Spatial Separation of Closely-Spaced Users in Measured Massive Multi-User MIMO Channels

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Abstract

Fully-synchronous measurements of a massive multi-user multiple-input multiple-output (MU-MIMO) radio propagation channel are presented. We evaluate the ability of a massive MIMO system to spatially separate users located close to each other in line-of-sight (LOS) propagation conditions. The system consists of a base-station (BS) antenna array equipped with 64 dual-polarized antenna elements (128 ports) arranged
in a cylindrical configuration, and eight single-antenna users. The users are confined to a five-meter diameter circle and move randomly at pedestrian speeds. The BS antenna array is located on top of a 20 m tall building and has LOS to the users. We examine user separability by studying singular value spread
of the MU-MIMO channel matrix for several subsets of BS antenna array ports, along with sum-rate capacity and achievable sum-rates with both zero-forcing and matched-filtering linear precoders. We also analyze the performance of the user with the lowest rate. Finally, a comparison between the performance offered by the massive MIMO system and that of a conventional MU-MIMO system is provided. To the best of our knowledge, this is the first report of fully-synchronous dynamic measurements of a massive MIMO system. Our investigation shows that even users located close to each other in LOS propagation conditions can be spatially separated in a massive MIMO system.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Communications (ICC)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages1441-1446
Publication statusPublished - 2015
EventIEEE International Conference on Communications, ICC 2015 - London, U.K., London, United Kingdom
Duration: 2015 Jun 82015 Jun 12

Conference

ConferenceIEEE International Conference on Communications, ICC 2015
Country/TerritoryUnited Kingdom
CityLondon
Period2015/06/082015/06/12

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • multi-user multiple-input multiple-output systems
  • MU-MIMO
  • massive MIMO
  • large-scale MIMO
  • MIMO channel measurements
  • spatial separation
  • singular value spread
  • sum-rate capacity
  • sum-rate
  • linear precoder

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