Abstract:

To address the problem of inadequate infrastructure and inability to provide reliable communication in remote areas or disaster scenarios， a non orthogonal multiple access relay system with multiple drones assisting users is proposed. The system comprehensively considers constraints such as information causality， transmission power， and return delay， and jointly optimizes the offloading strategy， transmission power， resource allocation， and trajectory to achieve the goal of minimizing system energy consumption. Due to the non convexity and complexity of optimization problems， a two-stage online resource allocation scheme is designed for solving. In the first stage， to eliminate the dependence on uncertain information in complex scenarios， Lyapunov optimization theory is applied to decompose the optimization problem into three sub problems. In the second stage， an alternating iterative optimization algorithm was proposed： firstly， the user offloading decision was obtained based on the maximum weight matching algorithm； secondly， closed form solutions for transmission power and frequency allocation were obtained by utilizing auxiliary variable method， continuous convex approximation， and Lagrangian duality； finally， the trajectory planning problem is transformed into a convex problem and solved using the convex optimization tool. The simulation results show that compared to the benchmark algorithm， the proposed scheme significantly reduces system energy consumption while satisfying the long-term stability constraints of the system.

Key words: computer application, unmanned aerial vehicle, trajectory planning, resource allocation, energy minimization