Research on automatic selection method of 5G communication link based on Bayesian network adaptive reasoning

In response to the complexity of communication link selection in 5G networks, this paper proposes an automatic selection method for 5G communication links based on Bayesian network adaptive inference. Firstly, this article analyzes the influencing factors of automatic selection of 5G communication links, calculates the weights and loads of 5G communication links. By learning and predicting parameters through Bayesian networks, posterior probability analysis is performed using Bayesian networks to determine the optimal communication link. The experimental simulation results show that the proposed method exhibits good performance in various scenarios, significantly improving the reliability of communication links and data transmission efficiency. It can achieve efficient and accurate selection of 5G communication links, providing strong support for improving network communication performance and service quality.