Abstract: Aiming at the problem of multi-channel distribution during the handover of high-speed trains, we proposed a channel selection algorithm based on the multi-armed bandit (MAB) model. Firstly, the model was based on the upper-confidence bound (UCB) algorithm, and the algorithm converged to the optimal channel quickly by setting the channel idle difference factor. Secondly, the satisfactory communication probability (SCP) was introduced to measure the communication quality of the mobile train, and the relationship between the communication quality and the bit error rate during the analysis and handover process was analyzed. Finally, the optimal channel selection rate, successful transmission rate and cumulativ
e access loss were used as the evaluation criteria to analyze the performance of the algorithm. The simulation results show that the cumulative access loss of the algorithm is about 18.5% less than the original UCB algorithm, compared with the random selection algorithm and the original UCB algorithm, the successful transmission rate is increased by about 30.2% and 3.3%, and the optimal selection ratio is increased by about 88.3% and 13.5%.

Key words: handover, multi-armed bandit , (MAB) model, upper-confidence bound (UCB) algorithm, satisfactory communication probability (SCP)