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

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

doi:10.1109/TMAG.2009.2012695

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

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

Research output: Contribution to journal › Article › peer-review

44 Citations (Scopus)

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.

Original language	English
Article number	4787362
Pages (from-to)	1522-1525
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	45
Issue number	3
Early online date	24 Feb 2009
DOIs	https://doi.org/10.1109/TMAG.2009.2012695
Publication status	Published - Mar 2009
Externally published	Yes

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

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 = "Dual-band antenna array design, Multi-objective optimization, Pareto optimization, Particle swarm optimization, Dual band, Base stations, Antenna arrays, 3G mobile communication, Frequency, Mobile antennas, Mobile communication, Computational geometry, moment methods",

author = "Goudos, {Sotirios K.} and Zaharis, {Zaharias D.} and Kampitaki, {Dimitra G.} and Rekanos, {Ioannis T.} and Hilas, {Costas S.}",

year = "2009",

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AU - Zaharis, Zaharias D.

AU - Kampitaki, Dimitra G.

AU - Rekanos, Ioannis T.

AU - Hilas, Costas S.

PY - 2009/3

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N2 - 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.

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KW - Dual-band antenna array design

KW - Multi-objective optimization

KW - Pareto optimization

KW - Particle swarm optimization

KW - Dual band

KW - Base stations

KW - Antenna arrays

KW - 3G mobile communication

KW - Frequency

KW - Mobile antennas

KW - Mobile communication

KW - Computational geometry

KW - moment methods

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ER -

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

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