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Enhancing cooperative spectrum sensing in cognitive radio ad hoc networks using priority-based two-stage detection model

机译:使用基于优先级的两阶段检测模型增强认知无线电自组网中的协作频谱感知

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Cooperation among unlicensed secondary users was more significant in cognitive radio ad hoc networks (CRAHNs). The main challenges of CRAHNs now a day address the main issues of spectrum scarcity and underutilization. Due to the lack of channel sensing, cooperative spectrum sensing (CSS) is the main challenge in CRAHNs. Efficient CSS is more essential to enhance the detection of performance by utilizing the theoretical studies of spatially distributed secondary users (SUs). This paper uses the priority-based two-stage detection model (PBTSDM) to analyze the cooperation strategy among secondary users (SUs) and primary users (PUs). SUs in distributed CSS sense continuously amongst themselves and take unified decision on the presence or absence of PUs by using entropy-based energy detection mechanism. The simulation results reveal that the sensing accuracy in terms of sensing time and energy efficiency (in terms of minimum energy consumption) increased significantly by using the proposed scheme.
机译:在认知无线电自组织网络(CRAHN)中,无执照的二级用户之间的合作更为重要。如今,CRAHN的主要挑战是解决频谱稀缺和利用率不足的主要问题。由于缺乏信道感知,协作频谱感知(CSS)是CRAHN中的主要挑战。高效的CSS通过利用对空间分布的二级用户(SU)的理论研究来增强性能检测更为重要。本文使用基于优先级的两阶段检测模型(PBTSDM)来分析二级用户(SU)和主用户(PU)之间的合作策略。分布式CSS中的SU之间相互持续感知,并通过基于熵的能量检测机制对PU是否存在进行统一决策。仿真结果表明,通过使用所提出的方案,在感测时间和能量效率(在最小能量消耗方面)方面的感测精度显着提高。

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