviated

    with the increase of the SE.

    0 1 2 3 4 5 60

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10x 10

    5

    SE (bps/Hz)

    EE

    (bit/

    J)

    Pc= 0

    Pc = 20 W

    Pc = 10 W

    Monotonic

    tradeoff

    Given EE,

    two SE

    values exist

    36

    36

    EE/SE Co-design of Hybrid BF Structures ...

    DAC

    DAC

    .

    .

    .

    Antenna 0

    Antenna (N*M-1)

    S0(t)

    SK-1(t)

    0

    0w

    1

    0

    Mw

    0

    1Nw

    1

    1

    M

    Nw

    PAPA

    PAPA

    Antenna (M-1)

    Antenna ((N-1)*M)

    .

    .

    .

    .

    .

    .

    DBF

    D

    UE 1

    UE K

    .

    .

    .

    ABF

    A1

    ABF

    AN

    Transceiver 0

    Transceiver N-1

    For NM=L and independent N and M cases

    Given SE, there exists optimal N which yields highest EE

    Given SE, there exists optimal M which yields highest EE

    Antenna/transceiver On/Off The BS can be designed with the maximum number of N and M under given SE requirement range,

    and

    Enhance EE performance via antenna /transceiver On/Off based on the SE requirements

    Green point EE optimization

    For NM=L case There exists optimal N which maximize the green point EE

    For independent N and M case The green point EE is monotonically increasing with N

    10 20 30 40 50 600

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4x 10

    6

    M

    EE

    SE=6

    SE=12

    SE=18

    SE=24

    SE=30

    SE=36

    SE=42

    SE=48

    SE=54

    SE=60

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    37

    37

    Rethink

    Shannon

    Rethink

    Ring&Young

    Rethinking

    Signaling/Control

    Invisible

    BS

    Rethink Spectrum

    Refarming

    Latest Developments:EE/SE Co-design

    0 2 4 6 8 10

    0

    2

    4

    6

    8

    10

    0 2 4 6 8 10

    0

    2

    4

    6

    8

    10

    Two deployment schemes

    Macro

    Number

    Micro

    Number

    Peak

    Power

    Low load

    Power

    Average

    Power

    Scheme 1 9 21 8016w 6252w 6546w

    Scheme 2 7 47 9098w 5370w 5992w

    Tab. Daily power consumptions of two deployment schemes

    working area load

    km

    km

    2 4 6 8 10

    10

    8

    6

    4

    2

    residential area load

    km

    km

    2 4 6 8 10

    10

    8

    6

    4

    2peak traffic load

    km

    km

    2 4 6 8 10

    10

    8

    6

    4

    2t = 11:00 am t = 9:00 pm Peak rate traffic

    0 0

    1 1 0

    ( ) ( )S S

    T i k k i k k

    i k i k

    P t dt s P t s P t P tMin

    Solution Space

    Peak rate power Low load power

    Energy efficient network deployment

    Peak data rate

    Traffic variation over time and space

    0 2 4 6 8 10 12 14 16 1810

    -1

    100

    101

    102

    103

    104

    105

    106

    SE (bps/Hz)

    EE

    (b

    its

    /J)

    Current GSM Point

    GSM Curve

    Current LTE Macro-cell Point

    LTE Macro-cell Curve

    LTE Pico-cell Curve

    Current LTE Pico-cell Point

    38

    38

    Hetnet

    From single-

    layer coverage

    to multi-layer

    coverage

    CoMP

    From cell-level SP

    to coordinatd SP

    among CoMP set

    Short-term sales-

    up potential

    BCG2

    Signalling/data

    decuoping

    DAS

    From SP to

    centralizedcell-level SP

    Joint processingCoMP processor

    Coordinated multi-points Tx/Rx

    DAS: Distributed (large-scale) antenna system

    RRU RRU RRU RRU

    BBU

    macro

    micro

    femto

    Break in

    coverage Break in

    RRM

    Break in Signal

    Processing

    Break in

    Protocol

    Rethink Ring&Young: No More Cell

    C-RAN as a Starting Point

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    39

    39

    Rethink

    Shannon

    Rethink

    Ring&Young

    Rethinking

    Signaling/Control

    Invisible

    BS Rethink Spectrum

    Refarming

    Latest Developments: No More Cell

    Prototype Profile: TD-LTE BBU: HP ML350, Commercial UE (HiSilicon), RRH and vEPC Commercial BBU L1/L2/L3 protocol stack Demonstrate the feasibility of GPPs capability of

    wireless signal processing

    DAS, CoMP, HetNet, BCG2 C-RAN

    Soft BS Soft BBU Pool

    OpenSource Virtulization

    Accelerator-based C-RAN for world-first TD-LTE Ping

    call based on commercial protocol

    (Real time demo in MWC2014)

