Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC
<|reference_start|>Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC: Utilizing unmanned aerial vehicles (UAVs) with edge server to assist terrestrial mobile edge computing (MEC) has attracted tremendous attention. Nevertheless, state-of-the-art schemes based on deterministic optimizations or single-objective reinforcement learning (RL) cannot reduce the backlog of task bits and simultaneously improve energy efficiency in highly dynamic network environments, where the design problem amounts to a sequential decision-making problem. In order to address the aforementioned problems, as well as the curses of dimensionality introduced by the growing number of terrestrial terrestrial users, this paper proposes a distributed multi-objective (MO) dynamic trajectory planning and offloading scheduling scheme, integrated with MORL and the kernel method. The design of n-step return is also applied to average fluctuations in the backlog. Numerical results reveal that the n-step return can benefit the proposed kernel-based approach, achieving significant improvement in the long-term average backlog performance, compared to the conventional 1-step return design. Due to such design and the kernel-based neural network, to which decision-making features can be continuously added, the kernel-based approach can outperform the approach based on fully-connected deep neural network, yielding improvement in energy consumption and the backlog performance, as well as a significant reduction in decision-making and online learning time.<|reference_end|>
@article{huang2024distributed,
    title={Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground
  Cooperative MEC},
    author={Yang Huang, Miaomiao Dong, Yijie Mao, Wenqiang Liu, and Zhen Gao},
    journal={arXiv preprint arXiv:2403.10927},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.10927},
    primaryClass={cs.IT cs.LG math.IT}
}