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IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
LOS Throughput Measurements in Real-Time
with a 128-Antenna Massive MIMO Testbed
Paul Harris
Siming Zhang, Mark Beach, Evangelos Mellios, Andrew Nix, Simon Armour, Angela Doufexi, Karl Nieman, Nikhil Kundargi
Communication Systems and Networks Group
University of Bristol, Bristol, UK
http://www.bristol.ac.uk/engineering/research/csn/
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Summary
• System Overview
• Measurement Setup
• Experimental Results
• Conclusions
• Ongoing Work
2
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
The Massive MIMO Concept
3
Ultimate Spatial
Resolution
• Increased spectral efficiency and network capacity
• Accurate spatial multiplexing
Time
Space
Uplink Downlink
Uplink
Uplink
Uplink
Downlink
Downlink
Downlink
Cellular View
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
NI Based ‘BIO’ Massive MIMO test-bed
4
• 128 Programmable Radio Heads (4
racks of 32 radios)
• ‘TD-LTE’ like PHY (20 MHz BW)
• 1.2 – 6.0GHz Carrier (3.51GHz used)
• Centralised MMSE, ZF and MRC/MRT
MIMO Processing
• Supports up to 12 User Clients (Full
FPGA Processing)
• 24 user clients (decimated processing)
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Functional Overview
5
Distributed FPGA Processing with PCIe links Compact Computer
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Linear Decoding/Precoding
6
• MGS Full QR
Decomposition
• Partial parallel systolic
array
• One detection matrix
per 12 subcarrier
resource block
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
MIMO Processor
• Wide Data Path 128 x 12 Linear Detector
• Computes 128 x 12 by 128 x 1 matrix vector
multiply in 160 ns
• 24 Million times per second
7
𝒚𝑾 𝑴𝑴𝑺𝑬
12 x 128
128 x 1
× = = 𝒖
12 x 1
32 x 1 (4)12 x 32 (4)
𝑾 𝑴𝑴𝑺𝑬 𝟎
𝑾 𝑴𝑴𝑺𝑬 𝟏
𝑾 𝑴𝑴𝑺𝑬 𝟐
𝑾 𝑴𝑴𝑺𝑬 𝟑
𝒚 𝟎
𝒚 𝟏
𝒚 𝟐
𝒚 𝟑
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Frame Schedule
8
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Initial Indoor Deployment
9
• 5.4m Linear Array with half-
wavelength spacing
• Client Separation 2.5 – 6 λ
• Equal and fixed UE Tx Gains
• “LOS” Conditions
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Initial Indoor Deployment
10
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
CDF Plots of SVS
11
Scenario 1-3 in ascending order of LOS distance. 200ms capture interval for 3 minutes. Averaged across frequency.
Exploitation
of azimuth
spread Closest
scenario is
the worst for
32 elements
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
𝑯𝑯 𝑯
for 12 users with scaled N
12
Scenario 2 (12.5m Straight Line). 200ms capture interval for 3 minutes. Averaged across frequency and time.
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Real-Time Channel Information
13
Eigen
Structure
Individual Spatial Stream Rx Magnitude
Power Delay profiles
Frequency Domain profiles
Fading over the
array caused by
stairwell
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
12 Streams of 256-QAM
14
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
2nd Phase Deployment (11th May 2016)
15
24.8m
3.51 GHz Patch Array
24 UEs
2.5λ spacing
Presented at SiPS 2016, Dallas.
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
22 User Gram Matrix
16
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
22 Streams of 256-QAM
• With the same frame structure as before this equates
to 145.6 bits/s/Hz (uncoded sum rate of 2.915 Gbps)
17
User
Inactive
User
Inactive
131 bits/s/Hz
144 bits/s/Hz
145.7 bits/s/Hz
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Conclusions
• Average ratio of composite channel gain to inter-user
correlation observed to be 10 dB or more for a ratio of up
to 6:1 basestation antennas to users
• Azimuth dominated array configurations could improve
close range LOS performance
18
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Ongoing Work
19
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Acknowledgements and Thanks to…
• Post Graduate Students: Wael Boukley Hasan, Siming Zhang, Henry
Brice & Benny Chitambira
• Academic Colleagues & post graduates at Lund University: Steffen
Malkowsky, Joao Vieira, Liang Liu, Ove Edfurs & Fredrik Tufvesson
• Academic Colleagues at Bristol: Mark Beach, Andrew Nix, Evangelos
Mellios, Angela Doufexi and Simon Armour
• NI Staff: Karl Nieman, Nikhil Kundargi, Ian Wong, Leif Johansson &
James Kimery
20
IEEE Globecom, WCS.10: Channel Measurements and Modeling
5th December 2016, Washington D.C.
Thank You
Any questions?
