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- W2007176301 abstract "The paper investigates cluster-based Cooperative Spectrum Sensing (CSS) issues in two-layer hierarchical Cognitive Radio Networks (CRNs). Most previous studies focus on hard decision fusion under the assumption of perfect reporting channels. However, wireless channels are not error-free in reality. Therefore, we propose a novel cluster-based CSS scheme with imperfect reporting channels between SUs and cluster heads (CHs) to optimize cluster strategy. A weighted reporting channel method is adopted in our analysis. To further reduce the complexity, 1 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>st</sup> order Taylor series expansion approximation scheme is proposed. Numerical results show that the proposed scheme achieves a satisfying performance." @default.
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- W2007176301 date "2013-12-01" @default.
- W2007176301 modified "2023-09-29" @default.
- W2007176301 title "Cluster-based Cooperative Spectrum Sensing in two-layer hierarchical Cognitive Radio Networks" @default.
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- W2007176301 doi "https://doi.org/10.1109/glocom.2013.6831218" @default.
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