Flexible Time Resource Allocation Method for Joint Communication and Sensing Enabled CAVs

In the automated vehicle network, due to the limited sensing ability of a single vehicle, complex road conditions make it difficult to make correct decisions in Connected-Automated Vehicles(CAVs). In this paper, a base station is used to assist the information exchange among vehicles. Based on the frame structure of 5G New Radio(NR), a time-division uplink and downlink joint communication and sensing (TD-UD-JCS) system is proposed to enable the base station to realize the downlink sensing function while communicating with vehicles simultaneously. A greedy based optimization algorithm is designed to realize the efficiency information exchange in joint communication and sensing (JCS) enabled CAVs. Simulation results show that the proposed algorithm can improve both sensing and communication performances of JCS system by 21% maintaining the same computational complexity. The local optimal of the utility function is achieved, and the reliable sensing performance is guaranteed.