Game Theory Based Power Allocation Algorithm in High-Speed Mobile Environment

Recently, the high-speed railway has developed rapidly. In a wireless fading channel, sharing the same physical resources, user equipments (UEs) with high speed (HUE) and UEs in a macro cell (MUE) interfere with each other. A power allocation scheme in high-speed mobile environment is considered to suppress such interference. Specifically, our power allocation scheme aims at maximizing the effective capacity of users. Besides, each user tries to compete for these resources to satisfy its own quality of service (QoS) guarantee. In order to handle the selfish behaviors of two users, the power allocation problem for the MUE and the HUE is modeled as a non-cooperative game. Then the existence of the Nash Equilibrium of the game is established, as well as its uniqueness. Simulation results show our power allocation scheme has a better performance.