Robust geometry-based user scheduling for large MIMO systems under realistic channel conditions

Manijeh Bashar, Alister G. Burr, Dick Maryopi, Katsuyuki Haneda, Kanapathippillai Cumanan

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

The problem of user scheduling with reduced overhead of channel estimation in the uplink of Massive multipleinput multiple-output (MIMO) systems has been considered. A geometry-based stochastic channel model (GSCM), called the COST 2100 channel model has been used for realistic analysis of channels. In this paper, we propose a new user selection algorithm based on knowledge of the geometry of the service area and location of clusters, without having full channel state information (CSI) at the base station (BS). The multiuser link correlation in the GSCMs arises from the common clusters in the area. The throughput depends on the position of clusters in the GSCMs and users in the system. Simulation results show that although the BS does not require the channel information of all users, by the proposed geometry-based user scheduling algorithm the sum-rate of the system is only slightly less than the well-known greedy weight clique scheme. Finally, the robustness of the proposed algorithm to the inaccuracy of cluster localization is verified by the simulation results.

Original languageEnglish
Title of host publicationEuropean Wireless 2018: 24th European Wireless Conference 2-4 May 2018, Catania, Italy
PublisherVDE Verlag
Pages242-247
Number of pages6
ISBN (Electronic)9783800745609
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventEuropean Wireless Conference - Catania, Italy
Duration: 2 May 20184 May 2018
Conference number: 24

Conference

ConferenceEuropean Wireless Conference
Abbreviated titleEW
CountryItaly
CityCatania
Period02/05/201804/05/2018

Keywords

  • Cluster localization
  • COST 2100 channel model
  • Geometry-based stochastic channel models
  • Massive MIMO
  • User scheduling
  • Zero-forcing

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