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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks

Jun Ma, Guodong Zhao, Ye Li·2008·IEEE Transactions on Wireless Communications

Abstract

In this letter, we consider cooperative spectrum sensing based on energy detection in cognitive radio networks. Soft combination of the observed energies from different cognitive radio users is investigated. Based on the Neyman-Pearson criterion, we obtain an optimal soft combination scheme that maximizes the detection probability for a given false alarm probability. Encouraged by the performance gain of soft combination, we further propose a new softened hard combination scheme with two-bit overhead for each user and achieve a good tradeoff between detection performance and complexity.

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Metadata

Authors
Ma, J., Zhao, G., & Li, Y.
Venue
IEEE Transactions on Wireless Communications
Published
2008-11
Volume
7
Issue
11
Pages
4502-4507
ISSN
1536-1276 (ISSN-L)
OpenAlex
W2146315101
Cited by
732
References
14
FWCI
81.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks. https://app.cochat.ai/papers/10.1109/t-wc.2008.070941
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Ma, J., Zhao, G., & Li, Y. (2008). Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/t-wc.2008.070941

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