（兰州交通大学，中国 兰州 730070）
Heterogeneous Network Access Technologies Based on 5G-R Services for High-Speed Railway
LI Cuiran, XIE Jianli, GAO Wenjuan
(Lanzhou Jiaotong University, Lanzhou 730070, China)
Abstract: Global system for mobile communications-railway (GSM-R) is evolving to broadband mobile communication systems-R (LTE-R) and 5G for railways (5G-R). A radio access algorithm in wireless heterogeneous environment based on Markov decision process (MDP) decision model is proposed to meet the needs of 5G-R services access to different networks in future high-speed railways (HSRs) communications, such as video surveillance, train-to-train (T2T) direct communication, train multimedia dispatching. According to the quality of service (QoS) attributes of different types of services and time-varying characteristics of wireless networks, the network reward function is constructed, and the QoS attribute weight is determined based on fuzzy clustering theory. The MDP decision model is solved by an artificial intelligence algorithm, which enables users to access the network with the maximum long-term reward with fewer handoffs. In addition, the convergence and effectiveness of the algorithm are analyzed by simulation.
Keywords: high-speed railways; 5G-R; heterogeneous network; Markov decision process; artificial intelligence