5g radio access and backhauling design from deterministic ... · macro-cellcoverage...
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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
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�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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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:
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�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
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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
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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
SNR
30 dB
0 dB
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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