Abstract
The first measured results for massive multiple-input, multiple-output (MIMO) performance in a line-of-sight scenario with moderate mobility are presented, with eight users served in real time using a 100-antenna base station at 3.7 GHz. When such a large number of channels dynamically change, the inherent propagation and processing delay has a critical relationship with the rate of change, as the use of outdated channel information can result in severe detection and precoding inaccuracies. For the downlink (DL) in particular, a time-division duplex configuration synonymous with massive MIMO deployments could mean only the uplink (UL) is usable in extreme cases. Therefore, it is of great interest to investigate the impact of mobility on massive MIMO performance and consider ways to combat the potential limitations. In a mobile scenario with moving cars and pedestrians, the massive MIMO channel is sampled across many points in space to build a picture of the overall user orthogonality, and the impact of both azimuth and elevation array configurations are considered. Temporal analysis is also conducted for vehicles moving up to 29 km/h and real-time bit-error rates for both the UL and DL without power control are presented. For a 100-antenna system, it is found that the channel state information update rate requirement may increase by seven times when compared with an eight-antenna system, whilst the power control update rate could be decreased by at least five times relative to a single antenna system.
| Original language | English |
|---|---|
| Article number | 7896533 |
| Pages (from-to) | 1244-1253 |
| Number of pages | 10 |
| Journal | IEEE Journal on Selected Areas in Communications |
| Volume | 35 |
| Issue number | 6 |
| Early online date | 12 Apr 2017 |
| DOIs | |
| Publication status | Published - Jun 2017 |
Keywords
- Massive MIMO
- 5G
- Testbed
- Field Trial
- Mobility
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Dive into the research topics of 'Performance characterization of a real-time massive MIMO system with LOS mobile channels'. Together they form a unique fingerprint.Research output
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Achievable rates and training overheads for a measured LOS massive MIMO channel
Harris, P., Boukley Hasan, W., Liu, L., Malkowsky, S., Beach, M., Armour, S., Tufvesson, F. & Edfors, O., Aug 2018, In: IEEE Wireless Communications Letters. 7, 4, p. 594-597 4 p., 8274927.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile7 Citations (Scopus)380 Downloads (Pure) -
An Overview of Massive MIMO Research at the University of Bristol
Harris, P., Boukley Hasan, W., Brice, H., Chitambira, B., Beach, M., Mellios, E., Nix, A., Armour, S. & Doufexi, A., 16 Jan 2017, Radio Propagation and Technologies for 5G (2016). Institution of Engineering and Technology (IET), 5 p. 64Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile4 Citations (Scopus)578 Downloads (Pure) -
LOS Throughput Measurements in Real-Time with a 128-Antenna Massive MIMO Testbed
Harris, P., Zhang, S., Beach, M., Mellios, E., Nix, A., Armour, S., Doufexi, A., Nieman, K. & Kundargi, N., May 2017, 2016 IEEE Global Communications Conference (GLOBECOM 2016): Proceedings of a meeting held 4-8 December 2016, Washington, DC, USA. Institute of Electrical and Electronics Engineers (IEEE), 7 p. 7841965Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile25 Citations (Scopus)582 Downloads (Pure)
Profiles
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Professor Mark A Beach
- School of Electrical, Electronic and Mechanical Engineering - Professor of Radio Systems Engineering
- Communication Systems and Networks
Person: Academic , Member
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