Potential Game-Based Radio Resource Allocation in Uplink Multibeam Satellite IoT Networks
Xiaokai Zhang, Bangning Zhang, Daoxing Guo, Kang An, Shuai Qi, Gang Wu
Abstract
In this article, we introduce a potential game-based approach to implement collaborative user scheduling and power allocation in the uplink multibeam satellite-based Internet of things (S-IoT) networks. First of all, a framework of the multibeam uplink S-IoT system is proposed, where full frequency reuse and co-channel interference among different spot beams are considered. To provide broadband S-IoT service effectively, we formulate an initial optimization problem of maximizing uplink sum transmission capacity and then transform it into an interference avoidance problem to address the mathematical intractability. Specifically, a game-theoretic model is implemented to solve the transformed optimization problem, which is proved to be a potential game and existence of Nash equilibriums (NEs). Moreover, an iterative algorithm with low computational complexity, motivated by the finite improvement property, is designed to implement collaborative user scheduling and power allocation to NE point. Finally, the simulation results prove the convergence and effectiveness of the proposed potential game-based approach.