OPTIMAL DESIGN OF MOBILE NETWORK BASE STATIONS

Abstract

The development of mobile networks is a crucial area of scientific research and technological advancement.The increasing number of mobile communication users and the demand for high-quality coverage pose significant challenges for network operators. Optimal base station design is a key aspect of network efficiency, as it ensures maximum coverage with minimal costs. The placement of base stations significantly impacts connection quality, interference levels, financial expenses, and overall network performance.This paper examines approaches to optimal base station placement in mobile networks using mathematical models and modern optimization algorithms. The study reviews optimization methods such as integer linear programming, greedy algorithms, genetic algorithms, and the simulated annealing method. The advantages and disadvantages of each approach, as well as their effectiveness in coverage optimization tasks, are analyzed.A methodology is developed that considers key financial factors, including equipment costs, installation, operation, and maintenance expenses. The proposed methods help minimize costs, enhance network performance, and ensure high- quality mobile service for users. The obtained results can be applied to the planning of mobile networks of various scales, improving resource utilization efficiency and reducing infrastructure deployment costs. The proposed recommendations contribute to refining base station design to provide reliable, stable, and accessible communication in the future.