Game Theory Based Power Allocation Method for Inter-satellite Links in LEO/MEO Two-layered Satellite Networks

Performance optimization of the inter-satellite link is the key to improve the performance of satellite networks. This article proposes a dynamic power allocation method for the inter-satellite link of Low Earth Orbit (LEO)/Medium Earth Orbit (MEO) satellites based on the computing power of LEO satellites. A utility function is designed according to the transmission characteristic of the inter-satellite link. The existence of the Nash Equilibrium (NE) of the utility function is proved based on the super-modular game theory. The LEO satellite obtains its balanced solution of the transmission power through the Newton iteration method. In this process, based on the initial orbit parameters of the satellite and the satellite operating time, the inter-satellite link distance is predicted through the spherical geometric relationship between the LEO/MEO satellites, so that the signal-to-interference and noise ratio (SINR) can be estimated in advance. The MEO satellite controls the penalty factor to enhance the utility of the entire network. Simulation results show that the proposed power allocation method achieves the purpose of saving power resources while improving system performance.