Downlink capacity comparison of MMSE-SVD and BD-SVD for cooperative distributed antenna transmission using multi-user scheduling

Yuta Seki, Fumiyuki Adachi

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

    1 Citation (Scopus)

    Abstract

    Cooperative distributed antenna transmission (CDAT) is a promising transmission technique to achieve a high link capacity by exploiting the spatial distribution of antennas over a macro-cell area. Recently, we proposed a minimum mean square error filtering combined with singular value decomposition (MMSE-SVD) for multi-user spatial multiplexing and showed that it can achieve higher sum capacity with lower computational complexity than BD-SVD which applies SVD after block diagonalization (BD). When using multi-user scheduling, the link capacity of MU-MIMO is affected by the combination of spatially multiplexed user equipments (UEs). In this paper, we evaluate by computer simulation the OFDM downlink capacities of MMSE-SVD and BD-SVD considering three types of multiuser scheduling (Max-SNR, Proportional Fair (PF) and Round Robin (RR)). We show that the MMSE-SVD can achieve higher link capacity with higher fairness than BD-SVD.

    Original languageEnglish
    Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-5
    Number of pages5
    ISBN (Electronic)9781509059355
    DOIs
    Publication statusPublished - 2018 Feb 8
    Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
    Duration: 2017 Sep 242017 Sep 27

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2017-September
    ISSN (Print)1550-2252

    Other

    Other86th IEEE Vehicular Technology Conference, VTC Fall 2017
    Country/TerritoryCanada
    CityToronto
    Period17/9/2417/9/27

    Keywords

    • Cooperative signal transmission
    • Distributed antenna
    • Downlink
    • MU-MIMO
    • Multi-user scheduling

    ASJC Scopus subject areas

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

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