Abstract: With the help of millimeter wave communication technology, the efficient transmission of sensing information between different vehicles can be realized, thus enhancing the sensing ability of the vehicles. In this paper, a time-division integrated sensing and communication system is adopted for extended sensor scenarios in enhanced applications of Internet of Vehicles. The matching problem between communication vehicles and the time resource allocation problem in the integrated sensing and communication system are studied with the radar mutual information rate as a performance evaluation indicator. To solve the problems, an optimization algorithm based on the Hungarian algorithm and simulated annealing is proposed. Simulation results show that the proposed algorithm can effectively extend the sensing range of vehicles and improve the overall sensing performance of vehicle networks.

Key words: integrated sensing and communication, vehicle matching, over the horizon perception, resource allocation