Performance-traffic tradeoff in eigenvalue fusion and decision fusion for spectrum sensing of OFDMA signals under errors in the reporting channel

Dayan Adionel Guimarães (), Lucas dos Santos Costa () and Rausley Adriano Amaral Souza ()
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Dayan Adionel Guimarães: National Institute of Telecommunications (Inatel)
Lucas dos Santos Costa: National Institute of Telecommunications (Inatel)
Rausley Adriano Amaral Souza: National Institute of Telecommunications (Inatel)

Telecommunication Systems: Modelling, Analysis, Design and Management, 2016, vol. 63, issue 4, No 2, 505-521

Abstract: Abstract The eigenvalue (EV) fusion technique was recently proposed for detecting idle subchannels of OFDMA signals in centralized cooperative spectrum sensing for cognitive radio (CR). It has been shown that the technique outperforms the conventional decision fusion, in spite of the larger volume of data reported to the fusion center. It has been conjectured, though, that bit errors in the reporting channel could be more disastrous to the data carrying CR decisions than to the data carrying EVs. In this paper we investigate this conjecture and conclude that it is partially true: CR decisions can be more sensitive to channel errors, but the amount of redundancy inserted to protect the decisions does not always lead to a larger number of bits compared to the EV fusion. Then, performance and traffic in the reporting channel must be traded when deciding upon the fusion scheme to be adopted. We also suggest a modified version of the original EV fusion and show that it can achieve approximately the same performance of the original one, with a significant reduction in the reporting channel traffic.

Keywords: Cognitive radio; Eigenvalue fusion; Eigenvalue spectrum sensing; Wideband spectrum sensing; Orthogonal frequency division multiple access (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11235-016-0138-6

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