Resource management is one of the challenges in satellite networks due to their high mobility, wide coverage, long propagation distances, and stringent constraints on energy, communication, and computation resources. Traditional resource allocation approaches rely only on hard and rigid system performance metrics. Meanwhile, incentive mechanisms, which are based on game theory and auction theory, investigate systems from the "economic" perspective in addition to the "system" perspective. Particularly, incentive mechanisms are able to take into account rationality and other behavior of human users into account, which guarantees benefits/utility of all system entities, thereby improving the scalability, adaptability, and fairness in resource allocation. This paper presents a comprehensive survey of incentive mechanism design for resource management in satellite networks. The paper covers key issues in the satellite networks, such as communication resource allocation, computation offloading, privacy and security, and coordination. We conclude with future research directions including learning-based mechanism design for satellite networks.

翻译：资源管理是卫星网络面临的挑战之一，这源于其高移动性、广覆盖范围、长传播距离以及对能源、通信和计算资源的严格约束。传统的资源分配方法仅依赖于硬性且僵化的系统性能指标。与此同时，基于博弈论和拍卖理论的激励机制，除了从“系统”视角外，还从“经济”视角研究系统。特别是，激励机制能够将人类用户的理性及其他行为纳入考量，从而保障所有系统实体的收益/效用，进而提高资源分配的可扩展性、适应性和公平性。本文对卫星网络资源管理的激励机制设计进行了全面综述。论文涵盖了卫星网络中的关键问题，如通信资源分配、计算卸载、隐私与安全以及协同协调。最后，我们总结了未来的研究方向，包括面向卫星网络的基于学习的机制设计。