An efficient user selection technique for full-duplex MU-MISO systems

  • Minki Ahn
  • , Han Bae Kong
  • , Hun Min Shin
  • , Hoon Lee
  • , Inkyu Lee

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

    1 Citation (Scopus)

    Abstract

    In this paper, we propose a new user selection algorithm for full-duplex (FD) multiuser multiple-input single-output (MU-MISO) systems where a FD base station (BS) communicates with multiple half-duplex (HD) users in both downlink and uplink channels simultaneously. Due to self-interference at the BS and co-channel interference among users, a joint downlink and uplink user selection to maximize system performance incurs high search complexity. To reduce the complexity, we introduce a two step user selection algorithm which successively chooses downlink users followed by uplink users based on the decomposed sum rate of the FD systems. From the numerical results, we confirm that the proposed user selection algorithm for the FD MU systems exhibits a small performance loss compared to the optimal user selection algorithm with much reduced complexity.

    Original languageEnglish
    Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509017010
    DOIs
    Publication statusPublished - 2016 Jul 2
    Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
    Duration: 2016 Sept 182016 Sept 21

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume0
    ISSN (Print)1550-2252

    Other

    Other84th IEEE Vehicular Technology Conference, VTC Fall 2016
    Country/TerritoryCanada
    CityMontreal
    Period16/9/1816/9/21

    Bibliographical note

    Funding Information:
    This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea Government (MSIP) under Grant 2014R1A2A1A10049769.

    Publisher Copyright:
    © 2016 IEEE.

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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