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Cooperative Spectrum Sensing in the DSA: Simulation of Spectrum Sensing Time Consumptions by Cognitive Radio Secondary Users

机译:DSA中的协作频谱感知:认知无线电二次用户的频谱感知时间消耗的仿真

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Wireless Communication and Signal Processing have become areas of flourishing research and innovation. Mathematical Modeling and Computational Simulations emerge as powerful ways to describe, analyze and control situations, solve problems and then interpret the results. The aim of this paper is to analyze the optimal sensing time made by cognitive radio secondary users during cooperative spectrum sensing in the Distributed Spectrum Utilization. The optimal time made by each cognitive radio user participating in cooperative spectrum sensing is modelled as a stochastic differential equation. The combination of all these sensing of the spectrum leads to a system of stochastic differential equations which is solved using a Runge-Kutta method. Computational simulations are provided to show that the total spectrum sensing time made by cognitive radios in the cooperative spectrum sensing is less than the total time they made in the spectrum sensing without cooperation.
机译:无线通信和信号处理已成为蓬勃发展的研究和创新领域。数学建模和计算仿真是描述,分析和控制情况,解决问题然后解释结果的强大方法。本文的目的是分析分布式频谱利用中协作无线电频谱感知中认知无线电次要用户的最佳感知时间。每个参与协作频谱感知的认知无线电用户所做出的最佳时间被建模为随机微分方程。所有这些对频谱的感测的结合导致了随机微分方程系统,该系统使用Runge-Kutta方法进行求解。提供了计算仿真,以显示认知无线电在协作频谱感知中进行的总频谱感知时间小于他们在不协作的频谱感知中进行的总时间。

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