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.

翻译：6G时代的到来旨在实现泛在连接，其中非地面网络（NTN）的集成提供了广覆盖和增强容量。随着制造技术的进步和用户需求的演变，具备计算能力的空天地一体化网络（SAGIN）成为低延迟和高计算需求服务的可行解决方案。联合通信与计算嵌入式空天地一体化网络（JCC-SAGIN）中的资源管理比传统地面网络更为复杂，这种复杂性源于网络拓扑和服务需求的时空动态性、大规模资源变量的相互依赖性以及多种性能指标间的复杂权衡。因此，深入研究JCC-SAGIN中的资源管理策略至关重要，尤其是强调具备处理能力的非地面平台在6G中的作用。本文首先回顾了JCC-SAGIN的架构、使能技术和应用，随后详细概述了资源管理建模与优化方法，涵盖传统优化方法和基于学习的智能决策框架。最后，我们展望了JCC-SAGIN的未来研究方向。