A study on user-antenna cluster formation for cluster-wise MU-MIMO

Sijie Xia, Chang Ge, Qiang Chen, Fumiyuki Adachi

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

Abstract

The ultra-dense radio access network (RAN) consisting of a large number of distributed antennas and user terminals is considered to improve link capacity and coverage while saving the energy consumption for 5G advanced systems. Because of such a large-scale multi-user multiple-input multiple-output (MU-MIMO), the computational complexity of signal processing is difficult to realize. Aiming to reduce the computational complexity to an acceptable level, the clustering approach is promising to decompose the large-scale MU-MIMO into several smaller-scale ones. K-means clustering is introduced to form either user clusters or antenna clusters and then, cluster member assignment (CMA) is done to perform cluster-wise zero-forcing (ZF) based MU-MIMO. In this paper, we compare through computer simulation possible combinations of two clustering methods and two CMA methods in terms of achievable link capacity.

Original languageEnglish
Title of host publicationWPMC 2020 - 23rd International Symposium on Wireless Personal Multimedia Communications
Subtitle of host publicationBridging Wireless and Business Worlds
PublisherIEEE Computer Society
ISBN (Electronic)9781728182964
DOIs
Publication statusPublished - 2020 Oct 19
Event23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020 - Virtual, Okayama, Japan
Duration: 2020 Oct 192020 Oct 26

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2020-October
ISSN (Print)1347-6890

Conference

Conference23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020
CountryJapan
CityVirtual, Okayama
Period20/10/1920/10/26

Keywords

  • 5G advanced systems
  • Clustering
  • Distributed MU-MIMO
  • ZF

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

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