Research on Spectrum Sharing Algorithm Based on Potential Game Theory

摘要

Aiming at the problem of dynamic spectrum allocation in cognitive radio network, a novel spectrum allocation sharing algorithm based on improved interference coordination（Non-cooperation Spectrum Sharing Algorithm based on Interference Coordination, NCSSA-IC）is proposed. Firstly, the spectrum allocation problem is transformed into joint optimization problem. Then, the potential game algorithm is used to realize the optimal spectrum allocation scheme. In the stage of allocation, the second users choose the communication channel that can minimize the interference and maximize the throughput of the system, thus achieving the optimal spectrum allocation. Finally, the proposed algorithm is compared with other algorithms verified by spectrum allocation simulation. All the experiment results indicate that the proposed algorithm could converge to Nash equilibrium in a short time, and the total interference of the system is reduced to minimal and the throughput of the user could reach the maximum. Meanwhile the fairness of the users is greatly improved, and the efficient utilization of the spectrum realized.