基于删除的协作频谱感知分析与优化
doi: 10.3724/SP.J.1146.2012.01702
Analysis and Optimization of Censor-based Cooperative Spectrum Sensing
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摘要: 能量消耗是协作频谱感知中一个需要重点考虑的问题。为了降低信息上传能耗以延长认知无线网络中能量受限次用户的寿命,该文提出一种新的基于删除的协作频谱感知方案,其核心思想是各次用户仅当感知结果与其前一次不同时才向融合中心发送一个指示信号,否则不发送。对比分析了该方案中的上传能耗问题,并以保证主用户利益为约束条件,给出了频谱感知周期和能量检测门限的优化过程。理论分析和仿真结果表明,相比现有研究,提出的方案可以有效降低次用户的上传能耗而不带来任何感知性能的损失。Abstract: Energy consumption is an important consideration in Cooperative Spectrum Sensing (CSS). In order to reduce the data reporting energy and thus prolong the lifetime of Secondary User (SU) with energy constraint in Cognitive Radio Network (CRN), a novel censor-based CSS scheme is proposed. The philosophy of the proposed scheme is to let an SU to report only if the sensing result differs from its previous one. The reporting energy in the proposed scheme is investigated along with comparison, and the spectrum sensing period and energy detection threshold are then optimized subject to sufficient protection to the Primary User (PU). Theoretical analysis and simulation results show that, the proposed CSS scheme reduces the reporting energy significantly without any loss in sensing performance compared with existing studies.
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