Abstract: Aiming at the problem that trigger rate and success rate of handover were both low in the process of handover, we proposed an adaptive joint decision handover algorithm based on improved genetic algorithm. Firstly, based on the genetic algorithm, under the high-speed characteristics, the relevant parameters in the process of handover decision were optimized, and the hysteresis tolerance value that met the fast handover requirement was dynamically selected for different running speeds of the train. Secondly, satisfactory communication probability (SCP) was introduced, when the train moved between cells, if the SCP value did not meet the requirements, it would not be able to access the next cell to ensure the excellent communication quality. The simulation results show that compared with the traditional handover scheme, this scheme can achieve the goal of improving the trigger rate and the success rate of handover, and has a higher satisfactory communication probability.

Key words: handover, genetic algorithm, hysteresis tolerance, satisfactory communication probability (SCP)