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Massive MIMO:
A Key Enabler for sub-6GHz Wireless Connectivity
Professor Mark Beach (and colleagues)
Communication and Networks Group,
University of Bristol, Bristol. UK
http://www.bristol.ac.uk/engineering/research/csn/
IET Towards 5G Mobile Technology – Vision to Reality
Wednesday 25th January 2017
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Summary
• 5G and why Massive MIMO
• Multiple Access through
Massive MIMO
• Test-bed architecture
• Field Trials exploring gains in
Spectrum Efficiency
• Need for Power Control
• Initial Mobility Trials
• Open Research Questions
2
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
5G: The Networked Society
• Broadband experience: everywhere; anytime
• Smart vehicles, transport & infrastructure
Target Specs:
• 10Gbit/s Peak, 100Mbit/s where ever needed
• X100 – x1000 Capacity
• X10 battery life
• Reduced Latency (1ms)
• 5G Requires
• New Spectrum …… Millimetre wave bands
• Enhanced Spectrum Efficiency .. Massive MIMO for sub-6GHz
3
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
What is Massive MIMO & Why?
4
Basestation or Access Point
> 50 (M) antennas serving a few (K) users (simultaneously)
Simple Signal Processing, power and spectrum efficient (sub-6GHz)
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Some Clarity on Definitions
5
Millimetre Wave 5G Access:
Massive Arrays for
Beamforming Array Gain
Analogue Phase control
Sub 6GHz: Massive Arrays with
Signal Processing per element for
enhanced Spectrum Efficiency
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Massive MIMO and Capacity Gain
6
Ultimate Spatial
Resolution
• Increased spectral efficiency and network capacity
• Accurate spatial multiplexing for multiple access
• Same Radio Channel, Same time (slot)
Time
Space
Uplink Downlink
Uplink
Uplink
Uplink
Downlink
Downlink
Downlink
Cellular View
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
NI Based ‘BIO’ Massive MIMO test-bed
• 128 Programmable
Radio Heads
• 20MHz Bandwidth
• ‘LTE’ like interface
• 1.2 – 6.0GHz Carrier
• 3.51GHz used
• 4 Racks of 32 Radios
• Data consolidation
• Channel processing
• 24 Clients
• Massive MIMO signal
processing supporting
• 12 clients
7
Bristol is Open (BIO):
Open Programmable City
Not for Profit Joint Venture Bristol City Council & University of Bristol
8
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Massive MIMO subsystem architecture
9
Distributed FPGA Processing with PCIe links
Embedded
Computer
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
First System Deployment
10
• Indoor Atrium (University of Bristol, Merchant Venturers
Engineering Building
• 5.4m Linear Array with half-wavelength spacing
• LOS Conditions
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
First System Deployment (March 2016)
11
• Client Separation 2.5 - 6 Wavelengths
• Equal Transmit Power
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Our first results (10th March 2016):
12
Eigen
Structure
Individual Spatial Stream Rx Magnitude
Power Delay profiles
Frequency Domain profiles
12 streams of 256 QAM!
http://www.bristol.ac.uk/news/2016/march/massive-mimo.htmlCOST IRACON TD(16)0185 Paul Harris
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Lots of Antennas 𝑯𝑯 𝑯
(12 users, scaled by N)
13
Scenario 2 (12.5m Straight Line)
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
CDF Plots of Singular Value Spreads
14
Scenario 1-3 in ascending order of LOS distance
LOS worst
scenario for
32 elements
Paul Harris et al, ‘LOS Throughput Measurements in Real-Time with a 128-Antenna
Massive MIMO Testbed’ IEEE Globecom, Wasington DC, Dec 2016
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Facebook & Massive MIMO (13th April 2016)
• ARIES (Antenna Radio
Integration for Efficiency in
Spectrum)
• Rural wireless Internet
• Specifications & Efficiency
• 96 antenna element array
• 24 users
• 71 bits/s/Hz
15
http://www.wired.com/2016/04/facebooks-massive-new-antennas-can-beam-internet-miles/
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
2nd Deployment (Wed 11th May 2016)
16
22 users running 256 QAM in 20MHz Channel
Using same frame structure as before:
• 145.6 bits/s/Hz
• Sum rate of 2.915 Gbps
http://spectrum.ieee.org/tech-talk/telecom/wireless/5g-researchers-achieve-new-spectrum-efficiency-record
http://www.bris.ac.uk/news/2016/may/5g-wireless-spectrum-efficiency.html
User
Inactive
User
Inactive
128 element (32 x 4)
dual polar patch array
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Why Power Control?
17
User
1
User
2
User
3
… User
K
ReceivedPower
• Users communicate using:
• Same Radio Channel
• At the same time (slot)
ONLY separated through spatial-
temporal signal processing
• Due to finite dynamic range
• Near-far effect (like CDMA)
• For Massive MIMO exploit
• Channel Hardening
• (Minimise) Mutual Interference
Within Power Control Algorithm
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Channel Hardening
• The experiment environment where only 32 antennas were active at the
BS for the measurements.
