Performance evaluation of MU-MIMO THP with user scheduling in terms of system capacity and fairness

Yukiko Shimbo, Nobuhiro Hiruma, Fumiaki Maehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents the performance evaluation of multi-user MIMO (MU-MIMO) employing Tomlinson Harashima precoding (THP) in consideration of user scheduling techniques from the viewpoint of system capacity and fairness. In this paper, the ordering process is adopted for THP, and both semiorthogonal user selection (SUS) and proportional fairness (PF) are considered as user scheduling techniques. Their opposite characteristics make it possible to establish the degree of matching between precoding and user scheduling techniques. The system-level performance with unequal CNR users is evaluated through computer simulations, and it is compared with the performance of linear precoding (LP).

Original languageEnglish
Title of host publication2017 International Symposium on Antennas and Propagation, ISAP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
Volume2017-January
ISBN (Electronic)9781538604656
DOIs
Publication statusPublished - 2017 Dec 19
Event2017 International Symposium on Antennas and Propagation, ISAP 2017 - Phuket, Thailand
Duration: 2017 Oct 302017 Nov 2

Other

Other2017 International Symposium on Antennas and Propagation, ISAP 2017
CountryThailand
CityPhuket
Period17/10/3017/11/2

Keywords

  • component
  • fairness index (FI)
  • MU-MIMO THP
  • proportional fairness (PF)
  • semiorthogonal user selection (SUS)
  • system capacity

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

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    Shimbo, Y., Hiruma, N., & Maehara, F. (2017). Performance evaluation of MU-MIMO THP with user scheduling in terms of system capacity and fairness. In 2017 International Symposium on Antennas and Propagation, ISAP 2017 (Vol. 2017-January, pp. 1-2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISANP.2017.8228867