Research On D2D-based Resource Allocation For V2X Communications

With the development of the automotive industry and communication technology,as a mobile information carrier,vehicles use wireless communication technology to access the network,allowing people to enjoy intelligent driving and entertainment services.However,under large-scale network load,in order to improve the spectrum efficiency and satisfy the V2X(Vehicle-to-everything)communication demand,vehicles communicate with each other by multiplexing cellular network resources,that is,V2 V adopts D2 D communication mode for message transmission.Due to the reuse of resources,there is a large amount of co-channel interference in the V2 X communication process,and for the vehicle communication with higher communication quality requirements,the interference must be solved.This paper proposes different resource allocation schemes for different interference scenarios in V2 X communication based on communication requirements.The main research contents are as follows:First,for the security service scenario in V2 X communication,in order to securely and reliably transmit vehicle-to-vehicle information and ensure normal communication among vehicle users(V-UEs,Vehicular users),it is considered that the V-UEs meet the minimum communication requirements through a heuristic algorithm.The algorithm maximizes the total throughput of C-UEs(Cellular users).Firstly,the vehicles without interference are divided into the same cluster by the graph coloring principle.Secondly,based on the clustering results,the improved Hungarian assignment algorithm is used to allocate channels for V-UEs.Finally,the total throughput of C-UEs is maximized by adjusting the power.Simulation results show that this algorithm can solve the co-frequency interference problem of V2 X communication,improve the spectrum utilization rate,and maximize the throughput of C-UEs under the premise of ensuring the reliability of V-UEs communication.Secondly,for the infotainment service scenario in V2 X communication,in order to efficiently transfer data packets between vehicles,from the perspective of e-NB and V-UEs,a reasonable resource allocation scheme is adopted to ensure normal communication of C-UEs.At the same time,the minimum reachable rate of V-UEs is maximized.Firstly,V-UEs are divided into different clusters based on greedy thought graph partitioning.The same resources are reused between different clusters to improve resource utilization.Then,physical resource blocks(PRBs)are allocated for V-UEs based on the feasibility-competition principle.Finally,a game model is established for V-UEs that reuses the same resources,and a distributed power allocation scheme is adopted so that each V-UEs can obtain the optimal transmission power.Simulation results show that the proposed resource allocation scheme can well meet the V-UEs information service scenario requirements and improve system performance.