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Optimizing Antenna Positioning for Enhanced Wireless Coverage: A Genetic Algorithm Approach.

Francisco Calles-Esteban¹, Alvaro Antonio Olmedo¹, Carlos J Hellín¹

¹Computer Science Department, Universidad de Alcalá, 28801 Alcala de Henares, Spain.

Sensors (Basel, Switzerland)

|April 13, 2024

Summary

This study developed a web tool using genetic algorithms to optimize antenna positioning for better wireless network coverage. The tool enables detailed antenna placement analysis, improving service quality and network capacity.

Keywords:

antenna positioning genetic algorithms optimization propagation losses wireless communications

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Area of Science:

Wireless Communications
Computer Science
Optimization Algorithms

Background:

Precise antenna placement is critical for wireless network performance, coverage, and capacity.
The antenna positioning problem (APP) has advanced with the integration of evolutionary algorithms.
Mobile connectivity growth necessitates efficient antenna positioning solutions.

Purpose of the Study:

To develop an innovative web tool for optimizing antenna positioning using genetic algorithms.
To integrate empirical propagation loss models into a user-friendly web application.
To enhance the analysis of antenna placement for wireless communication networks.

Main Methods:

Reviewed and integrated seven empirical models for propagation loss calculations.
Utilized genetic algorithms via the JMetal framework for optimization.
Developed a web interface using Java 17, TypeScript 5.1.6, and React.

Main Results:

Demonstrated the feasibility of detailed antenna positioning analysis with minimal configuration.
Showcased the effectiveness of genetic algorithms in optimizing antenna placement.
Provided a functional web tool for practical application integration.

Conclusions:

The developed web tool offers a feasible approach to antenna positioning analysis.
Genetic algorithms effectively optimize antenna placement for wireless networks.
Future work includes environmental analysis server integration for enhanced precision.