Y o a n n C O R R E , W i r e l e s s C T O , H e a d o f w i r e l e s s R e s e a r c h & T e c h n o l o g y

2 1 F e b r u a r y 2 0 1 9

5 G r a d i o a c c e s s a n d b a c k h a u l i ng d e s i g n f r o m d e t e r m i n i s t i c

c h a n n e l s i m u l a t i o n

S é m i n a i r e T e l e c o m P a r i s T e c h

D é p a r t e m e n t C o m e l e c

With help of all my Research & Technology colleagues

2

�Introduction

o New 5G wireless infrastructure

o SIRADEL expertise: Propagation modelling & Wireless network design

�Focus on few major 5G innovations & Their simulation

o Massive MIMO

o Small-cell densification

o New frequency bands (mobile access, fixed access, backhaul)

o Convergence between mobile and fixed network infrastructures

+ (Sub-THz as Beyond-5G enabler)

C o n t e n t

3

S I R A D E L p r e s e n t a t i o n

4

Introduction

5

C o n t e x t : W i r e l e s s i n f r a s t r u c t u r e i n M o b i l e n e t w o r k s

CoreNetwork

(CN)

Access

Aggregation point (Hub)

GPON

Opticalfiber

Wireless backhaul

Last-mile small-cellbackhaul �Design of 5G wireless infrastructure

• Radio Access Network (RAN)

• Last-mile transport or backhaul

6

C o n t e x t : 5 G n e w c h a l l e n g e s

�Various ambitious requirements to besupported

Source: Huawei

�Specifications of 5G NR (New Radio) have been released in 2018

�Many trials are on-going today

�First commercial 5G user terminals are expected in 2019

�Several innovations have an impact on the radio infrastructure

• New spectrum

• New radio technologies

• New network topologies

• New services

• New xHaul architecture & requirements

�Some are further discussed in this talk

7

C o n t e x t : S I R A D E L e x p e r t i s e

�The propagation channel modelling is a key element for the assessment of the network performance, and for optimal infrastructure’s design

�Main property: PATH-LOSS

�Propagation is a complex multi-path channel (i.e. with severalechoes)

• Multiple bounces

• Obstruction

• Attenuation

• Diffraction

• Scattering

8

C o n t e x t : S I R A D E L e x p e r t i s e

�Several approaches for modelling the propagation channel

Analytical Stochastic Deterministic

Simple analytical formulation� Empirical models

� Mathematically tractable

� Easy implementation

Stochastic model, i.e. based on many random variables� Empirical models

� More realistic

� Integration in simulations

Approximation of physicalmechanisms� Required geo data

� More accurate

� Larger application domain

�SIRADEL deterministicmodel: VOLCANO

Ray approximation

9

C o n t e x t : S I R A D E L e x p e r t i s e

�Radio-planning tools�Engineering software

�Computation of the network performance & cost

�Computation of coverage maps

�Automatic design

10

W h a t ’ s n e x t i n t h i s p r e s e n t a t i o n

5G wirelessnovelty

Evolution in network

simulation & design

Use case

�Massive MIMO

�Small-cell densification

�New spectrum

�Wireless & fixed access convergence

11

Massive MIMO

12

P r i n c i p l e s

�Large antenna array at BS (≥ 64 ports)

�Beamforming � Boost in coverage range

�Multi-user multiplexing � Boost in capacity

TimeF

req

ue

ncy

Traditional OFDMA frame

With maMIMO

13

M a M I M O s i m u l a t i o n

�Optimal trade-off between complexity and abstraction in MaMIMO simulation?

�Performance depends on• Antenna array

• Propagation

• Channel estimation

• Complex signal processing

• Resource allocation

• User trafic

14

M a M I M O s y s t e m - l e v e l s i m u l a t i o n

maMIMO rate

CD

F

Scenario

Environment

Random user drops

MIMO Channel simulation

MaMIMO System-level simulator

Multi-user scheduling

Channel estimation

Transmit precoding and power allocation

Interference

Channel data

15

P e r f o r m a n c e e v a l u a t i o n

BS: 192 antennasUser: 1 antennaUp to 20 co-scheduled usersOutdoor users

Macro-cell Massive MIMO network

Data rateVs

Antenna shape

M. Z. Aslam, Y. Corre, E. Björnson, Y. Lostanlen, “Massive MIMO Channel Performance Analysis Considering Separation

of Simultaneous Users,” WSA, Bochum, 20188 m

2.6 m

1.0 m0.3 mArray size

@3.5 GHz:

16

Small-celldensification

17

�Boom of 5G small-cellsdeployment is expected to start between 2022 and 2025

S m a l l - c e l l d e n s i f i c a t i o n

From a survey on 105 mobile operators by the Small-cell forum (2018)

