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Cooperative Spectrum Sensing with Censoring of Cognitive Radios and MRC-Based Fusion in Fading and Shadowing Channels

Cooperative Spectrum Sensing with Censoring of Cognitive Radios and MRC-Based Fusion in Fading and Shadowing Channels

Srinivas Nallagonda, Sanjay Dhar Roy, Sumit Kundu, Gianluigi Ferrari, Riccardo Raheli
Copyright: © 2015 |Pages: 30
ISBN13: 9781466665712|ISBN10: 1466665718|EISBN13: 9781466665729
DOI: 10.4018/978-1-4666-6571-2.ch002
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MLA

Nallagonda, Srinivas, et al. "Cooperative Spectrum Sensing with Censoring of Cognitive Radios and MRC-Based Fusion in Fading and Shadowing Channels." Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, edited by Naima Kaabouch and Wen-Chen Hu, IGI Global, 2015, pp. 38-67. https://doi.org/10.4018/978-1-4666-6571-2.ch002

APA

Nallagonda, S., Roy, S. D., Kundu, S., Ferrari, G., & Raheli, R. (2015). Cooperative Spectrum Sensing with Censoring of Cognitive Radios and MRC-Based Fusion in Fading and Shadowing Channels. In N. Kaabouch & W. Hu (Eds.), Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management (pp. 38-67). IGI Global. https://doi.org/10.4018/978-1-4666-6571-2.ch002

Chicago

Nallagonda, Srinivas, et al. "Cooperative Spectrum Sensing with Censoring of Cognitive Radios and MRC-Based Fusion in Fading and Shadowing Channels." In Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, edited by Naima Kaabouch and Wen-Chen Hu, 38-67. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6571-2.ch002

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Abstract

In this chapter, the authors study the performance of Cooperative Spectrum Sensing (CSS) with soft data fusion, given by Maximal Ratio Combining (MRC)-based fusion with Weibull faded channels, and Log-normal shadowed channels. More precisely, they evaluate the performance of a MRC-based CSS with Cognitive Radios (CRs) censored on the basis of the quality of the reporting channels. The performance of CSS with two censoring schemes, namely rank-based and threshold-based, is studied in the presence of Weibull fading, Rayleigh fading, and Log-normal shadowing in the reporting channels, considering MRC fusion. The performance is compared with those of schemes based on hard decision fusion rules. Furthermore, depending on perfect or imperfect Minimum Mean Square Error (MMSE) channel estimation, the authors analyze the impact of channel estimation strategy on the censoring schemes. The performance is studied in terms of missed detection probability as a function of several network, fading, and shadowing parameters.

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