Abstract | ||
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This paper presents preliminary results for a novel 128-antenna massive Multiple-Input, Multiple-Output (MIMO) testbed developed through Bristol Is Open in collaboration with National Instruments and Lund University. We believe that the results presented here validate the adoption of massive MIMO as a key enabling technology for 5G and pave the way for further pragmatic research by the massive MIMO community. The testbed operates in real-time with a Long-Term Evolution (LTE)-like PHY in Time Division Duplex (TDD) mode and supports up to 24 spatial streams, providing an excellent basis for comparison with existing standards and complimentary testbeds. Through line-of-sight (LOS) measurements at 3.51 GHz in an indoor atrium environment with 12 user clients, an uncoded system sum-rate of 1.59 Gbps was achieved in real-time using a single 20 MHz LTE band, equating to 79.4 bits/s/Hz. In a subsequent indoor trial, 22 user clients were successfully served, which would equate to 145.6 bits/s/Hz using the same frame schedule. To the best of the author's knowledge, these are the highest spectral efficiencies achieved for any wireless system to date. |
Year | DOI | Venue |
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2016 | 10.1109/SiPS.2016.54 | 2016 IEEE International Workshop on Signal Processing Systems (SiPS) |
Keywords | Field | DocType |
Massive MIMO,Testbed,Field Trial,Indoor,5G | Computer architecture,3G MIMO,Wireless,Computer science,Testbed,MIMO,Computer network,Real-time computing,PHY,Spatial multiplexing | Conference |
ISBN | Citations | PageRank |
978-1-5090-3362-1 | 0 | 0.34 |
References | Authors | |
0 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Paul Harris | 1 | 32 | 4.43 |
Wael Boukley Hassan | 2 | 0 | 0.34 |
Steffen Malkowsky | 3 | 37 | 4.80 |
Joao Vieira | 4 | 55 | 6.00 |
siming zhang | 5 | 3 | 2.09 |
Mark A. Beach | 6 | 189 | 39.23 |
Liang Liu | 7 | 95 | 18.47 |
Evangelos Mellios | 8 | 198 | 19.72 |
Andrew R. Nix | 9 | 786 | 105.20 |
Simon Armour | 10 | 51 | 10.83 |
Angela Doufexi | 11 | 510 | 66.97 |
Karl F. Nieman | 12 | 33 | 3.22 |
Nikhil Kundargi | 13 | 49 | 7.60 |