User-BS Selection Strategy Optimization with RSSI-Based Reliability in 5G Wireless Networks

Although fifth-generation (5G) wireless communication can ] support well a high data rate of transmission, issues such as base station (BS) failure and poor BS signals may cause serious interruption problems. This paper studies the user-BS selection strategy with received signal strength indication (RSSI)-based reliability in 5G networks. First, is defined on basis RSSI probability BS. The problem modeled optimization capacity receiving sensitivity constraints. Second, original be transformed into resource allocation probabilistic For situation where user distribution known, we used dynamic programming to obtain optimal strategy. unknown, starting from trajectory data, space–time density estimation method based Epanechnikov kernel estimate bring it Simulation results show that our algorithm more accurate than commonly algorithm. Compared distance-based method, RSSI-based also improved quality under different scenarios.