Stackelberg Game-Based Anti-Jamming Channel Selection in Satellite-Terrestrial Networks

This paper proposes a game-based anti-jamming channel selection method for satellite-terrestrial networks. Firstly, to address the insufficient consideration of user demands in existing schemes, a Mean Opinion Score (MOS)-based Quality of Experience (QoE) model is established. Secondly, the interaction between jammer and users is modeled as a one-leader multi-follower Stackelberg game, while local cooperation among users is formulated as a local altruistic game. Finally, a hierarchical Q-learning with spatial altruistic play (HQ-SAP) algorithm is proposed to obtain the game equilibrium solution. Simulations validate its convergence and effectiveness, achieving a good satisfaction rate for the network.