Genetical swarm optimization-based symbol detection for MIMO systems

Author

Wang, Yun-Sheng ; Lain, Jenn-Kaie

fYear

2008

fDate

14-16 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

A genetical swarm optimization (GSO)-based detector using multiple-input multiple-output (MIMO) spatial multiplexing signaling is proposed. By taking advantage of gene evolution and the collective intelligence of swarms, the proposed detector offers a slightly degraded bit error rate (BER) performance compared with the full-search-based optimum detector does while greatly reducing the computational complexity.

Keywords

MIMO communication; error statistics; genetic algorithms; particle swarm optimisation; signal detection; space division multiplexing; BER performance; MIMO system; bit error rate; gene evolution method; genetic particle swarm optimization; multiple-input multiple-output system; spatial multiplexing signaling system; symbol detection; Bit error rate; Computational complexity; Computational intelligence; Detectors; Genetic algorithms; MIMO; Particle swarm optimization; Receiving antennas; Signal detection; Transmitting antennas; genetic algorithm; genetical swarm optimization; multiple-input multiple-output; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2008. APCC 2008. 14th Asia-Pacific Conference on

Conference_Location

Tokyo

Print_ISBN

978-4-88552-232-1

Electronic_ISBN

978-4-88552-231-4

Type

conf

Filename

4773837