18
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Motion & channel hardening
Eigenvalue
𝐈 𝐓𝐡 = 16%
• M = 112 & UEs =12
• With motion between array & users
19
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
4 UEs
4 UEs 4 UEs
Massive MIMO Array
20
2nd Deployment with Power Control
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
4
UEs 4
UEs
4
UEs
Massive MIMO Array
21
COST IRACON TD(16)0184
Wael Boukley Hasan
2nd Deployment with Power Control
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
On-going: Mobility Trials & Analysis
22
@Bristol @Lund
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Open Research Questions
23
Scalability, Multi-cell – massive MIMO
(Pilot Contamination), Power Control
Integration using Software-defined networking (SDN)
Antenna Element Design, Polarisation,
Array Geometry, Planning Tools
Algorithm Optimisation: Dense Urban Vs Rural,
plus Specialist Deployments
U
E
1
U
E
2
Reduced
SINR
700MHz
Control
plane
3.5GHz
m-MIMO
Data-plane
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
Acknowledgements and Thanks to …
• Academic Colleagues at Bristol: Andrew Nix, Evangelos Mellios, Angela Doufexi and
Simon Armour
• Post Graduate Students: Paul Harris, Wael Boukley Hasan, Siming Zhang, Henry Brice,
Benny Chitambira, & Fred Wiffen
• Academic Colleagues at Lund University: Ove Edfors, Fredrik Tufvesson & Liang Liu,
post graduates Steffan Malkowsky, Joao Vieira, Erik Bengtsson,…..
• NI Staff Leif Johansson, Karl Nieman Ian Wong & James Kimery
24
Any Questions?
Communication Systems & Networks Group
University of Bristol © CSN Group 2017
CSN & Uni Lund “Video of the month”
25
http://www.bristol.ac.uk/engineering/research/csn/
https://www.youtube.com/watch?v=wPPMrr4rHmo

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Massive MIMO

  • 1. Massive MIMO: A Key Enabler for sub-6GHz Wireless Connectivity Professor Mark Beach (and colleagues) Communication and Networks Group, University of Bristol, Bristol. UK http://www.bristol.ac.uk/engineering/research/csn/ IET Towards 5G Mobile Technology – Vision to Reality Wednesday 25th January 2017
  • 2. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Summary • 5G and why Massive MIMO • Multiple Access through Massive MIMO • Test-bed architecture • Field Trials exploring gains in Spectrum Efficiency • Need for Power Control • Initial Mobility Trials • Open Research Questions 2
  • 3. Communication Systems & Networks Group University of Bristol © CSN Group 2017 5G: The Networked Society • Broadband experience: everywhere; anytime • Smart vehicles, transport & infrastructure Target Specs: • 10Gbit/s Peak, 100Mbit/s where ever needed • X100 – x1000 Capacity • X10 battery life • Reduced Latency (1ms) • 5G Requires • New Spectrum …… Millimetre wave bands • Enhanced Spectrum Efficiency .. Massive MIMO for sub-6GHz 3
  • 4. Communication Systems & Networks Group University of Bristol © CSN Group 2017 What is Massive MIMO & Why? 4 Basestation or Access Point > 50 (M) antennas serving a few (K) users (simultaneously) Simple Signal Processing, power and spectrum efficient (sub-6GHz)
  • 5. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Some Clarity on Definitions 5 Millimetre Wave 5G Access: Massive Arrays for Beamforming Array Gain Analogue Phase control Sub 6GHz: Massive Arrays with Signal Processing per element for enhanced Spectrum Efficiency
  • 6. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Massive MIMO and Capacity Gain 6 Ultimate Spatial Resolution • Increased spectral efficiency and network capacity • Accurate spatial multiplexing for multiple access • Same Radio Channel, Same time (slot) Time Space Uplink Downlink Uplink Uplink Uplink Downlink Downlink Downlink Cellular View
  • 7. Communication Systems & Networks Group University of Bristol © CSN Group 2017 NI Based ‘BIO’ Massive MIMO test-bed • 128 Programmable Radio Heads • 20MHz Bandwidth • ‘LTE’ like interface • 1.2 – 6.0GHz Carrier • 3.51GHz used • 4 Racks of 32 Radios • Data consolidation • Channel processing • 24 Clients • Massive MIMO signal processing supporting • 12 clients 7
  • 8. Bristol is Open (BIO): Open Programmable City Not for Profit Joint Venture Bristol City Council & University of Bristol 8
  • 9. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Massive MIMO subsystem architecture 9 Distributed FPGA Processing with PCIe links Embedded Computer
