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Tunable RF Front-Ends and Robust Sensing Algorithms for Cognitive Radio Receivers

Tunable RF Front-Ends and Robust Sensing Algorithms for Cognitive Radio Receivers

L. Safatly, A. H. Ramadan, M. Al-Husseini, Y. Nasser, K. Y. Kabalan, A. El-Hajj
Copyright: © 2015 |Pages: 32
ISBN13: 9781466665712|ISBN10: 1466665718|EISBN13: 9781466665729
DOI: 10.4018/978-1-4666-6571-2.ch003
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MLA

Safatly, L., et al. "Tunable RF Front-Ends and Robust Sensing Algorithms for Cognitive Radio Receivers." 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. 68-99. https://doi.org/10.4018/978-1-4666-6571-2.ch003

APA

Safatly, L., Ramadan, A. H., Al-Husseini, M., Nasser, Y., Kabalan, K. Y., & El-Hajj, A. (2015). Tunable RF Front-Ends and Robust Sensing Algorithms for Cognitive Radio Receivers. In N. Kaabouch & W. Hu (Eds.), Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management (pp. 68-99). IGI Global. https://doi.org/10.4018/978-1-4666-6571-2.ch003

Chicago

Safatly, L., et al. "Tunable RF Front-Ends and Robust Sensing Algorithms for Cognitive Radio Receivers." In Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, edited by Naima Kaabouch and Wen-Chen Hu, 68-99. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6571-2.ch003

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Abstract

In this chapter, the concepts of Cognitive Radio (CR) and multi-dimensional spectrum sensing are introduced. Spectrum sensing methodologies, energy efficiency consideration, resources scheduling, and self-management and learning mechanisms in cognitive radio networks are also discussed. The entailed challenges of CR RF front-end architectures are looked into. The synthesis and design performance analysis of a tunable RF front-end sensing receiver for CR applications are presented. The chapter also discusses how sensing performance degradation, which is due to RF impairments, is analytically evaluated. Spectrum sensing algorithms that correct imperfect RF issues by compensating induced error effects through digital baseband processing are also illustrated.

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