A particle-swarm-driven cross-entropy method for MIMO signal detection

Chun Lin Wang*, Yu Ting Lin, Yu-Ted Su

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we apply simulation-based optimization methods to detect quadrature amplitude modulated (QAM) MIMO signals. The first one is the so-called Cross-Entropy (CE) method which enables the corresponding CE-based detector to provide bit-error-rate (BER) performance close to that achievable by the maximum-likelihood (ML) detector when the signal-to-noise ratio (SNR) is relatively low. Unfortunately, the performance curves exhibit error floors in the high SNR region. To improve the performance in the high SNR region, we borrow the concept of Particle Swarm Optimization (PSO) and refer to the resulting iterative detector as the Particle-Swarm-driven Cross-Entropy (PSD-CE) MIMO detector. This detector gives a significant BER performance improvement in the medium-to-high SNR region. We also consider the case when the channel state information is imperfect and suggest a robust detector structure based on a modified score function.

Original languageEnglish
Title of host publication2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings
DOIs
StatePublished - 3 Aug 2010
EventIEEE Wireless Communications and Networking Conference 2010, WCNC 2010 - Sydney, NSW, Australia
Duration: 18 Apr 201021 Apr 2010

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

ConferenceIEEE Wireless Communications and Networking Conference 2010, WCNC 2010
CountryAustralia
CitySydney, NSW
Period18/04/1021/04/10

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