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ZTE 5G Product Line

June 27, 2016

Candidate Solution for 5G New Radio

ZTE Unified Air Interface

• 5G UAI Scenarios & Architecture

• 5G UAI Elements

• Filter Bank OFDM (FB-OFDM)

• Numerology & Scalable Frame Structure (SFS)

• Coding & Modulation

• Multiple User Shared Access (MUSA)

• Smooth Virtual Cell (SVC)

• Massive MIMO

• 5G UAI Prototypes in MWC 2016

• Summary

CONTENTS

3 © ZTE All rights reserved

5G Scenarios defined by ITU

Gigabytes in a second

Enhanced MBB

eMBB

Massive MTC

mMTC

Ultra-reliable

& Low Latency

URLLC

Smart Home

/Building Smart City Voice

Industry Automation

AR Work and play in the

cloud

3D video, UHD

screens Self Driving

Mission critical

application, e.g e-health


ZTE Design of UAI (Unified Air Interface) Architecture

Unified Waveform, Scalable Frame Structure

Service Aware & Convergence

Massive MIMO, High Frequency,UDN…

Multiple Connection, Diversity and Redundancy…

Grant-free MUSA…

eMBB Slice

ZTE Design of UAI Architecture in Clear and Systematic Logic

Optimized radio resources management for diversity service

Service Aware & Convergence Layer

RAN Slicing Layer

Flexible network slicing and elastic resource allocation

Abstract Physical Layer

Unified design for all services, spectrums and deployments

mMTC Slice URLLC Slice


ZTE’s Design of UAI for URLLC & mMTC

Dense Urban Information Society

Virtual Reality Office

BB Access Everywhere

Massive Distribution of Sensors & Actors

Connected Cars

Use Case KPI Requirements ZTE’s UAI Elements

Data Rate, Traffic Volume, # Users/Devices, Energy Efficiency(EE)

Data Rate, Traffic Volume, Latency

Data Rate, Availability, Mobility, EE

Availability, # Devices, EE

Latency, Reliability, Mobility

Filter-Bank OFDM (FB-OFDM)

Numerology & Scalable Frame (SFS)

New Coding & Modulation

Multiple User Shared Access(MUSA)

Massive MIMO …

…

Smooth Virtual Cell (SVC)


FB-OFDM (Filter Bank-OFDM)

Time

Frequency

OFDM@4G

Unable to Support Different Services

Fixed numerology for MBB

Reduced Spectrum Efficiency

Increase UE Cost

FB-OFDM@5G

Diversified Services Adaptive

Improved Spectrum Utilization

Time

Frequency

Decreased UE Cost

Guard band is required

Strict synchronization requirement

Flexible numerology configuration for diversity

Small or no guard band is needed

Low requirement for synchronization

mMTC

eMBB

uMTC


Numerology & Scalable Frame Structure (SFS)

S Supportable BW (MHz) Sampling Rate fs (MHz) FFT SC (kHz) CP (Same as LTE)

… … … 2048 … 160,(l=0) 144,(l=1,…,6) 1/4 (1.25~25)*S=0.3125~6.25 30.72*S=7.68 15*S=3.75

1/2 (1.25~25)*S=0.625~12.5 30.72*S=15.36 15*S=7.5 1 (1.25~25)*S=1.25~25 30.72*S=30.72 15*S=15 2 (1.25~25)*S=2.54~50 30.72*S=61.44 15*S=30 4 (1.25~25)*S=5~100 30.72*S=122.88 15*S=60

8 (1.25~25)*S=10~200 30.72*S=245.76 15*S=120 … … … …

FDD

DC UCDL Data GP DC UCUL DataGP

DC UCData

DC UC

DC UCData

Data

Aggregating two basic

TTI to form a new TTI

UCUL dataf_UL

f_DL DC DL data

TDD

t

fLong TTI

short TTI

TTI for MBMS

TTI for mMTC

Multiplexing short and long TTI in FDM manner

Multiplexing short and long TTI in TDM manner

Punctured for mission critical application


Coding & Modulation – LDPC & Packet Coding

kb

nb

mb

kb’

mb’

Systematic Bits

Parity Bits

Retransmission

1st Transmission

Mother CodeLDPC:

Flexibility:

Code Rates,

Block Sizes

IR HARQ

1. High Throughout & Low Latency 2. Partially or Full Parallel Decoding Architecture

Packet Coding

First transmission:

‘Fly on line’ decoder Retransmission

OFDM0

OFDM1

OFDM2

OFDM3

OFDM4

OFDM5

OFDM6

OFDM7

OFDM8

OFDM9

OFDM10

OFDM11

c0 c1 c2 c3 c4 c5 c6 c7 c8 c9c10

c11

T

F

c0 c1 c2 c3 c4 c5 c6 c7 c8 c9c10

c11

Decoding order

Receiving order

Node

B

UE

Soft ACK/NACK

Retransmission

Compute PER; Generate Soft ACK/NACK:

ACK: PER == 0;

NACK1: 0<PER<=P0;

NACK2: PER > P0.

NACK2:

NACK1:

N Code Blocks

Packet

Coding

Parity Block

PER: Packet Code

Error Rate

Packet: One TB in a

Transmission


Coding & Modulation – Soft Link Adaptation (SLA)

• Reduced TB size for retransmission ; innovative packet-code technology to improve retransmission efficiency.

