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Spectrum sharing in multi-channel cooperative cognitive radio networks: a coalitional game approach

机译:多通道协作认知无线电网络中的频谱共享:联合博弈方法

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In this paper, we study a coalitional game approach to resource allocation in a multi-channel cooperative cognitive radio network with multiple primary users (PUs) and secondary users (SUs). We propose to form the grand coalition by grouping all PUs and SUs in a set, where each PU can lease its spectrum to all SUs in a time-division manner while the SUs in return assist PUs’ data transmission as relays. We use the solution concept of the core to analyze the stability of the grand coalition, and the solution concept of the Shapley value to fairly divide the payoffs among the users. Due to the convexity of the proposed game, the Shapley value is shown to be in the core. We derive the optimal strategy for the SU, i.e., transmitting its own data or serving as a relay, that maximizes the sum rate of all PUs and SUs. The payoff allocations according to the core and the Shapley value are illustrated by an example, which demonstrates the benefits of forming the grand coalition as compared with non-coalition and other coalition schemes.
机译:在本文中,我们研究了一种具有多个主要用户(PU)和次要用户(SU)的多通道协作认知无线电网络中资源分配的联合博弈方法。我们建议通过将所有PU和SU分组到一个集合中来形成大联盟,其中每个PU可以按时分方式将其频谱租给所有SU,而SU则将返回的PU中继为PU。我们使用核心的解决方案概念分析大联盟的稳定性,并使用Shapley值的解决方案概念在用户之间平均分配收益。由于拟议博弈的凸性,Shapley值显示为核心。我们得出SU的最佳策略,即传输自己的数据或用作中继,以最大化所有PU和SU的总速率。通过一个示例说明了根据核心和Shapley值进行的收益分配,该示例展示了与非联盟计划和其他联盟计划相比,形成大联盟的好处。

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