基于潜在博弈论的频谱优化分配问题研究

摘要

针对认知无线电网络中的动态频谱分配问题,提出一种基于改进的干扰协调的频谱分配共享(Non-cooperation Spectrum Sharing Algorithm based on Interference Coordination,NCSSA-IC)算法.首先将频谱分配问题转换成联合优化问题,然后利用潜在博弈算法实现频谱最优的分配方案.认知用户选取使得系统干扰量最小化和吞吐量最大化的信道完成通信,从而实现频谱的最优化分配.最后,通过频谱分配仿真对提出的算法进行验证.结果表明:与其他算法相比,该算法能在较短时间内收敛到纳什均衡,系统总干扰水平降到最小、用户的吞吐量达到最大、用户的公平性有了明显提高,实现了频谱的高效利用.%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.