Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV Communication Networks

Abstract

In contrast to terrestrial wireless networks, dynamic Unmanned Aerial Vehicle\n(UAV) networks are susceptible to unexpected link failures arising from UAV\nbreakdowns or the depletion of its batteries. Drastic user rate fluctuations\nand sum rate drops can occur due to the unexpected UAV link failures. Previous\nresearch has focused primarily on re-establishing these links to maintain\nservice continuity, while neglecting overall system performance, including sum\nrate and user rate fluctuations. This letter proposes a resilient UAV network\ndesign utilizing the modern portfolio theory (MPT), which jointly optimizes the\nbandwidth allocation, UAV-user association, and UAV trajectories to enhance the\noverall service stability. Specifically, the design incorporates a novel\nutility function based on MPT to achieve a better balance between the sum rate\nand user rate fluctuations. To solve the joint optimization problem, we propose\nan iterative algorithm based on alternating optimization (AO) and successive\nconvex approximation (SCA). Simulation results show that our scheme outperforms\nthe other two baselines in terms of sum rate and user rate fluctuations.\nFurthermore, the resilience requirement in terms of sum rate, user rate\nfluctuations and user fairness can be achieved by flexibly tuning weight factor\nin our proposed algorithm.\n