A study on UE clustering and antenna selection for distributed MIMO cooperative transmission using multi-user MMSE-SVD

Yuta Seki, Tomoyuki Saito, Fumiyuki Adachi

    研究成果: Conference contribution

    4 被引用数 (Scopus)

    抄録

    Distributed multiple-input multiple-output (MIMO) is a type of the centralized radio access network (C-RAN) to achieve a high link capacity uniformly over the service area. A large-scale distributed MIMO requires prohibitively high computational complexity. Clustering of user equipments (UEs) can reduce the computational complexity, however, this produces the inter-cluster interference (ICI). In this paper, we propose the UE clustering and antenna selection beyond the cluster boundary assuming multi-user minimum mean square error filtering combined with singular value decomposition (MMSE-SVD). We exploit the multiplexing-diversity tradeoff in MMSE-SVD to suppress effectively the ICI while keeping the multi-user multiplexing capability. It is shown that the proposed UE clustering and antenna selection can achieve 6 times higher sum capacity and 1.6 times higher UE capacity, compared to the without clustering.

    本文言語English
    ホスト出版物のタイトルProceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019
    編集者Vo Nguyen Quoc Bao, Tran Thien Thanh
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ73-77
    ページ数5
    ISBN(電子版)9781728136790
    DOI
    出版ステータスPublished - 2019 11月
    イベント25th Asia-Pacific Conference on Communications, APCC 2019 - Ho Chi Minh City, Viet Nam
    継続期間: 2019 11月 62019 11月 8

    出版物シリーズ

    名前Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019

    Conference

    Conference25th Asia-Pacific Conference on Communications, APCC 2019
    国/地域Viet Nam
    CityHo Chi Minh City
    Period19/11/619/11/8

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • ハードウェアとアーキテクチャ
    • 情報システムおよび情報管理
    • 安全性、リスク、信頼性、品質管理
    • 制御と最適化

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