Energy-Efficiency Maximization in Cellular D2D-Based V2X Networks with Statistical CSI

In the vehicle-to-everything (V2X) communication, cellular device-to-device (D2D) communication offers numerous advantages, such as enhanced data rates and decreased traffic load. So cellular D2D-based V2X communication has emerged as a focal point of interest. Confronted with the challenge of acquiring complete channel state information (CSI) in a highly mobile vehicular environment, this paper endeavors to optimize system energy efficiency (SEE) while meeting the demands of heterogeneous links solely through statistical CSI. We propose a resource allocation algorithm that jointly optimizes power control and spectrum allocation in V2X networks. Firstly, a low-complexity iterative power control algorithm is introduced to obtain the optimal power control for a single reuse pair. Secondly, the Munkres algorithm is employed to determine the optimal spectrum allocation. Finally, simulation results show that the proposed algorithm outperforms the existing corresponding resource allocation method, in enhancing SEE.