认知无线电网络频谱共享中的带宽竞争

Bandwidth competition for spectrum sharing in cognitive radio networks

在认知无线电网络中,考虑多个主系统以频谱数量竞争向次级用户租借频谱的频谱共享问题,而次级用户以机会方式使用该频谱.将此视为垄断市场的竞争问题,提出了一个频谱买卖的市场模型,每个主系统在服务质量(QoS)限制条件下,最大化自身的利益.对于次级系统而言,利用效用函数来获得逆需求函数.采用分布式算法得出了动态博弈的解及收敛区域.数值结果表明动态博弈的解在收敛区域内能收敛到纳什均衡解.

We address the problem of spectrum sharing in cognitive radio networks where multiple primary service providers compete with each other to offer spectrum access opportunities to the secondary users.We formulate this problem as an oligopoly market competition and present spectrum trading model of the oligopoly market,each of the primary service providers aim to maximize its profit under quality of service（QoS） constraint for primary service.For the secondary service,we adopt a utility function to obtain the inverse demand function.We present distributed algorithms to obtain the solution for the dynamic game.The numerical results reveal the solution convergence to the Nash equilibrium.