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Iterative equalization for MIMO systems: Algorithm design and evolution analysis

  • Xiaojun Yuan
  • , Junjie Ma

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper, we study the equalization problem for linearly precoded multiple-input multiple-output (MIMO) systems. We develop novel iterative equalization algorithms based on message-passing principles. We establish an evolution technique to analyze the performance of the proposed iterative equalization algorithms. We show by numerical results that the simulated performance of the proposed linear precoding and iterative equalization scheme agrees well with the evolution analysis, and that the proposed scheme can significantly outperform the existing schemes. It is worth noting that the performance advantage of the proposed scheme is achieved without exploiting any knowledge of channel state information at the transmitter (CSIT). © 2013 IEEE.
Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
Pages3974-3979
DOIs
Publication statusPublished - 2013
Event2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai, China
Duration: 7 Apr 201310 Apr 2013

Publication series

Name
ISSN (Print)1525-3511

Conference

Conference2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
PlaceChina
CityShanghai
Period7/04/1310/04/13

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