    40

    40

    Successful demo in MWC 2014

    Mobile Phone Samsung

    Mobile Phone Samsung

    Demo Booth

    Equipment Room

    R

    R

    H

    R

    R

    H

    Mobile

    Phone Samsung

    C-RAN (IBM/Agilent)

    C-RAN (ALU)

    Nanocell Comba

    vSAEGW

    (ZTE) Edge

    Applications

    vEPC

    vEPC(Huawei)

    vEPC (ZTE)

    vMME

    vIMS (ZTE)

    vIMS (Huawei)

    vMME(ALU) vSAEGW (Cisco)

    vHSS(Linker networks)

    Future Networks: Softer and

    Greener

    Theme: Future network: Softer and Greener

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    41

    41

    Made NFV E2E

    04132014

    NFV Approach

    BRAS

    Firewall DPI

    CDN

    Tester/QoE monitor

    WAN Acceleration

    Message Router

    Radio/Fixed Access Network Nodes

    Carrier Grade NAT

    Session Border Controller

    PE Router SGSN/GGSN

    200 members from both IT and telecom industry since its foundation on Oct. of 2012

    Multiple WG/EGs, e.g INF, SWA., MANO, PER, REL and SEC. Have released 5 ISG-level documents to the industry, including

    architecture, use cases, terminologies, requirements and PoC promotion.

    Independent Software

    Vendors

    High volume Ethernet switches

    High volume standard servers

    High volume standard storage

    Orchestrated,

    automatic & remote install.

    Com

    petitiv

    e &

    Innovativ

    e

    Ecosyste

    m

    Independent Software Vendors

    Source: ETSI NFV ISG

    Classical Network Appliance Approach

    42

    42

    CPU I/O Accelerator

    VM Of

    TD-LTE

    VM of

    Edge APPs

    VM of

    FDD LTE

    Standard Server

    Video Optimization

    TCP Optimization

    Fashion service

    Fitness service

    KTV service

    Food service

    C-RAN Service Map Service pushing base on location

    CDN/Cache on Edge

    Passive cache and active pushing on the RAN side according to the popularity of the content of service

    Reduce stress of network interaction, improve user experience

    Reduce TCP signal feedback overhead through redundancy coding

    Adjust the TCP congestion window dynamically based on wireless variation

    Real-time analysis towards the information of wireless channel realizes dynamic video coding and QoS guarantee on RAN side

    Advertising and details of buildings in the cell

    Accurate position

    navigation

    VM of

    GSM

    Virtual Switch

    Hypervisor

    C-RAN in MAE 2014: Open platform for diverse Edge Service

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    43

    43

    Rethinking Signaling/Control

    VoIP: 65~375

    IM(Weixin): 2~6.6

    IM(QQ):

  • 6/14/2014

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    45

    45

    Rethink

    Shannon

    Rethink

    Ring&Young

    Rethinking

    Signaling/Control

    Invisible

    BS

    Rethink Spectrum

    Refarming

    CMCC Latest Developments

    Scheduling based access

    Overhead:

    Control channel

    Contention based access

    Overhead:

    Guard interval Collision

    Normalized load

    Th/P

    RB

    Turn point

    Connectionless

    access region

    Connection-oriented

    access region

    Load-aware control/ signaling reconfiguration

    46

    46

    Rethink

    Shannon

    Rethink

    Ring&Young

    Rethinking

    Signaling/Control

    Invisible

    BS

    Rethink Spectrum

    Refarming

    CMCC Latest Developments

    Service-aware RAN signaling/control optimization

    On demand long connection over the air

    Avoid delay from connection setup and transition

    Low overhead weak connection state: not fully functional channel feedback and estimation

