System Throughput Analysis on Using Joint Detection in Distributed Antenna System

Haruya Ishikawa, Yukitoshi Sanada

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

    1 Citation (Scopus)

    Abstract

    Throughput analysis of the usage of joint maximum-likelihood detection (MLD) in a distributed antenna system (DAS) with multiple mobile terminal scheduling is evaluated in this paper. In DAS, mobile terminals are closer to desired antennas which improves system throughput and increases frequency utilization efficiency. However, since there are more antennas in a cell, interference can occur between transmitted signals from the antennas when multiple mobile terminals are scheduled. Therefore, we propose a novel mobile terminal scheduling method and the use of joint MLD to reduce the effects of interference. A system level simulation shows that the usage of joint MLD in densely packed DAS provides better system throughput.

    Original languageEnglish
    Title of host publication2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538663585
    DOIs
    Publication statusPublished - 2019 Apr 12
    Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
    Duration: 2018 Aug 272018 Aug 30

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2018-August
    ISSN (Print)1550-2252

    Conference

    Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
    CountryUnited States
    CityChicago
    Period18/8/2718/8/30

    Keywords

    • Distributed Antenna System
    • Joint Detection

    ASJC Scopus subject areas

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

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  • Cite this

    Ishikawa, H., & Sanada, Y. (2019). System Throughput Analysis on Using Joint Detection in Distributed Antenna System. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings [8690889] (IEEE Vehicular Technology Conference; Vol. 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2018.8690889