5G Wireless Intelligent Propagation Channel Modelling Based on Deep Residual Network

Abstract

Based on the engineering big data measured by Huawei Mobility Base Station and the application of electronic map, this paper establishes the radio wave feature engineering by combining the Cognitive Radio (CR) and ResNet. Based on the statistical results of channel large-scale fading characteristics, including path loss (PL), shadow fading (SF) and small-scale fading characteristics, the actual Reference Signal Receiving Power (RSRP) of the channel is obtained to modify the traditional empirical model formula of wireless channel, and the model is used to accurately predict the wireless signal coverage in the new environment, so as to greatly reduce the cost of base station construction and improve the network construction efficiency.