Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV Communication Networks
<|reference_start|>Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV Communication Networks: In contrast to terrestrial wireless networks, dynamic Unmanned Aerial Vehicle (UAV) networks are susceptible to unexpected link failures arising from UAV breakdowns or the depletion of its batteries. Drastic user rate fluctuations and sum rate drops can occur due to the unexpected UAV link failures. Previous research has focused primarily on re-establishing these links to maintain service continuity, while neglecting overall system performance, including sum rate and user rate fluctuations. This letter proposes a resilient UAV network design utilizing the modern portfolio theory (MPT), which jointly optimizes the bandwidth allocation, UAV-user association, and UAV trajectories to enhance the overall service stability. Specifically, the design incorporates a novel utility function based on MPT to achieve a better balance between the sum rate and user rate fluctuations. To solve the joint optimization problem, we propose an iterative algorithm based on alternating optimization (AO) and successive convex approximation (SCA). Simulation results show that our scheme outperforms the other two baselines in terms of sum rate and user rate fluctuations. Furthermore, the resilience requirement in terms of sum rate, user rate fluctuations and user fairness can be achieved by flexibly tuning weight factor in our proposed algorithm.<|reference_end|>
@article{ge2024joint,
    title={Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV
  Communication Networks},
    author={Linghui Ge, Xiao Liang, Hua Zhang, Peihao Dong, Jianxin Liao, Jingyu
  Wang},
    journal={IEEE Wireless Communications Letters, 2024},
    year={2024},
    doi={10.1109/LWC.2024.3355397},
    archivePrefix={arXiv},
    eprint={2402.16864},
    primaryClass={cs.NI}
}