Share of dense urbandeployments stronglyincreases

18

5 G s m a l l - c e l l s

�Boost in capacity and high-data rate coverage

�Likely to be deployed at 3.5 GHz or above (large bandwidth e.g. 100 MHz)

�Beamforming equipment

�Many possible topologies: Hotspot, Macro deficiencies, Uniform

19

T o o l k i t f o r s m a l l - c e l l s i m u l a t i o n & d e s i g n

�Multi-beam antennas

�User traffic modelling

�Multi-pathpropagation

�3D analysis

20

3 D a n a l y s i s

�Macro-cell coverage �Heterogeneous-network (HetNet) coverage

SNR

30 dB

0 dB

21

S m a l l - c e l l n e t w o r k d e s i g n @ 2 6 G H z

Automatic design31 SC/km²

Lamppost locations

Bandwidth 100 MHz

Link Downlink (DL)

Tx power 30 dBm (1 W)

Tx beamforming antenna 20 dBi

Rx beamforming antenna 14 dBi

Target SNR 8 dB (16 QAM)

Shadowing (95% location) 15.7 dB

Add. margin 3 dB

22

P e r f o r m a n c e a s s e s s m e n t

Rx power from

single-antenna

(dBm)

�50% outdoor users

�50% indoor users

Analog beamforming

Fully digital arrayMassive MIMO

Hybrid system

Size of the antenna array at the small-cell 2 × 128 (dual-polar)

Nb sectors per site 2

23

New frequency bands

Focus on mill imeter-wave

24

N e w f r e q u e n c y b a n d s a s a k e y 5 G e n a b l e r

5G

� Enhanced Mobile Broadband (eMBB)Multi-Gbps peak data rate

Huge capacity

� Ultra Reliable LowLatency Comm.(uRLLC)Critical services

Ultra low latency

Ultra high reliability

� Massive IoTWide & deep coverage

Low power devices

High density

From Ericsson – Spectrum for 5G deployments

= Millimeter-wave spectrum

25

U s a g e o f t h e m m W a v e s p e c t r u m

From Ericsson microwave outlook, Ericsson, 2017

� Wireless backhauling

� Fixed Wireless Access (FWA)� Small-cell network

E-bandV-band

26

F i x e d W i r e l e s s A c c e s s ( F W A )

@3.5 GHz, 26 GHz, 38 GHz, or 60 GHz

�Provide fixed broadbandaccess to premises

�5G wireless as an alternative to FFTH or FTTP

�100+ Mbps per customer

27

W i r e l e s s b a c k h a u l e v o l u t i o n

Extracted from Ericsson microwave outlook, Ericsson, 2017

�Transport the 5G increased user trafic

�Support Cloud-RAN architecture

�Support dense networks

�Free some frequencies for 5G access

Move to higher frequencies

28

M e s h b a c k h a u l i n g @ 6 0 G H z

29

P r o p a g a t i o n c h a n n e l c o n s t r a i n t s & S i m u l a t i o n c h a l l e n g e s

�Gaz / rain attenuation

�Material

�Strong blockage by buildings

�Low in-building penetration

�Foliage attenuation

�Scattering

�Sensitivity to details

�Blockage by vehicles, human body, user’shand, etc

�Beamforming

FrommmMAGICproject

30

M m W a v e c o m p u t a t i o n b a s e d o n h i g h l y d e t a i l e d d a t a

� Outdoor small-cell coverage at 28 GHz� P2P backhaul link

-30 dBm

-110 dBm

31

M e s h b a c k h a u l @ 6 0 G H z f o r F W A

32

Convergence in FIXED and MOBILE network

infrastructures

33

C o n v e r g e n c e b e t w e e n F T T x a n d m o b i l e b a c k h a u l

Fiber route

FTTH

FTTA

Cloud-RAN enabler

34

C o n v e r g e n c e b e t w e e n F T T x a n d m o b i l e b a c k h a u l

FWA

Wireless backhaul

Mobile access

Hub

35

J o i n t d e s i g n

� Tight cooperation between fixed access design and wireless access design

+

300m

-40 dBm

-95 dBm

Fiber deployment

Observed on a particular use case:Up 34% cost reductionon fiber deployment

WiFi deployment-40 dBm

-95 dBm

36

Beyond-5G: sub-THz spectrum

37

S u b - T H z a s a n e n a b l e r f o r B e y o n d - 5 G c o m m u n i c a t i o n s

� Opportunities in sub-THz spectrum

http://www.brave-beyond5g.com/

� Propagation characterizationbased on simulation

Yoann Corre

Wireless CTO

ycorre@sirade l .com

+33.(0)2 .23.48 .05 .00

38