C-V2X Resource Allocation and Power Control for Cooperative Perception Through Game theory

In view of the bottleneck of vehicle sensor perception, collaborative perception can be used to share data to expand the range of perception in the environment of vehicle networking. To save resources, spectrum multiplexing is required in Vehicle-to-Vehicle (V2V) communication. The power adjustment of a communication link sharing the same spectrum will cause wireless interference to other related links, affecting the transmission efficiency of other communication links, and affecting the satisfaction of cooperative perception. Aiming at the C-V2X resource scheduling problem of vehicle-road cooperative sensing, this paper uses game theory to build an alliance, and carries out power control during the scheduling of wireless communication resources to ensure on-demand transmission while reducing interference to other links, so as to maximize the total data transmission volume of all V2V direct links. Extensive experiments show that compared with random alliance optimization algorithm, greedy alliance optimization algorithm and constant power game-theoretic alliance algorithm, the proposed algorithm achieves better efficiency.