Optimization of telecommunication tower placement for maximum coverage using genetic algorithm

Abu Bakar, Muhammad Nur Hasif (2023) Optimization of telecommunication tower placement for maximum coverage using genetic algorithm. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Telecommunication tower location is critical for obtaining maximum coverage and optimizing network performance. Traditional tower placement methods frequently rely on human selection or heuristic approaches, which may not necessarily produce the best outcomes. In this study, we suggest using a genetic algorithm to optimize tower location in telecommunication networks for optimum coverage. To find the ideal subset of tower locations, the genetic algorithm-based technique evaluates coverage needs, infrastructure costs, and signal strength. The system repeatedly refines prospective tower placement options by utilizing natural selection and genetic evolution concepts. The goal of this research is to give an automated and systematic solution to the tower placement problem, which will result in greater coverage, improved network performance, and minimized telecommunication tower. The project's findings have important implications for telecommunications operators, network designers, and politicians, resulting in better network deployment plans and higher service quality.

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