Optimization of Network Base Station Location Based on Immune Algorithm

in order to solve the coverage problem of the weak coverage area of the existing network. In this paper, the data is preprocessed, and the minimum circle coverage method is used to solve the location selection of the base station according to the immune algorithm. The iterative curve converges quickly and achieves the required accuracy. According to the global analysis results of the neural network, based on the genetic algorithm. Perform local location optimization, and give the results of optimal base station location and sector angle.