A Novel Resource Allocation Approach to C-V2X based internet of vehicle networks with Stackelberg Game

The cellular vehicle-to-everything (C-V2X) is a crucial technology of the cooperative intelligent transport system (C-ITS) to provide direct communications among vehicles. The sensing-based semi-persistent scheduling (SPS) algorithm is adopted by C-V2X to allocate radio resources dynamically. Considering application scenarios of the internet of vehicles (IoV), there are amount of vehicles, and the hidden-terminal problem is outstanding, which can bring severe interference and reduce the quality of service (QoS) of C-ITS. In the paper, the modified cell transfer model (MCTM) is utilized to estimate traffic density, which can be helpful to perform the optimization of resource allocation to deal with hidden-terminal problems. Based on practical constraints involved with vehicles and C-V2X, a resource management scheme based on game theory is proposed to implement resource selection and power control to enhance the performance of C-ITS with a large number of vehicles. Finally, simulation results demonstrate that the proposed approach can effectively reduce packet collisions, achieve a better transmission rate and ensure the QoS requirements of V2V communication links compared with other methods.