提出一种基于合作重复博弈的认知无线电频谱共享算法.针对频谱共享速率总收益最大化问题求解,在算法模型中采用了“触发策略”以得到帕累托最优解.性能分析和仿真结果表明:当认知用户在共享频谱时,采取合作方式可达到总收益最大化的设计初衷.进而探讨了合作频谱共享算法的收敛性能,分析了发射功率、噪声功率、贴现因子以及收敛指数对频谱共享算法收敛性能的影响,并得出结论.%The paper proposes a spectrum sharing algorithm based on the repeated game theory for cognitive radios. The appropriate "trigger strategy" is adopted to maximize the total rate profit of spectrum sharing and Pareto optimality. Performance analysis and simulation results show that the cooperative strategy for spectrum sharing can get the goal of total profits maximization. Next, the convergence behavior of the spectrum sharing algorithm is investigated in consideration of the impacts of the transmission power, noise power, discount factor and convergence coefficient. Finally, relevant conclusions are drawn.
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