• Benefit: about 10% capacity improvement

STB (Soft Transport Block)

• A unified feedback framework (Soft ACK/NACK or Soft CQI) can satisfy various UE requirement by different parameters

• Benefit: capacity improvement and delay reduction

SCSI (Soft Channel State Information Feedback)

• Use Data /demodulation RS /measurement RS to get more accurate channel state information

• Benefit: throughput improvement or the simplification of measurement and feedback

SM (Soft Channel Measurement)

Soft

Trans-

port

Block

(STB)

Soft

Channel

State

Infor-

mation

Feedback

(SCSI)

Soft

Channel

Measure-

ment

(SM)

SLA

Soft Link Adaptation


Multiple User Shared Access (MUSA) - Principle

SIC

H1*c1

H2*c2

Hn*cn

c1

c2

cn

user1

user2

usern

Spreading

Code

Spreading Code

H1(ω)

H2(ω)

Hn(ω)

user1 data

user2 data

usern data

mirror Gray

mirro

r Gra

y

mirror Gray

mirro

r Gra

y

mirror Gray

Constellation for superposition coding: mirrored mapping Improving the robustness of symbol-level SIC at UE Shaping optimization

Advanced Spreading

Spreading Code

Advanced spread sequences design and state-of-the-art SIC techniques

Free scheduling, and simplify synchronization and power control

3-6 times more connections

Low power consumption of IoT device


Multiple User Shared Access (MUSA) - Simulation Result

Parameters Assumptions

Modulation and Coding

Scheme

QPSK, LTE Turbo rate 1/2 and

Interleaver length 256

Spreading Sequence

Length 8, 16

User Load 100%, 150%, 200%, 250%, 300%,

350%, 400%

User SNR Distribution Uniformly Distributed in the range of

[4,20] dB

Channel Estimation Ideal

Receiver Algorithm SIC

Equipped with advanced spread sequences and the state-of-the-art SIC techniques, remarkable gains in system

performance, especially when the user overloading factor is high, e.g., > 300%



One user is dynamically served by one or more coordinated TPs

One user is always located at the center of its virtual cell, always achieves best performance

Effective way to deal with mobility and interference issues in network densification

Uniformed User Experience

Benefits

QoE

User Centric Service

provision

Unplanned Deployment

Dynamic Forming/ Reforming

Hybrid control (Master + Slave)

Data synchronization

Self-backhaul



Significant degradation in SINR when the

density of small nodes > 8 per macro cell

-10 0 10 20 30 40 500

10

20

30

40

50

60

70

80

90

100CD

F

LPNUE DL WideBand SINR[dB]

Co-4picos

NonCo-4picos

Co-8picos

NonCo-8picos

Co-16picos

NonCo-16picos

Co-32picos

NonCo-32picos

Co-40picos

NonCo-40picos

Co-60picos

NonCo-60picos

Per node capacity decreases

although Per area capacity

increases


Massive MIMO in Higher Frequency Band S-subframe(S=4),1ms

BSU (s=2), 0.5ms

Synch.

BSU (s=2), 0.5ms

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

PBCH

PDCCHDMRS

(Uplink)PDSCH PUSCH Synch. PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

GP

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

Synch.

/PBCH

Win

RACH

[10] ms

S-

subframe

(1ms)

Frequency domain

Synch.

PBCH

Space domain

Synch.

PBCHSynch.

PBCH

Synch.

PBCH

RACHSynch.

PBCH

Synch.

PBCHRACHSynch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCH

Synch.

PBCHRACH

Synch./PBCH RACH PDCH

Access procedures including discovery, synchronization, beam-trace(beam switch), fast link recovery etc.

Special signaling and channel design to support above procedures

Integration design for access and backhaul

MAC layer including beam management, coordination and scheduling etc.


Massive MIMO in Lower Frequency Band

•Capacity enhancement via Space Division Multiplex •Lower Interference, Easy Network Planning •Lower Energy Consumption, Green Site

Benefits

Challenge

High Overhead of Pilot & Feedback especially for FDD

Solutions

•Beamformed Pilot for UE

- pilot coordination between antenna

- compressive sensing based pilot

- from high to low dimension via virtualization

•CSI Feedback

- Adaptive Codebook for massive MIMO

- Enhanced CSI feedback based on partial channel reciprocity


Prototypes of 5G Key Technologies in MWC 2016

ZTE demoed Several Prototypes of 5G Key Technologies on 2016MWC

MUSA&FB-OFDM Test Bed

High Frequency Radio Prototype

Network Slicing Prototype

© ZTE Corporation. All rights reserved 17

Summary

ZTE 5G UAI is a highly potential solution for 3GPP 5G New Radio

3GPP NR Study/Phase 1/2 to be completed in 2017/18/19

FB-OFDM, Numerology & SFS, LDPC, Packet Coding & SLS,

MUSA, SVC, Massive MIMO to be supported by 3GPPP NR

ZTE 5G UAI/NR Innovations accelerates 5G Trial & Commercialization

China 5G Tech/Product Trial in 2015-2020 & Commercial in 2020

Global 5G Trial in 2016-2020 & Commercial in 2020

Thank you

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