Cross optimizing a fair access scheduling algorithm based on game theory

To date,optimization of multiple input multiple output(MIMO) systems is either made at the link level or at the system level.This can only generate sub optimal solutions,so a cross optimization fair scheduling algorithm based on game theory is proposed,in which a power allocation algorithm based on game theory is employed to adjust power allocation of all users of each antenna by combining scheduling strategy on the system level with physical optimization at the link level.Simulation results showed that the proposed algorithm not only provides fair channel access opportunities to users at the system level but also utilizes the spatial multiplexing of multiple-input multiple-output systems and antenna mapping to achieve cross optimization between the system level and the physical level.Mutual interference between users of different antennas is eliminated efficiently,without causing circulation of users' interferences.