Game Theory-based Resource Allocation for Vehicular Communication Networks

#Communication #UAV #vehicular networks

To meet the low latency demands of emerging Communication, Control, and Computation (CCC) intensive vehicular networks, offloading these services to the roadside units, edge/cloud servers, and Unmanned Aerial Vehicles (UAV) has proven to be an effective approach. However, the limited network resources present significant challenges in developing an efficient resource allocation strategy. Balancing latency, throughput, and resource utilization is considered to be critical to ensure optimal performance in such ad hoc communication networks. In this study, we investigated the throughput and transmission delay performances for real-time and delay-sensitive services using a repeated game-theoretic approach. By employing Nash Equilibrium within a non-cooperative game model, we analyzed the efficiency of resource allocation strategies. Simulation results demonstrated notable improvements in resource allocation efficiency, validating the effectiveness of our approach.