Research On Train To Train Communication Resource Allocation Algorithm Of Urban Rail Transit

With the continuous development of economy and the continuous expansion of city scale,the demand of rail transportation is also increasing.Therefore,the demand for improving the transportation capacity of rail transit and optimizing the transportation industry is increasing day by day.At the same time,with the continuous development of communication technology and the continuous improvement of infrastructure,creating a more safe and reliable rail transit system with lower operating costs has become the goal of the rail transit industry.A new generation of train control operation system based on Train to Train(T2T)communication integrating part of the functions of ground equipment to on-board equipment,with the train as the core,reduces the delay of the system,improves the throughput of the system,and then improves the operating efficiency.It has become a new development trend.The application of Train to Train communication in the train control system is mainly researched in this paper.On the one hand,in view of the special operation environment of urban rail transit,the relationship between equipment transmission power and communication throughput is analyzed,which provides theoretical support for communication resource allocation.On the other hand,on the basis of previous researches on Device to Device(D2D)communication,aiming at the practical application problems of T2 T communication,two kinds of T2 T communication resource allocation schemes based on D2 D technology are proposed and analyzed in detail.The specific research contents of this paper are as follows:(1)The D2 D communication technology used in T2 T communication is analyzed,including the communication mode and technical characteristics,and the process of establishing communication between trains based on D2 D is briefly explained.(2)The T2 T communication system model is built and the relationship between device transmitting power and communication throughput is analyzed.Then,the channel gain is used as the weight to establish the channel allocation model,and the weighted bipartite graph is used to match the multiplexed links according to the channel state information.Finally,Fly Optimization Algorithm with Dynamic Search Radius and Multiple Constraints(FOADSRMC)is used to adjust the power to maximize the total throughput of the system and improve the overall performance of the system.(3)In view of the real-time requirements of the train control system of urban rail transit for resource scheduling and the requirement of T2 T communication links to carry more services,a resource allocation combining stable matching and FOASCAMC algorithm(Fly Optimization Algorithm with Sine and Cosine Algorithm and Multiple Constraints)is proposed.Firstly,the stable matching algorithm is used to provide matching channels for T2 T communication to improve the throughput of T2 T links.Then the Sine and Cosine Algorithm(SCA)is introduced into FOA(Fly Optimization Algorithm)to form the FOASCAMC algorithm to adjust the power.The simulation results show that,by the resource allocation algorithm combining stable matching and FOASCAMC,the throughput of T2 T links is improved at the cost of partial system throughput,and the time-consuming of T2 T resource allocation is greatly reduced to guarantee the high real-time requirement of T2 T communication resource scheduling.