Research On Wireless Resource Allocation Algorithm For Train-to-train Communication Based On 5G Network

Faced with the growing demand for rail transportation,the objective requirements for promoting the optimization and upgrading of the transportation industry,such as enhancing transportation safety and security capabilities and improving transportation capacity,have gradually emerged.According to the requirements of the national “One Belt,One Road”important development strategy,through the comprehensive perception,ubiquitous interconnection and integration of rail transit mobile equipment,fixed infrastructure and related internal and external environmental information,efficient and comprehensive use Rail transit resources to create a safer,more reliable,cost-effective new generation of rail transit system is imminent.A new generation of train control system based on train-to-train communication,because it can integrate some ground equipment functions to on-board equipment,and take the train as the core,improve the real-time communication of the system and thus the characteristics of rail transit safety and operational efficiency,and become a new development trend.Compared with 4G network,5G network has a qualitative leap in peak rate,mobility,spectrum and efficiency,and 5G network is suitable for ultra-high-speed,large-scale,object communication and other applications that are highly consistent with the rail transit communication mode.Therefore,the D2D(Device-to-Device)communication technology in its key technology can meet the D2 D communication requirements in the rail transit environment and realize train-to-train communication.When the train-to-train communication is introduced into the traditional train control system,the physical resource blocks occupying the train-ground communication will have serious interference problems.At the same time,due to the special mobility of rail transit,it is easy to see that the train-to-train communication equipment at the edge of the network cell is difficult to allocate resources.Therefore,selecting a reasonable wireless resource allocation method can reduce interference between networks,improve system stability,reduce fixed infrastructure investment,and save construction costs,thereby improving the technical and economical efficiency of the train control system.The specific research contents of the thesis are as follows:(1)Research on 5G network and its key technologies,and specifically study the D2 D communication technology.The communication process,advantages,and resource allocation methods of it are introduced,and its application in the train control system is briefly analyzed.(2)A graph-based train-to-train communication resource allocation algorithm is proposed.Firstly,the weighted bipartite graph of graph theory is used to establish the channel allocation model,and then the improved KM algorithm(IKM,Improved Kuhn-Munkres)is used toallocate channels for train-to-train communication users.The power is adjusted to maximize the total throughput of the system.It ensures the communication quality of the train-ground communication and the train-to-train communication,and improves the stability of the communication connection between the trains.(3)Based on the Stackelberg game,the train-to-train communication resource allocation algorithm is proposed.Firstly,the Stackelberg game is used for power control,and then the weighting factor based on proportional fair is introduced in the process of resource allocation to ensure train-to-train communication.Under the premise of communication requirements of train-to-train communication,the train-to-train communication equipment can still have good stability when passing through the cell edge,improve the fairness of train-to-train communication,and effectively improve the train control system after joining the train-to-train communication.performance.