Communication Systems and Networks Group
University of Bristol, Bristol, UK
http://www.bristol.ac.uk/engineering/research/csn/

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LOS Throughput Measurements in Real-Time with a 128-Antenna Massive MIMO Testbed

  • 1. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. LOS Throughput Measurements in Real-Time with a 128-Antenna Massive MIMO Testbed Paul Harris Siming Zhang, Mark Beach, Evangelos Mellios, Andrew Nix, Simon Armour, Angela Doufexi, Karl Nieman, Nikhil Kundargi Communication Systems and Networks Group University of Bristol, Bristol, UK http://www.bristol.ac.uk/engineering/research/csn/
  • 2. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Summary • System Overview • Measurement Setup • Experimental Results • Conclusions • Ongoing Work 2
  • 3. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. The Massive MIMO Concept 3 Ultimate Spatial Resolution • Increased spectral efficiency and network capacity • Accurate spatial multiplexing Time Space Uplink Downlink Uplink Uplink Uplink Downlink Downlink Downlink Cellular View
  • 4. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. NI Based ‘BIO’ Massive MIMO test-bed 4 • 128 Programmable Radio Heads (4 racks of 32 radios) • ‘TD-LTE’ like PHY (20 MHz BW) • 1.2 – 6.0GHz Carrier (3.51GHz used) • Centralised MMSE, ZF and MRC/MRT MIMO Processing • Supports up to 12 User Clients (Full FPGA Processing) • 24 user clients (decimated processing)
  • 5. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Functional Overview 5 Distributed FPGA Processing with PCIe links Compact Computer
  • 6. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Linear Decoding/Precoding 6 • MGS Full QR Decomposition • Partial parallel systolic array • One detection matrix per 12 subcarrier resource block
  • 7. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. MIMO Processor • Wide Data Path 128 x 12 Linear Detector • Computes 128 x 12 by 128 x 1 matrix vector multiply in 160 ns • 24 Million times per second 7 𝒚𝑾 𝑴𝑴𝑺𝑬 12 x 128 128 x 1 × = = 𝒖 12 x 1 32 x 1 (4)12 x 32 (4) 𝑾 𝑴𝑴𝑺𝑬 𝟎 𝑾 𝑴𝑴𝑺𝑬 𝟏 𝑾 𝑴𝑴𝑺𝑬 𝟐 𝑾 𝑴𝑴𝑺𝑬 𝟑 𝒚 𝟎 𝒚 𝟏 𝒚 𝟐 𝒚 𝟑
  • 8. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Frame Schedule 8
  • 9. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Initial Indoor Deployment 9 • 5.4m Linear Array with half- wavelength spacing • Client Separation 2.5 – 6 λ • Equal and fixed UE Tx Gains • “LOS” Conditions
  • 10. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Initial Indoor Deployment 10
  • 11. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. CDF Plots of SVS 11 Scenario 1-3 in ascending order of LOS distance. 200ms capture interval for 3 minutes. Averaged across frequency. Exploitation of azimuth spread Closest scenario is the worst for 32 elements
  • 12. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. 𝑯𝑯 𝑯 for 12 users with scaled N 12 Scenario 2 (12.5m Straight Line). 200ms capture interval for 3 minutes. Averaged across frequency and time.
  • 13. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Real-Time Channel Information 13 Eigen Structure Individual Spatial Stream Rx Magnitude Power Delay profiles Frequency Domain profiles Fading over the array caused by stairwell
  • 14. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. 12 Streams of 256-QAM 14
  • 15. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. 2nd Phase Deployment (11th May 2016) 15 24.8m 3.51 GHz Patch Array 24 UEs 2.5λ spacing Presented at SiPS 2016, Dallas.
  • 16. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. 22 User Gram Matrix 16
  • 17. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. 22 Streams of 256-QAM • With the same frame structure as before this equates to 145.6 bits/s/Hz (uncoded sum rate of 2.915 Gbps) 17 User Inactive User Inactive 131 bits/s/Hz 144 bits/s/Hz 145.7 bits/s/Hz
  • 18. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Conclusions • Average ratio of composite channel gain to inter-user correlation observed to be 10 dB or more for a ratio of up to 6:1 basestation antennas to users • Azimuth dominated array configurations could improve close range LOS performance 18
  • 19. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Ongoing Work 19
  • 20. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Acknowledgements and Thanks to… • Post Graduate Students: Wael Boukley Hasan, Siming Zhang, Henry Brice & Benny Chitambira • Academic Colleagues & post graduates at Lund University: Steffen Malkowsky, Joao Vieira, Liang Liu, Ove Edfurs & Fredrik Tufvesson • Academic Colleagues at Bristol: Mark Beach, Andrew Nix, Evangelos Mellios, Angela Doufexi and Simon Armour • NI Staff: Karl Nieman, Nikhil Kundargi, Ian Wong, Leif Johansson & James Kimery 20
  • 21. IEEE Globecom, WCS.10: Channel Measurements and Modeling 5th December 2016, Washington D.C. Thank You Any questions? Communication Systems and Networks Group University of Bristol, Bristol, UK http://www.bristol.ac.uk/engineering/research/csn/