This paper investigates the cooperative transmission and resource allocation in cloud based integrated terrestrial-satellite networks, where a resource pool at the cloud acts as the integrated resource management and control center of the entire network. Considering the operator offers two levels of services of different quality of service (QoS) and price, we formulate a two-layer game based resource allocation problem to maximize the utility of the operator, which is composed of the Stackelberg game between the operator and users, the evolutionary game between all users, and the energy minimization problem. By solving the evolutionary game with replicator dynamics, the selections of users are obtained for any pricing strategy. Then, based on the service selections of users, the energy minimization problem is solved to allocate power and computation resources among users while satisfying the QoS constraints. By analyzing the evolution relationship between the utility and the pricing strategy, we eventually find the Stackelberg equilibrium point of the system, and obtain the optimal pricing as well as the resource allocation strategies for the operator. Finally, numerical results are provided to analyze the behavior of users in the game model, and evaluate the performance of the optimal pricing and resource allocation strategies.

中文翻译：

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基于云的综合地面卫星网络中基于两层博弈的资源分配

本文研究了基于云的地面卫星综合网络中的协同传输和资源分配，其中云资源池作为整个网络的综合资源管理和控制中心。考虑到运营商提供不同服务质量（QoS）和价格的两个级别的服务，我们制定了一个基于两层博弈的资源分配问题，以最大化运营商的效用，由运营商和用户之间的 Stackelberg 博弈组成，所有用户之间的进化博弈，以及能量最小化问题。通过使用复制器动力学解决进化博弈，可以为任何定价策略获得用户的选择。然后，根据用户的服务选择，解决了能量最小化问题，在满足 QoS 约束的同时在用户之间分配功率和计算资源。通过分析效用与定价策略的演化关系，最终找到系统的Stackelberg均衡点，得到最优定价以及运营商的资源配置策略。最后，提供数值结果来分析用户在博弈模型中的行为，并评估最优定价和资源分配策略的性能。并为运营商获取最优定价和资源分配策略。最后，提供数值结果来分析用户在博弈模型中的行为，并评估最优定价和资源分配策略的性能。并为运营商获取最优定价和资源分配策略。最后，提供数值结果来分析用户在博弈模型中的行为，并评估最优定价和资源分配策略的性能。