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针对认知无线网络频谱资源管理的功率控制,提出一种基于网络负载的非合作博弈的功率控制算法.本文以非合作博弈为根本方法,引入网络负载因子,在干扰强度和信干比阈值的限制条件下,进行发射功率调节,并进行功率调整历史值的当地保存,证明本效用函数设计的纳什均衡解的唯一性与帕累托最优性.最后进行仿真实验,仿真结果表明,网络负载因子的引入,使得功率调整的迭代收敛速度加快,功率消耗减少.历史功率值的保存,提高了功率控制的速度.与此同时,加快算法的收敛速度,与SIR(signal to interference ratio)平衡算法和Koskie-Gajic算法进行性能比较,本功率控制算法更为有效地降低功率消耗.
Aiming at the power control of cognitive radio network spectrum resource management, this paper proposes a power control algorithm based on network load in non-cooperative game.In this paper, the non-cooperative game is the basic method, the network load factor is introduced, Under the conditions of the transmission power adjustment, and the power adjustment of the historical value of the local preservation, proof of the utility function design Nash equilibrium uniqueness and Pareto optimality.Finally, the simulation experiments show that the network load factor The convergence of power adjustment is accelerated and the power consumption is reduced.The preservation of historical power value enhances the speed of power control.At the same time, the speed of convergence of the algorithm is accelerated with the SIR (signal to interference ratio) balance algorithm and Koskie-Gajic algorithm for performance comparison, the power control algorithm is more effective in reducing power consumption.