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Convergent mm-MAGIC and ETSI RRS multi-RAT architectures for 5G
Krystian Safjan Nokia -PL/Wroclaw-
Isabelle Siaud, Anne-Marie Ulmer-Moll, Orange Labs- Rennes-France-
Multi-RAT and Network Terminal Function Virtualization Workshop, Feb. 23 th 2017
mmMAGIC
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mmMAGIC project information
Part of 5G-PPP under the Horizon 2020 - Research and Innovation Framework Programme (proposal 671650) Project runtime: July 2015 – July 2017 + 6 pro-bono months Project coordinator: Maziar Nekovee (Samsung) Technical manager: Miurel Tercero (Ericsson) Number of partners: 20
Project partners:
Overall objective develop a mobile radio access technology operating in above 6 GHz including mm-wave frequencies
Top-3 Objectives
Investigate suitable frequency ranges (6-100 GHz) for extremely high capacity mobile broadband services 1
Conduct measurements and develop accurate channel models for identified candidate frequency ranges. 2
Develop novel mobile radio access technologies for 5G systems in frequency above 6 GHz 3 Radio access technology
mmMAGIC
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RAN functions, architecture, and network integration
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Provide cost and energy efficient architecture design and deployment requirements for 5G networks
Design solutions for interworking of mm-wave nodes
Provide backhaul connectivity and overall network planning, networks flexible both in structure and operation.
Methodologies for dynamic deployments
Architectural enablers and deployment aspects
Network integration for an edge-less millimetre-wave access
mmW mmW mmW
50Mbps+ everywhere
Low frequency
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Solutions for integration [1]
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Low-band integration Supporting some control signals via greater reliability over the lower frequency RAT.
Multi-connectivity Providing a given UE with radio resources from two or more radio links.
Multi-layer/ Multi-RAT management Abstracting logical functions at different layers in a unified structure.
Network Slicing Multiple logical networks as independent business operations on a common infrastructure.
Agile Mobility Providing agile and low-overhead mobility via mmW cell clustering and new radio control states.
Self-backhauling Coverage/capacity extension by means of utilizing the same radio resources used by users.
Related but not in focus of this presentation In focus of this presentation:
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Multi-layer Multi RAT [1]
RAT selection and Multi connectivity configuration It is not trivial to decide which RATs to use (out of all RATs ‘visible’ to UE) and if using MC which mode to use (data duplication or aggregation) What kind of Multi-Connectivity (MC) metric to be used for RAT selection? A power efficient MC metric is under integration [2][3][4]
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Solutions: generic approach to multi-RAT management seeking scalable multi-RAT management at several layers, depending on the logical functions required to switch between different RATs and interfaces. The proposed generic model considers several abstraction layers for link adaptation metric integration.
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Multilayer abstraction layer for multi-RAN management [1]
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Multi-RAT Multi-layer abstraction layer
Multi-connectivity
Low-Band integration
C/U plane splitting [3]
Fast Session Transfer
Multi-radio platform [5]
mmMAGIC
Layer-3 architecture derived from MiWEBA
LTE Macro eNB
LTE/multi-RAT Interface
mm-wave / WiFi
U-plane
C-plane
mm-wave APs
LTEU-plane
WiFi APs
Macro base station
LTE Macro eNB
WiFiU-plane
C-plane
LTEU-plane
WiFi APs
WTLTE/WT interface
WT/AP interface
mmMAGIC
Layer-3 architecture derived from MiWEBA
UE
Mm-wave BS
LTE Macro BS
MME
Mm-wave BS
S-GW
EPCEPCHSS 3GPP AAA
Server
ANDSF
PDN GW PCRF
SpSp
S11S11
S1-US1-U
S1-CS1-C
S6S6
S5S5 S7S7
Mm-wave systemsMm-wave systems
3GPP3GPPX2X2
Mobility/Controller Gateway
X2X2
LTE Macro eNB
WiFiU-plane
C-plane
LTEU-plane
WiFi APs
WTLTE/WT interface
WT/AP interface
mmMAGIC
Spectrum Efficient & Power efficient Multi-RAT aggregation Evolved architecture derived from 3GPP/WLAN aggregation to introduce power efficient
multi-RAT management -New PE KPI integration in evolved 3GPP architectures- 3GPP versus Orange PE making decision
SE c
riter
ion
1E-6
1E-5
1E-4
1E-3
1E-2
1E-1
1E+0
0 5 10
BE
R
SNR
MCM AWGN
Multipath Channel
70
75
80
85
20 21 22 23 24 25 26 27 28 29 30Prop
agat
ion
Loss
(dB
)
distance d (m)
PLM
Free space path-loss
Multipath path-loss
α = MCM + PLM
Ec/No (dB) Pilots
4 bit CQI world
CQI index
Mod
Code rate x1024
-16.25 0000 0 no transmission -14.75 0001 1 QPSK 78 ….. …… … -5.75 0111 7 16QAM 378 0.25 1011 11 64QAM 567 6.25 1111 15 64QAM 948
mmMAGIC
Spectrum Efficient & Power efficient Multi-RAT aggregation Evolved architecture derived from 3GPP/WLAN aggregation to introduce power efficient
multi-RAT management- New PE KPI integration in evolved 3GPP architectures-
3GPP versus Orange PE making decision SE
crit
erio
n
22
23
24
25
26
27
28
1E-6
1E-5
1E-4
1E-3
1E-2
1E-1
1E+0
-85 -80 -75 -70 -65 -60 -55
d (m
)
BE
R
Power (dBm)
β
SM Pr
β = Pr - SM
Ec/No (dB) Pilots
4 bit CQI world
CQI index
Mod
Code rate x1024
-16.25 0000 0 no transmission -14.75 0001 1 QPSK 78 ….. …… … -5.75 0111 7 16QAM 378 0.25 1011 11 64QAM 567 6.25 1111 15 64QAM 948
