Performance Characterization of a Real-Time Massive MIMO System with LOS Mobile Channels

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

The first measured results for massive multiple input, multiple-output (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the inherent propagation and processing delay has a critical relationship with the rate of change, as the use of outdated channel information can result in severe detection and precoding inaccuracies.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 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.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • University of Bristol
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Elektroteknik och elektronik

Nyckelord

Originalspråkengelska
Sidor (från-till)1244-1253
Antal sidor10
TidskriftIEEE Journal on Selected Areas in Communications
StatusPublished - 2017 apr 12
PublikationskategoriForskning
Peer review utfördJa

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Relaterad forskningsoutput

Steffen Malkowsky, 2019 apr 17, Department of Electrical and Information Technology, Lund University. 178 s.

Forskningsoutput: AvhandlingDoktorsavhandling (monografi)

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