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

1 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
イベント25th Asia-Pacific Conference on Communications, APCC 2019 - Ho Chi Minh City, Viet Nam
継続期間: 2019 11 62019 11 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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