mmMAGIC
Power efficient LTE/Multi-RAT aggregation (abstraction layer 3)
Evolved architecture derived from 3GPP/WLAN aggregation to introduce power efficient multi-RAT management
Evolved architecture [SUMP,16]
MME
RRC
PDCP
MAC
PHY WiGig MAC
WiGig PHY
Macro eNB
CNS-GW
S1-MME
RRC LTE-UE
Xw-CP
RLC
WiGig/WiFi-STA
RRC message
translator
X2APSCTP
IP
S1APSCTP
IP
IPSCTPS1AP IP
SCTPX2AP
Adaptor: Control signaling processor
Centralized radio resource management
MIM: multiple interface management
RT
WiFi MACWiFi PHY
……
WiFi APWiGig AP
? ?LLCIP
LLCIP
GLB metric feedback to MIM
C-Plane
mmMAGIC
Illustrations on test cases Video streaming between in WiGiG [IEEE CSCN 2015], power efficient MCS selection
in LOS/NLOS transitions Green Link budget metric
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Multi-RAT BICM and Power Efficient KPI Integration in reference ETSI RRS WG2 architectures
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Multilayer-Multi-RAT
Multi-connectivity
Low-Band integration
Note: mmMAGIC is looking on the architecture from the network perspective. ETSI RSS looks more from the mobile device perspective Multi-radio BICM
process
RVM
Radio link metric evaluation & computation
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Multi connectivity
- improving reliability Having established more than one connection is shortening the time needed to handle RLF
- supporting user mobility Having very dynamic channel conditions (especially in high frequencies) it is beneficial to organize cells in clusters and apply dynamic link selection/soft handover and involve core less frequently.
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Solutions: • affecting both Control- (e.g. RRC
diversity or control split between <6 GHz and mm-wave RATs) and User-Plane design (data duplication or split ).
• Extension of LTE Rel-12 DC (supporting RRC diversity and support for more than two MC radio legs) is envisioned and new splits e.g. in SeNB are considered.
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Efficient handling of control information Multi-band implementation on a single interface and multi-RAT configurations
Solutions Low-band can support mm-wave system by carrying selected control or system information. Control signals directly related to the physical properties of the transmission channel cannot be offloaded to low-band system
Multi-band system integration
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mmMAGIC
Systems are transposed in extended RF bands in accordance with multipath signature and system parameters. Example: Multi-band in FDD
New Path-loss models in interest bands to compute RSSI and PE multi-radio link adaptation metrics
IEEE802.11 ad/ay standard for multi-gigabit services operating in V and E bands
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Ch #B1 Ch #B2 Ch #B3 Ch #B4
2160 MHz
Vb
and
sE
ban
ds
Similar link level performance in V and E bands : IEEE802.11 ad +ay other UWB-OFDM systems
Investigate E-band - Higher power regulations - Create similar transmission channels - No oxygen absorption - - Propagation : ray tracing models in these bands
Multi-band system integration
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Further information
mmMAGIC website
https://5g-mmmagic.eu/
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D3.1 deliverable “Initial concepts on 5G architecture and integration”, WP3, March 2016, [6]
White paper “Architectural aspects of mm-wave radio access integration with 5G ecosystem” , April 2016, [1]
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Conclusions and perspectives
Pursue the work on convergent multi-RAT architectures between C/U plane separation in multi-RAN carrier aggregation and Mobile Devices
Multi-band system integration in coordination with WRC’19 RF bands for 5G
Integrate these concept in ETSI RRS work items as the Radio Interface Engine
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WORK PACKAGE 3
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References [1] mm-MAGIC white paper, “Architectural aspects of mm-wave radio access integration with 5G ecosystem”, https://bscw.5g-mmmagic.eu/pub/bscw.cgi/d100702/mm-wave_architecture_white_paper.pdf, April 2016 [2] I. Siaud, A.M. Ulmer-Moll, “Green Oriented Multi-Techno Link Adaptation metrics for 5G Heterogeneous Networks”, Eurasip Journal, Special Issue on Evolution of Radio Access Network Technologies towards 5G, http://jwcn.eurasipjournals.springeropen.com/articles/10.1186/s13638-016- 0588-2, April 2016 [3] I. Siaud, A.M. Ulmer-Moll, H. Peng, S. Nanba and K. Moriwaki, “C/U-plane splitting architectures and Inter-RAT management for Radio Reconfigurable Systems”, ETSI workshop on future radio technologies-air interfaces, http://www.etsi.org/news-events/events/1005-workshop-on-future-radio-technologies-air-interfaces, January 2016 [4] M. Mueck, V. Ivanov, S. Choi and all, “ETSI Spectrum Sharing and Software Reconfiguration Standards”, International Conf. SmartCom’2016, May 2016. [5 ] J. Dion, O. Weppe, S. Paquelet, “A generic and reconfigurable FEC Transceiver for Multi-RAT Platform”, ETSI workshop on future radio technologies-air interfaces, http://www.etsi.org/news-events/events/1005-workshop-on-future-radio-technologies-air-interfaces, January 2016
[6] 5GPP mm-MAGIC project, D3.1 deliverable, March 2016 https://bscw.5gmmmagic.eu/pub/bscw.cgi/d94809/D3.1_Initial_concepts_on_5G_architecture_and_integration.pdf
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