Abstract: In order to solve the problem of high planning cost and low efficiency of the 5G for railway (5G-R), and to meet the needs of the planning and construction of railway intelligent wireless network. This article takes the Beijing-Shenyang passenger line as a scenario to study the 5G-R intelligent wireless network planning technology based on high-performance ray tracing in the 2.1 GHz frequency band. Relying on high-performance ray tracing simulation, the channel characteristics and path loss of electromagnetic waves propagating in a specific propagation environment can be obtained, and the reference signal receiving power(RSRP) and downlink transmission rate of the wireless link can be accurately estimated. At the same time, the planning problem is modeled as a multi-objective optimization problem, and the genetic algorithm is used to plan the parameters of the base station. On the premise that the RSRP coverage is up to standard, the downlink transmission rate is maximized, and the optimal solution of base stations is exported. The simulation results show that the technology can meet the planning goals of RSRP coverage and maximize the downlink transmission rate, and provide simulation support and reference for the subsequent realization of accurate and efficient 5G-R wireless network planning and optimization.