    Customized connection configuration for fast delivery

    Shorter DRX periodicity

    Real time radio link feedback

    Inform application timely in case of radio link failure

    Better user experience

    Real-time IP PUSH Delay sensitive

    (

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    47

    47

    High Freq. Band : Data Only Small Cell

    Dense small cells: Challenges

    Mobility support: frequent handovers Signaling overhead: increase with cell density

    Low cost "Data Only small cell carrier with the help of Macro

    Solution: Simple, low cost, data only small cell Only UL/DL data channels Only UL/DL data related reference signals

    UE

    All control in Macro:

    Access, sync, RRM, handover control

    Data only

    Target for Challenges Potential Solution

    No PSS/SSS, No

    CRS

    Coarse/Fine Synchronization; Discovery and Selection, incl. carrier specific measurement supporting handover

    Initial UL power setting

    Utilize User-Specific RS for measurement and detection; UL Listening and Calibration with help of Macro

    No MIB/SIB Small Cell Specific Info Delivery Delivered from Macro by Specific Signaling or Broadcast

    No PRACH Initial and Continuous UL Sync UL Listening and Calibration with help of Macro

    No

    PDCCH/PHICH/PCFI

    CH/PUCCH

    User specific data scheduling Small cell specific paging Data transmission ACK Channel measurement feedback

    Transmitted via Macro Small cells and Macro joint calibration

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    48

    SmartTile: the Key to Invisible BS

    Characteristic

    1. Miniaturized Antenna

    2. Integrated digital board RF board and antenna

    3. Low-cost RF components

    4. Independent unit

    5. Flexible deployment regular or irregular

    6. Making base station invisible 7. Easy to scale up

    Prototype Miniaturization

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    CMCC Latest Developments

    First release of SmartTile (2 Transceivers)

    Digital board

    Optical port

    Ethernet port

    Transceiver 0

    (PA + LNA + filter) RFIC

    Serial port

    Analog board

    JTAG port

    Transceiver1

    Power

    Parallel port

    Reset

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    CMCC Latest Developments

    SmartTile Development Plan

    Prototype 1:

    1. Three boards: FPGA/CPRI + RF + Antenna

    2. Testing & development

    1. Smart Antenna for wideband

    2. Envelope Tracking for PA

    3. Two antennas

    Prototype 2:

    1. Smart Antenna for wideband

    2. Envelope Tracking for PA

    3. 8 antennas

    4. Low power: 2-3W/Channel

    Prototype 3:

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    CMCC Latest Developments

    Impact of antenna pattern on beams

    Planar array size: 8x8

    Desired horizontal angle : [-39o -26o -13o 0o 13o 26o 39o]

    Desired vertical angle : [74o 85o 96o 107o]

    Cover region: horizontal: 90o ; vertical: 45o

    With omnidirectional

    antennas

    With directional antennas

    Directional antenna pattern

    o

    3 3= 90dB dB With directional antennas

    o

    3 3= 65dB dB

    ,1

    exp 2 1 cos ( 1) sin( ) sin( )

    1,2,... ; 1,2, ;

    V Hm n etilt etilt escan

    H V

    H V

    d dw i n m

    N N

    m N n N

    etiltescan

    Weighting factor:

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    CMCC Latest Developments

    System scheme & algorithm development

    BF vector acquisition UEs scheduling

    DL MU-MIMO UL channel estimation UL energy estimation in beam region

    System scheme based on TD-LTE

    Frame structure design

    Beamforming algorithm on irregular array

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    CMCC Latest Developments

    Beam patterns of regular and irregular arrays Planar array: 8x8

    Irregular planar array: 64 elements extracted from a regular 12x10 array

    Desired horizontal angle : [-39o -26o -13o 0o 13o 26o 39o]

    Desired vertical angle : [74o 85o 96o 107o]

    Cover region: horizontal: 90o ; vertical: 45o

    Omnidirectional antennas

    Regular array Irregular array

    escan

    etilt

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    CMCC Latest Developments

    Beam optimization over irregular array

    -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1-60

    -50

    -40

    -30

    -20

    -10

    0

    sin

    Be

    am

    pa

    tte

    rn (

    dB

    )

    Regular array

    Irregular array

    Least Square Method

    Objective: minimize the square error

    between the beam patterns of regular

    and irregular arrays

    8x8 regular array with

    0.5 spacing

    64-element irregular array

    0.5 spacing with weighting of regular array

    64-element irregular

    array 0.5 spacing with least square method

    [1] Harry L. Van Trees Optimum Array Processing

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    CMCC Latest Developments

    Impact of calibration

    Random phase in [-180o,180o]

    Random phase in [-90o,90o]

    No phase error

    Simulation results (16x8, 0.5 )

    Gain loss (60%)

    Many side lobes

    ..... A1 A2 AN

    SmartTile Array

    Traditional RF/ant. module:

    SmartTile module:

    Completely independent phase for each

    Smart Tile.

