Power Control and Fuzzy Pairing in V2X Communications

Abstract

In this article, a joint power control and pairing-based resource allocation problem in the vehicle-to-everything (V2X) network are studied. This V2X network consists of a vehicle-to-infrastructure (V2I) link and a vehicle-to-vehicle (V2V) link. Therefore, the resource allocation problem has been formulated with the objective function of maximizing the V2I link's rate with the constraints of quality of service. Due to its NP hard nature, the original resource allocation problem is divided into two subproblems of power control and pairing. The power control subproblem is transformed into a convex problem using an exponential variable change. A fuzzy decision-making method is exploited to solve the pairing subproblem to have a highly reliable and stable V2V link. Then, the proposed joint power control and pairing-based resource allocation technique is evaluated with a simulated highway and compared with similar pairing algorithms. These performance comparisons reveal that the stability of the proposed resource allocation technique outperforms the other related methods.