Design of Power Wireless Private Network Coverage Prediction System

Abstract

Abstract. In this paper, according to the practical needs of the electric power wireless network coverage prediction, a propagation model based on real data and revised statistical prediction model (SPM) is proposed to predict the spatial field intensity distribution of the base station and improve the rationality and efficiency of the network planning and construction. The optimal parameters of SPM model parameters are obtained by least square method. On this basis, the coverage prediction with geographic information is proposed. The simulation results show that compared with SPM and LAP model, the proposed scheme can effectively analyze the signal loss intensity around the base station at any location in the map, so as to solve the signal planning problem of the base station.