User/sampling point selection algorithm in multiuser MIMO-OFDM with fractional sampling

Kenta Eguchi, Haruki Higuchi, Yukitoshi Sanada

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

    Abstract

    This paper presents a user/sampling point selection algorithm for a multiuser MIMO-OFDM system with Fractional Sampling (FS). Through FS, it is possible to separate multipath components and obtain diversity gain in an OFDM system. Therefore, the capacity of the multiuser MIMO-OFDM system increases by 1-2 bit/sec/Hz. This paper also proposes a suboptimum sampling point selection algorithm. It is shown that the suboptimal algorithm shows the capacity close to that of the optimal one. However, when the oversampling ratio increases, the difference on the capacity also grows. Thus, there is a tradeoff between the computational complexity and the capacity improvement.

    Original languageEnglish
    Title of host publicationISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications
    Pages656-661
    Number of pages6
    DOIs
    Publication statusPublished - 2010 Dec 1
    Event2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010 - Taichung, Taiwan, Province of China
    Duration: 2010 Oct 172010 Oct 20

    Publication series

    NameISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications

    Other

    Other2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010
    Country/TerritoryTaiwan, Province of China
    CityTaichung
    Period10/10/1710/10/20

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Information Systems

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