Communication And Sensing Resource Allocation Method And Performance Evaluation Of Integrated Sensing And Communication Autonomous Vehicle Network

At present,the guarantee of the safety of autonomous vehicles mainly comes from the sensing information of the surrounding environment by multiple sensors installed on the vehicle.However,when sensors fail or encounter bad weather,the sensing performance will be greatly reduced.The collaboration between Connected Automated Vehicles(CAVs)and base station/Road Side Unit(RSU)is the key to achieve reliable and efficient sharing of raw sensing data and ensure driving safety.Therefore,based on the existing communication frame structure,this paper designs the integrated sensing and communication through the method of time division,and studies the integrated design method and resource allocation method of sensing and communication between vehicles and between vehicles and base station in the multi-vehicle interconnection scenario.To realize the low-delay transmission of original sensing data between vehicles and the efficient utilization of communication and sensing resources in the multi-vehicle interconnection scenario.The main contributions of this thesis include two parts:(1)In view of the processing time delay of raw sensing data between vehicles in multivehicle interconnection network of autonomous vehicles is high and it is difficult to transmit effective sensing information to other vehicles in time,the communication and sensing are jointly designed.Based on the communication frame structure of 5G New Radio(NR),A symbol-level time-division integrated sensing and communication frame structure is designed.The time resource allocation ratio between communication and sensing can be dynamically adjusted according to vehicle demand.Then,based on the time-division integrated sensing and communication framework and interference analysis,using the queueing theory M/M/1/N model,a low delay algorithm for vehicle raw sensing information processing and sharing is proposed.This algorithm can reduce the system response delay by about 23%.(2)Aiming at the problems that it is difficult for vehicles to communicate directly in the autonomous vehicle connection network due to factors such as manufacturers and hardware,the communication sensing is jointly designed by using the base station as the connection.Based on the 2ms single-period frame format in 5G TDD frame structure,a time-division up and down integrated sensing and communication frame structure is designed to realize downlink sensing,and the proportion of time resource allocation between communication and sensing can be dynamically adjusted according to demand.Based on the time-division up and down integrated sensing and communication framework and interference analysis and greedy algorithm,a performance optimization algorithm of communication sensing integration system is proposed to realize the tradeoff optimization of system communication and sensing performance.Compared with the exhaustive method,this algorithm reduces the computational complexity from exponential growth to linear growth.Compared with random allocation,this algorithm can improve communication sensing integration performance of the system by 21%.