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Cooperative game-theoretic approach to spectrum sharing in cognitive radios

机译:认知无线电中频谱共享的合作博弈论方法

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摘要

In this paper, a framework for modeling multi-user, multi-band, spectrum sensing and sharing problem in cognitive radios as a cooperative game (CG) in a characteristic form is proposed. Secondary users (SUs) jointly sense the spectrum and cooperatively detect primary user (PU) activity for identifying unoccupied spectrum bands. A CG is formulated to quantify and share the benefits of cooperation by accessing identified idle channels in a fair manner. The characteristic function describing the CG is based on the worth of SUs, which is calculated according to amount of work done for coalition by increasing awareness about state of spectrum that may also be seen as reduction in uncertainty about PU activity. Such CGs are balanced and super-additive, making resource allocation possible and providing SUs with an incentive to cooperate and form the grand coalition. Based on their worth, SUs get payoffs that are computed using singleton solutions. SUs use payoffs earned from sensing to bid for idle channels through a scheduling mechanism, in particular, the socially optimal Vickrey-Clarke-Groves auction. Simulation results show that, in comparison with other resource allocation models, the proposed CG model provides the best balance among fairness, cooperation and performance in terms of data rates obtained by SUs.
机译:本文提出了一种以特征形式将认知无线电中的多用户,多频带,频谱感知和共享问题建模为协作游戏(CG)的框架。次要用户(SU)共同感知频谱,并合作检测主要用户(PU)活动,以识别未占用的频谱带。制定了CG,以公平地访问已识别的空闲渠道来量化和共享合作的好处。描述CG的特征函数基于SU的价值,SU的价值是根据联盟为完成工作而计算的,方法是提高人们对频谱状态的了解,这也可以看作是减少了PU活动的不确定性。这样的CG是平衡的和超加性的,这使得资源分配成为可能,并为SU提供了合作和组建大联盟的动力。根据SU的价值,SU获得使用单例解决方案计算的收益。 SU使用通过调度机制(特别是社会上最理想的Vickrey-Clarke-Groves拍卖)从感知中获得的收益来竞标空闲频道。仿真结果表明,与其他资源分配模型相比,该提议的CG模型在SU所获得的数据速率方面提供了公平性,合作性和性能之间的最佳平衡。

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