The increasing demand for high-performance wireless communication systems necessitates advanced antenna technologies that can ensure maximum signal strength without breaching regulatory standards. Conventional antenna systems often suffer from limited directionality and signal loss due to environmental interference and suboptimal configurations, affecting signal quality and system reliability. This study proposes a novel multi-dimensional antenna system designed using a hybrid optimization algorithm integrating Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The antenna configuration dynamically adjusts its orientation and radiation pattern to enhance signal reception within allowable electromagnetic radiation limits. Simulations using CST Microwave Studio demonstrate a 27.3% increase in signal strength, 18.5% improvement in signal-to-noise ratio (SNR), and a 15.7% reduction in bit error rate (BER) compared to traditional planar and phased-array antennas. The gain achieved is 13.4 dBi with a beamwidth reduction of 22.6%.
M. Karthick1, P.T. Kalaivaani2
Nandha College of Technology, India1, Vivekanandha College of Engineering for Women, India2
Multi-Dimensional Antenna, Signal Optimization, Electromagnetic Compliance, Wireless Networks, Hybrid Algorithm
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| Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 11 , Issue: 1 , Pages: 2043 - 2050 )
Date of Publication :
April 2025
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23
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