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Optimal Primary-User Mobility Aware Spectrum Sensing Design for Cognitive Radio Networks

机译:认知无线电网络的最佳主用户移动感知频谱感知设计

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A key issue of the spectrum sensing functionality in Cognitive Radio (CR) networks is the ability of tuning the sensing time parameters, i.e., the sensing time and the transmission time, according to the Primary User (PU) network dynamics. In fact, these parameters influence both the spectrum sensing efficiency and the PU interference avoidance. This issue becomes even more challenging in presence of PU mobility. In this paper, an optimal spectrum sensing design for mobile PU scenarios is proposed with the aim to achieve the following important features: i) to determine the optimal mobility-aware transmission time, i.e., the transmission time value that jointly maximizes the spectrum sensing efficiency and satisfies the PU interference constraint; ii) to determine the optimal mobility-aware sensing time threshold, i.e., the maximum sensing time value assuring efficient spectrum sensing. First, closed-form expressions of both the optimal transmission time and the optimal sensing time threshold are analytically derived for a general PU mobility model. Then, the derived expressions are specialized for two widely adopted mobility models, i.e., the Random Walk mobility Model with reflection and the Random Way-Point mobility Model. Practical rules for the sensing parameter tuning are provided with reference to the considered mobility models. The analytical results are finally validated through simulations.
机译:认知无线电(CR)网络中的频谱感测功能的关键问题是根据主要用户(PU)网络动态调整感测时间参数(即感测时间和传输时间)的能力。实际上,这些参数会影响频谱感测效率和避免PU干扰。在存在PU移动性的情况下,这个问题变得更具挑战性。本文提出了一种用于移动PU场景的最佳频谱感知设计,旨在实现以下重要特征:i)确定最佳的移动感知传输时间,即共同最大化频谱感知效率的传输时间值并满足PU干扰约束; ii)确定最佳的感知移动性的感应时间阈值,即最大感应时间值,以确保有效的频谱感应。首先,对于一般的PU移动性模型,解析地导出了最佳传输时间和最佳感测时间阈值的闭式表达式。然后,导出的表达式专用于两个广泛采用的移动性模型,即具有反射的随机游走移动性模型和随机路点移动性模型。参考所考虑的迁移率模型提供了用于感测参数调整的实用规则。最后通过仿真验证分析结果。

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