The commonly used optimization models for base station site selection are based on Meta-heuristic Approaches which includes Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Artificial Bee Colony Optimization (ABC) and Particle Swarm Optimization Technique (PSO). . With the large-scale deployment of 5G technology, the rationality of communication base station siting is crucial for network performance, construction costs, and operational efficiency. Traditional site selection methods rely heavily on manual experience, exhibiting strong subjectivity and. . Increasing number of base station sites with continuously growing customers not only lifted up the total cost of the cellular network but it also has radiation hazard issues affecting health. The CNN method, based on a three-dimensional representation including signal strength data set, network topology data set, and transmission pat data set, is used to select base station. . In order to minimize the cost of establishing base stations while covering a large amount of services, this paper uses objective planning and establishes a mathematical model to solve the optimal establishment method of base station siting. Below is a quick guide based on different environments: 1. In this paper, data preprocessing is firstly. .
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