A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN
<|reference_start|>A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN: The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As manufacturing advances and user demands evolve, space-air-ground integrated networks (SAGIN) with computational capabilities emerge as a viable solution for services requiring low latency and high computational power. Resource management within joint communication and computing-embedded SAGIN (JCC-SAGIN) presents greater complexity than traditional terrestrial networks. This complexity arises from the spatiotemporal dynamics of network topology and service demand, the interdependency of large-scale resource variables, and intricate tradeoffs among various performance metrics. Thus, a thorough examination of resource management strategies in JCC-SAGIN is crucial, emphasizing the role of non-terrestrial platforms with processing capabilities in 6G. This paper begins by reviewing the architecture, enabling technologies, and applications in JCC-SAGIN. Then, we offer a detailed overview of resource management modeling and optimization methods, encompassing both traditional optimization approaches and learning-based intelligent decision-making frameworks. Finally, we outline the prospective research directions in JCC-SAGIN.<|reference_end|>
@article{chen2024a,
    title={A Survey on Resource Management in Joint Communication and
  Computing-Embedded SAGIN},
    author={Qian Chen, Zheng Guo, Weixiao Meng, Shuai Han, Cheng Li, Tony Q. S.
  Quek},
    journal={arXiv preprint arXiv:2403.17400},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.17400},
    primaryClass={cs.NI cs.DC}
}