Capacity of MIMO systems with antenna selection

Research output: Contribution to journalArticle

Abstract

We consider the capacity of multiple-input multiple-output systems with. reduced complexity. One link-end uses all available antennas, while the other chooses the L out of N antennas that maximize capacity. We derive an upper bound on the capacity that can be expressed as the sum of the logarithms of ordered chi-square-distributed variables. This bound is then evaluated analytically and compared to the results obtained by Monte Carlo simulations. Our results show that the achieved capacity is close to the capacity of a full-complexity system provided that L is at least as large as the number of antennas at the other linkend. For example, for L = 3, N = 8 antennas at the receiver and three antennas at the transmitter, the capacity of the reduced-complexity scheme. is 20 bits/s/Hz compared to 23 bits/s/Hz of a full-complexity scheme. We also present a suboptimum antenna subset selection algorithm that has a complexity of N-2 compared (N) to the optimum algorithm with a complexity of ((N)(L)).

Details

Authors
  • Andreas Molisch
  • M Z Win
  • Y S Choi
  • J H Winters
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • antenna arrays, information rates, MIMO systems
Original languageEnglish
Pages (from-to)1759-1772
JournalIEEE Transactions on Wireless Communications
Volume4
Issue number4
Publication statusPublished - 2005
Publication categoryResearch
Peer-reviewedYes