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Analytical performance of collaborative spectrum sensing using censored energy detection

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Chen, Yunfei (2010) Analytical performance of collaborative spectrum sensing using censored energy detection. IEEE Transactions on Wireless Communications, Vol.9 (No.12). pp. 3856-3865. doi:10.1109/TWC.2010.100110.100473 ISSN 1536-1276.

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Official URL: http://dx.doi.org/10.1109/TWC.2010.100110.100473

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Abstract

The performance of collaborative spectrum sensing using censored energy detection is analyzed. Unlike the conventional energy detector that applies the measurements from the interested band directly to the decision-making process, the censored energy detector selects the measurements at different collaborating users by comparing them with two pre-determined limits before applying them to collaborative spectrum sensing. Both soft decision and hard decision rules are considered. Using the Neyman-Pearson criterion, analytical expressions for the probability of detection are derived and are verified by simulation. A simplified censored energy detector based on the Gamma approximation is also obtained. Using the derived results, it is shown that the censored energy detector outperforms the conventional energy detector when the optimum limits are used in the censoring. The performance gain depends on the decision rule, the operating signal-to-noise ratio and the number of collaborating users.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Journal or Publication Title: IEEE Transactions on Wireless Communications
Publisher: IEEE
ISSN: 1536-1276
Official Date: December 2010
Dates:
DateEvent
December 2010Published
Volume: Vol.9
Number: No.12
Number of Pages: 10
Page Range: pp. 3856-3865
DOI: 10.1109/TWC.2010.100110.100473
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 18 December 2015

Data sourced from Thomson Reuters' Web of Knowledge

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