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Utility-based cooperative spectrum sensing scheduling in cognitive radio networks

机译:认知无线电网络中基于效用的协作频谱感知调度

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In this paper, we consider the problem of cooperative spectrum sensing scheduling (C3S) in a cognitive radio network when there exist multiple primary channels. Deviated from the existing research our work focuses on a scenario in which each secondary user has the freedom to decide whether or not to participate in cooperative spectrum sensing; if not, the SU becomes a free rider who can eavesdrop the decision about the channel status made by others. Such a mechanism can conserve the energy for spectrum sensing at a risk of scarifying the spectrum sensing performance. To overcome this problem, we address the following two questions: “which action (contributing to spectrum sensing or not) to take?” and “which channel to sense?” To answer the first question, we model our framework as an evolutionary game in which each SU makes its decision based on its utility history, and takes an action more frequently if it brings a relatively higher utility. We also develop an entropy based coalition formation algorithm to answer the second question, where each SU always chooses the coalition (channel) that brings the most information regarding the status of the corresponding channel. All the SUs selecting the same channel to sense form a coalition. Our simulation study indicates that the proposed scheme can guarantee the detection probability at a low false alarm rate.
机译:在本文中,当存在多个主要信道时,我们考虑了认知无线电网络中的协作频谱感知调度(C3S)问题。与现有研究不同的是,我们的工作重点是以下场景:每个二级用户都可以自由决定是否参与协作频谱感知。如果不是,则SU成为一个免费的骑手,可以窃听其他人做出的有关通道状态的决定。这样的机制可以节省用于频谱感测的能量,而有损害频谱感测性能的风险。为了解决这个问题,我们解决了以下两个问题:“采取哪种行动(是否有助于频谱感应)?”和“要感知哪个渠道?”为了回答第一个问题,我们将框架建模为一个演化游戏,其中每个SU都根据其效用历史做出决策,如果带来相对较高的效用,则采取更频繁的行动。我们还开发了一种基于熵的联盟形成算法来回答第二个问题,其中每个SU总是选择带来有关相应信道状态的最多信息的联盟(信道)。所有SU选择相同的通道进行感知组成联盟。我们的仿真研究表明,提出的方案可以保证低虚警率下的检测概率。

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