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Bargaining-based spectrum sharing for cognitive radio networks with incomplete information

机译:具有不完整信息的认知无线电网络的讨价还价的频谱共享

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摘要

To improve the utilization of spectrum resource, a primary network can share its unused bandwidth with a closely located secondary network. As a compensation, the latter should pay a certain price for the obtained bandwidth. To determine this price under the constraint that the primary network only knows an incomplete information for the utility of the secondary network, the present paper consider the repeated offering of a price from the primary network to the secondary network, which then can accept or reject it, until they reach a price agreement. Since this bargaining process helps the primary network estimate the real utility of the secondary network as accurate as possible, the agreed price is mutually beneficial for both networks. Moreover, to increase the satisfaction of all secondary terminals in transmitting heterogeneous applications, i.e., voice, video, image, and data, we also propose a spectrum allocation solution within the secondary network based on Nash bargaining model. Numerical simulation shows that the benefits of the two networks from spectrum sharing varies with their maximal bargaining times and the proposed spectrum allocation scheme can improve the total satisfaction of all secondary terminals while maintain a reasonable fairness among them.
机译:为了提高频谱资源的利用率,主网络可以与密切所在的二级网络共享其未使用的带宽。作为赔偿,后者应为获得的带宽支付一定的价格。要确定本价格根据主网络仅对辅助网络的实用程序知道不完整信息,本文将重复提供从主网络到二级网络的价格,然后可以接受或拒绝它,直到他们达到价格协议。由于该讨价还价的过程有助于主网络估计二级网络的实用性尽可能准确,但商定的价格对两个网络相互有益。此外,为了增加传输异构应用中的所有辅助端子的满足,即语音,视频,图像和数据,我们还基于NASH讨价还价模型提出了辅助网络内的频谱分配解决方案。数值模拟表明,来自频谱共享的两个网络的益处随着它们的最大议价时间而变化,并且所提出的频谱分配方案可以提高所有二级端子的总满意度,同时保持它们之间的合理公平。

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