Performance Characterization of a Real-Time Massive MIMO System with LOS Mobile Channels
January 30, 2017 Β· Declared Dead Β· π IEEE Journal on Selected Areas in Communications
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Authors
Paul Harris, Steffen Malkowsky, Joao Vieira, Fredrik Tufvesson Wael Boukley Hassan, Liang Liu, Mark Beach, Simon Armour, Ove Edfors
arXiv ID
1701.08818
Category
cs.IT: Information Theory
Citations
88
Venue
IEEE Journal on Selected Areas in Communications
Last Checked
4 months ago
Abstract
The first measured results for massive MIMO performance in a line-of-sight (LOS) scenario with moderate mobility are presented, with 8 users served in real-time using a 100-antenna base Station (BS) 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the inherent propagation and processing delay has a critical relationship with the rate of change, as the use of outdated channel information can result in severe detection and precoding inaccuracies.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 (TDD) configuration synonymous with massive multiple-input, multiple-output (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 29km/h and real-time bit error rates (BERs) for both the UL and DL without power control are presented. For a 100-antenna system, it is found that the channel state information (CSI) update rate requirement may increase by 7 times when compared to an 8-antenna system, whilst the power control update rate could be decreased by at least 5 times relative to a single antenna system.
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