Determination of optimum antenna number ratio based on differential evolution for MIMO systems under low SNR conditions


DEVELİ I.

WIRELESS PERSONAL COMMUNICATIONS, vol.43, no.4, pp.1667-1673, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 43 Issue: 4
  • Publication Date: 2007
  • Doi Number: 10.1007/s11277-007-9334-8
  • Journal Name: WIRELESS PERSONAL COMMUNICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1667-1673
  • Erciyes University Affiliated: Yes

Abstract

In this paper, we derive a simple expression to determine the optimum antenna number ratio for multi-input multi-output systems under low signalto-noise ratio (SNR) conditions. The parameters of the proposed expression are optimally determined by the differential evolution algorithm. The accuracy of the new expression is evaluated at different low SNRs. Numerical results show that the expression introduced in this paper significantly outperforms the high SNR approximation, and the results exhibit very good agreement with the optimum antenna number ratios that maximize the noise-limited asymptotic capacity expression.
In this paper, we derive a simple expression to determine the optimum antenna number ratio for multi-input multi-output systems under low signal-to-noise ratio (SNR) conditions. The parameters of the proposed expression are optimally determined by the differential evolution algorithm. The accuracy of the new expression is evaluated at different low SNRs. Numerical results show that the expression introduced in this paper significantly outperforms the high SNR approximation, and the results exhibit very good agreement with the optimum antenna number ratios that maximize the noise-limited asymptotic capacity expression.