  • 10. Communication Systems & Networks Group University of Bristol © CSN Group 2017 First System Deployment 10 • Indoor Atrium (University of Bristol, Merchant Venturers Engineering Building • 5.4m Linear Array with half-wavelength spacing • LOS Conditions
  • 11. Communication Systems & Networks Group University of Bristol © CSN Group 2017 First System Deployment (March 2016) 11 • Client Separation 2.5 - 6 Wavelengths • Equal Transmit Power
  • 12. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Our first results (10th March 2016): 12 Eigen Structure Individual Spatial Stream Rx Magnitude Power Delay profiles Frequency Domain profiles 12 streams of 256 QAM! http://www.bristol.ac.uk/news/2016/march/massive-mimo.htmlCOST IRACON TD(16)0185 Paul Harris
  • 13. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Lots of Antennas 𝑯𝑯 𝑯 (12 users, scaled by N) 13 Scenario 2 (12.5m Straight Line)
  • 14. Communication Systems & Networks Group University of Bristol © CSN Group 2017 CDF Plots of Singular Value Spreads 14 Scenario 1-3 in ascending order of LOS distance LOS worst scenario for 32 elements Paul Harris et al, ‘LOS Throughput Measurements in Real-Time with a 128-Antenna Massive MIMO Testbed’ IEEE Globecom, Wasington DC, Dec 2016
  • 15. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Facebook & Massive MIMO (13th April 2016) • ARIES (Antenna Radio Integration for Efficiency in Spectrum) • Rural wireless Internet • Specifications & Efficiency • 96 antenna element array • 24 users • 71 bits/s/Hz 15 http://www.wired.com/2016/04/facebooks-massive-new-antennas-can-beam-internet-miles/
  • 16. Communication Systems & Networks Group University of Bristol © CSN Group 2017 2nd Deployment (Wed 11th May 2016) 16 22 users running 256 QAM in 20MHz Channel Using same frame structure as before: • 145.6 bits/s/Hz • Sum rate of 2.915 Gbps http://spectrum.ieee.org/tech-talk/telecom/wireless/5g-researchers-achieve-new-spectrum-efficiency-record http://www.bris.ac.uk/news/2016/may/5g-wireless-spectrum-efficiency.html User Inactive User Inactive 128 element (32 x 4) dual polar patch array
  • 17. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Why Power Control? 17 User 1 User 2 User 3 … User K ReceivedPower • Users communicate using: • Same Radio Channel • At the same time (slot) ONLY separated through spatial- temporal signal processing • Due to finite dynamic range • Near-far effect (like CDMA) • For Massive MIMO exploit • Channel Hardening • (Minimise) Mutual Interference Within Power Control Algorithm
  • 18. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Channel Hardening • The experiment environment where only 32 antennas were active at the BS for the measurements. 18
  • 19. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Motion & channel hardening Eigenvalue 𝐈 𝐓𝐡 = 16% • M = 112 & UEs =12 • With motion between array & users 19
  • 20. Communication Systems & Networks Group University of Bristol © CSN Group 2017 4 UEs 4 UEs 4 UEs Massive MIMO Array 20 2nd Deployment with Power Control
  • 21. Communication Systems & Networks Group University of Bristol © CSN Group 2017 4 UEs 4 UEs 4 UEs Massive MIMO Array 21 COST IRACON TD(16)0184 Wael Boukley Hasan 2nd Deployment with Power Control
  • 22. Communication Systems & Networks Group University of Bristol © CSN Group 2017 On-going: Mobility Trials & Analysis 22 @Bristol @Lund
  • 23. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Open Research Questions 23 Scalability, Multi-cell – massive MIMO (Pilot Contamination), Power Control Integration using Software-defined networking (SDN) Antenna Element Design, Polarisation, Array Geometry, Planning Tools Algorithm Optimisation: Dense Urban Vs Rural, plus Specialist Deployments U E 1 U E 2 Reduced SINR 700MHz Control plane 3.5GHz m-MIMO Data-plane
  • 24. Communication Systems & Networks Group University of Bristol © CSN Group 2017 Acknowledgements and Thanks to … • Academic Colleagues at Bristol: Andrew Nix, Evangelos Mellios, Angela Doufexi and Simon Armour • Post Graduate Students: Paul Harris, Wael Boukley Hasan, Siming Zhang, Henry Brice, Benny Chitambira, & Fred Wiffen • Academic Colleagues at Lund University: Ove Edfors, Fredrik Tufvesson & Liang Liu, post graduates Steffan Malkowsky, Joao Vieira, Erik Bengtsson,….. • NI Staff Leif Johansson, Karl Nieman Ian Wong & James Kimery 24 Any Questions?
  • 25. Communication Systems & Networks Group University of Bristol © CSN Group 2017 CSN & Uni Lund “Video of the month” 25 http://www.bristol.ac.uk/engineering/research/csn/ https://www.youtube.com/watch?v=wPPMrr4rHmo