    Oscillator 1 Oscillator 2 Oscillator N .....

    The same oscillator is used for all the antennas, but

    amplitude errors and phase errors are exist due to

    non-ideal factors, such as frequency offset, delay,

    temperature drift etc.

    Calibration is critical and challenging

    for LSAS with SmartTile.

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    CMCC Latest Developments

    Potential calibration method

    Over the air near field calibration

    Procedure:

    Each antenna sends reference signal, and two adjacent

    antenna receive signal

    Proposed method is under evaluation, and other methods are under investigation

    n-1 n n+1 n-2 n+2

    Receive chain Cali.

    Transmit chain Cali.

    nnnnnn try 1,1,1 nnnnnn try 1,1,1

    Assume the propagation between adjacent antennas are same:

    1

    1

    ,1

    ,1

    n

    n

    nn

    nn

    rr

    yy

    1

    1

    1,

    1,

    n

    n

    nn

    nn

    tt

    yy

    Receive chain Cali.: Transmit chain Cali.:

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    CMCC Latest Development

    New duplex method

    Step 1: Joint TDD and FDD Operation

    Step 2:Unified Division Duplex (UDD)

    FD FDD FDD DL CA UL CA

    TDD or FD in

    time domain

    FD on one F

    Step 3: XDD

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    CMCC Latest Development

    Core of XDD Full Duplex Networking Complicated interferences to be solved

    FD HD

    FD

    FD HD HD

    HD

    FD

    FD

    FD

    FD

    Deployment 1 with small

    spatial correlation Deployment 2 with large

    spatial correlation

    UE

    2 UE

    1

    UE

    3 UE

    4

    Inter-cell DL interference at UE

    Inter-cell interference at BS

    Intra-cell Inter-user interference

    Inter-cell inter-user interference

    Inter-cell UL interference at BS

    Our Suggestions:

    Proper FD deployment according to traffic dynamic in spatial/temporal domain

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    CMCC Latest Development

    New spectrum utilization policy

    Shared Access:

    Shared among multiple duplex modes Shared among multiple RATs Shared among multiple MNOs

    Opportunistic Access:

    Cognitive radio White space technologies

    LTE-U

    LTE in unlicensed spectrum:

    WiFi

    Unauthorized TDD

    Authorized

    FDD

    Unauthorized TDD Unauthorized TDD

    CA-based mode

    Unauthorized TDD (Independent work

    Authorized

    FDD

    Unauthorized TDD Unauthorized

    DL only

    Unauthorized

    DL only

    Independent

    mode

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    Summary Green & Soft Revolution Evolution

    mmWave Small Cells, HetNet, C-RAN Densification, UDN, Sea of RRUs C/U separation, Macro-Aided Data Only Small Cell, pCell 3D MIMO, mMIMO/LSAS, Invisible BS Unified TDD/FDD, Full Duplex Video, Hologram, Immersive Experience Phone/Pad/Watch, Wearables, Implantables

    Update on 5 Pearls: Real traffic profile & equipment power model based EE/SE Co-design Commercial stack based C-RAN Soft BS Load/service aware signaling design with Alibaba SmartTile with Terminal RFICs for LSAS prototyping New spectrum, Unlicensed spectrum, Shared spectrum

    Trillions of Nodes!?

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    Trillions of Nodes?

    Internet of Thing

    Concentrator

    5G 5G

    Wearable Devices Smart Home Vehicle Network

    Existing Solutions & new AI

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    Parting thoughts:

    Aggregators!

    Horizontal v.s. Vertical Platforms

    Mission-Criticals Nice2Haves Medical/Emergency Health/Well-being Auto-Drive/Tactile Driving Assistance How Many 9s? Best Effort? Willingness to Pay! Free?

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    Crowd Sourcing?!

    BT-FON, Free France, etc

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    64

    5G Era Vision

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    Thank you!