A Proactive Resource Allocation Algorithm for UAV-Assisted V2X Communication Based on Dynamic Multi-Objective Optimization

This letter addresses a proactive resource allocation problem in an unmanned aerial vehicles (UAV)-assisted vehicle-to-everything (V2X) communication network. The problem, which can be formulated from the perspective of dynamic multi-objective optimization (DMO), focuses on the decisions of power control, rate selection, and channel allocation with the aim to balance the decision objectives of heterogeneous V2X links while ensuring the network's quality of service (QoS). We propose a novel algorithm that enables quick decision-making in a dynamic environment, by predicting the future channel state information (CSI) and searching for the solution set of the problem before the environment changes. The effectiveness and advantages of the proposed method are demonstrated by simulation experiments.