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MAC Layer Spectrum Sensing in Cognitive Radio Networks

MAC Layer Spectrum Sensing in Cognitive Radio Networks

Mohamed Hamid, Abbas Mohammed
Copyright: © 2013 |Pages: 21
ISBN13: 9781466628120|ISBN10: 146662812X|EISBN13: 9781466628137
DOI: 10.4018/978-1-4666-2812-0.ch010
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MLA

Hamid, Mohamed, and Abbas Mohammed. "MAC Layer Spectrum Sensing in Cognitive Radio Networks." Self-Organization and Green Applications in Cognitive Radio Networks, edited by Anwer Al-Dulaimi, et al., IGI Global, 2013, pp. 210-230. https://doi.org/10.4018/978-1-4666-2812-0.ch010

APA

Hamid, M. & Mohammed, A. (2013). MAC Layer Spectrum Sensing in Cognitive Radio Networks. In A. Al-Dulaimi, J. Cosmas, & A. Mohammed (Eds.), Self-Organization and Green Applications in Cognitive Radio Networks (pp. 210-230). IGI Global. https://doi.org/10.4018/978-1-4666-2812-0.ch010

Chicago

Hamid, Mohamed, and Abbas Mohammed. "MAC Layer Spectrum Sensing in Cognitive Radio Networks." In Self-Organization and Green Applications in Cognitive Radio Networks, edited by Anwer Al-Dulaimi, John Cosmas, and Abbas Mohammed, 210-230. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2812-0.ch010

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Abstract

Efficient use of the available licensed radio spectrum is becoming increasingly difficult as the demand and usage of the radio spectrum increases. This usage of the spectrum is not uniform within the licensed band but concentrated in certain frequencies of the spectrum while other parts of the spectrum are inefficiently utilized. In cognitive radio environments, the primary users are allocated licensed frequency bands while secondary cognitive users can dynamically allocate the empty frequencies within the licensed frequency band, according to their requested quality of service specifications. In this chapter, the authors investigate and assess the performance of MAC layer sensing schemes in cognitive radio networks. Two performance metrics are used to assess the performance of the sensing schemes: the available spectrum utilization and the idle channel search delay for reactive and proactive sensing schemes. In proactive sensing, the adapted and non-adapted sensing period schemes are also assessed. Simulation results show that proactive sensing with adapted periods provides superior performance at the expense of higher computational cost performed by network nodes.

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