Research on maximizing throughput of high-speed railway system by allocating train-to-train communication resources

The realization of train-to-train (T2T) communication in 5G-R systems can effectively reduce the communication delay of trains and improve the safety and efficiency of train operation, but in this communication process, due to the coexistence of T2T communication and train-to-ground (T2G) communication, the problem of co-frequency interference will inevitably exist. To address this problem, this paper firstly proposes the Weighted Bifurcation Graph-based Resource Allocation (WBGRA) algorithm to reasonably allocate channel resources, which divides the channel resource allocation process into two parts, i.e., allocating channel resources for T2G users and reusing T2G users' resources by T2T users, and the reuse process takes into account whether the reuse conditions are satisfied; and then the game theory is used to control the power. Simulation of the proposed algorithm shows that it gives the optimal solution of the optimization objective.