The use of Genetic Algorithm for designing MIMO antenna placement

Author

Uthansakul, Peerapong ; Assanuk, Danai ; Uthansakul, Monthippa

Author_Institution

Sch. of Telecommun. Eng., Suranaree Univ. of Technol. NakhonRatchasima, Nakhon Ratchasima, Thailand

fYear

2010

fDate

3-5 Dec. 2010

Firstpage

414

Lastpage

417

Abstract

The topic of practical implementation of MIMO systems for wireless communication has recently gained a lot of attention. One interesting issue is how to design the position of multiple antennas on wireless terminal. In this paper, the Genetic Algorithm (GA) is employed to find the optimal antenna placement in order to achieve the best capacity benefit. The effect of mutual coupling based on Z-parameter is the main factor to determine the MIMO capacity concerning as the objective function of GA search. Two cases of 3×3 and 4×4 MIMO systems are experimentally studied. Both simulation and measurement results confirm the success of the proposed method to design MIMO antenna placement.

Keywords

MIMO communication; antenna arrays; genetic algorithms; search problems; GA search; MIMO antenna placement; MIMO capacity; Z-parameter; genetic algorithm; multiple antennas; wireless communication; wireless terminal; Antenna measurements; Antennas; Arrays; Genetic algorithms; MIMO; Receivers; Wireless communication; Genetic algorithm; MIMO; mutual coupling Z-parameter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Application (ICCIA), 2010 International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-8597-0

Type

conf

DOI

10.1109/ICCIA.2010.6141624

Filename

6141624