Theoretical performance evaluation of system capacity in multi-user MIMO THP with ordering

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    1 Citation (Scopus)

    Abstract

    This paper investigates the theoretical system capacity of MU-MIMO Tomlinson-Harashima precoding (THP) with the ordering process. In this paper, the impact of the modulo loss peculiar to THP on the system capacity is taken into account, which makes us recognize the significance of its impact comparing with the Shannon-Hartley-based results. Moreover, the ordering process generally performed before THP to enhance the system capacity is also considered in our performance analysis. In detail, the impact of the modulo loss is analyzed by using the mod-A channel, where the result of the V-BLAST-like suboptimum ordering is reflected as the power normalization factor. The proposed performance analysis considers these two actual effects, which provides a fair comparison between THP with ordering and linear precoding (LP) as well as the impact of the modulo loss, which has great potential to improve user scheduling techniques that require accurate measurements of the instantaneous system capacity.

    Original languageEnglish
    Title of host publication2018 Wireless Telecommunications Symposium, WTS 2018
    PublisherIEEE Computer Society
    Pages1-6
    Number of pages6
    Volume2018-April
    ISBN (Electronic)9781538633953
    DOIs
    Publication statusPublished - 2018 May 23
    Event17th Annual Wireless Telecommunications Symposium, WTS 2018 - Phoenix, United States
    Duration: 2018 Apr 182018 Apr 20

    Other

    Other17th Annual Wireless Telecommunications Symposium, WTS 2018
    CountryUnited States
    CityPhoenix
    Period18/4/1818/4/20

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    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Signal Processing

    Cite this

    Suganuma, H., Hiruma, N., & Maehara, F. (2018). Theoretical performance evaluation of system capacity in multi-user MIMO THP with ordering. In 2018 Wireless Telecommunications Symposium, WTS 2018 (Vol. 2018-April, pp. 1-6). IEEE Computer Society. https://doi.org/10.1109/WTS.2018.8363944