Adaptive beamforming with antenna selection in MIMO systems

Ya Han Pan, Khaled Letaief, Zhigang Cao

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Selection diversity at both the transmitter and receiver is the simplest way to realize MIMO (multiple-input multiple-output) systems, but the performance improvement of this form of diversity technique is limited. Adaptive beamforming based MIMO can provide significant increases in system's capacity and performance, but they are characterized by a relatively higher implementation complexity than selection diversity. In this paper, we propose an adaptive beamforming with antenna selection for MIMO wireless transmission systems. By adaptively selecting the best beamforming which corresponds to the largest eigenvalue in the subset of all available channel correlation matrices, the proposed system can get significant performance improvements over the conventional adaptive antenna array based MIMO systems and the selective space-time block coding approach over flat fading channels. Numerical results will also show that the proposed approach always outperforms the selective space-time coding approach under imperfect CSI.

Original languageEnglish
Pages (from-to)1570-1574
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume60
Issue number3
Publication statusPublished - 2004
Externally publishedYes

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Keywords

  • Joint transmit and receive antenna selection
  • MIMO
  • Selection diversity
  • Selective beamforming
  • Selective space-time coding diversity

ASJC Scopus subject areas

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

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