Pareto Optimal Design of Dual-Band Base Station Antenna Arrays Using Multi-Objective Particle Swarm Optimization With Fitness Sharing

Author

Goudos, Sotirios K. ; Zaharis, Zaharias D. ; Kampitaki, Dmitra G. ; Rekanos, Ioannis T. ; Hilas, Costas S.

Author_Institution

Telecommun. Center, Aristotle Univ. of Thessaloniki, Thessaloniki

Volume

45

Issue

3

fYear

2009

fDate

3/1/2009 12:00:00 AM

Firstpage

1522

Lastpage

1525

Abstract

The design of dual-band base station antennas under constraints for mobile communications is addressed in this paper. Given the antenna geometry, the method of moments (MoM) is used to compute the antenna characteristics. Two distinct multi-objective evolutionary algorithms are applied in order to find the Pareto front of the feasible solutions that satisfy the design constraints. In the present work, the Multi-Objective Particle Swarm Optimization with fitness sharing (MOPSO-fs) is compared with the Nondominated Sorting Genetic Algorithm-II (NSGA-II) in order to optimize the antenna geometry. Two design cases are presented. The first case is a five-element array operating in GSM1800/UMTS frequency bands. The second base station antenna array consists of six elements operating in UMTS/WLAN (2.4 GHz) frequency bands.

Keywords

Pareto optimisation; antenna arrays; method of moments; multifrequency antennas; particle swarm optimisation; Pareto optimal design; antenna geometry; dual-band base station antenna arrays; fitness sharing; method of moments; multiobjective particle swarm optimization; Dual-band antenna array design; Pareto optimization; multi-objective optimization; particle swarm optimization;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2009.2012695

Filename

4787362