GSM-R wireless field strength coverage prediction algorithm based on GA-BP algorithm

Abstract

With the opening of multiple railway lines, newly-built routes are adjacent to, close to, and overcoming existing routes. If you do not consider the network coverage of adjacent lines in future planning in the early construction of the lines, you need to adjust the original The reconstruction of the line network coverage has increased the difficulty of construction and investment costs. In this paper, based on the genetic algorithm and BP artificial neural network, a GSM-R wireless network communication field strength prediction model is established. Combined with the field strength measured data of the base station, the GA-BP neural network model is compared with the traditional HATA model and BP neural network model. The comparison and verification show that the model has greatly improved the accuracy of prediction compared with the HATA model and the BP neural network model. It provides a feasible theoretical basis for the subsequent construction of railway parallel GSM-R wireless network coverage design.