The main research content of this paper is to study the information about the existing network BSs and weak signal coverage points in a certain area, idealize the BS coverage into a circular coverage, and under the given user satisfaction conditions, establish a bi-objective. . The main research content of this paper is to study the information about the existing network BSs and weak signal coverage points in a certain area, idealize the BS coverage into a circular coverage, and under the given user satisfaction conditions, establish a bi-objective. . Most of the current research is based on the performance of the base station (BS) itself or the operation mode of the communication operator without considering the users' needs and signal overlapping coverage. 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. . 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. . for channel simulation-based base station (BS) design that supports joint optimization of transmission pow r and placement. We consider a system in which multiple transmitters provide wi eless services over a shared frequency band. Our objective is to maximize the average throughput within an area. . Therefore, an efficient wireless BS deployment method is urgently needed. This paper proposes a BS location optimization framework, trying to solve the problem of wireless BS location from a micro point of view, the problem is divided into traffic demand prediction and BS location optimization.
