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Software Defined Cognitive Radio Network Framework: Design and Evaluation

Software Defined Cognitive Radio Network Framework: Design and Evaluation

Yaser Jararweh, Mahmoud Al-Ayyoub, Ahmad Doulat, Ahmad Al Abed Al Aziz, Haythem A. Bany Salameh, Abdallah A. Khreishah
Copyright: © 2015 |Volume: 7 |Issue: 1 |Pages: 17
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466676657|DOI: 10.4018/ijghpc.2015010102
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MLA

Jararweh, Yaser, et al. "Software Defined Cognitive Radio Network Framework: Design and Evaluation." IJGHPC vol.7, no.1 2015: pp.15-31. http://doi.org/10.4018/ijghpc.2015010102

APA

Jararweh, Y., Al-Ayyoub, M., Doulat, A., Al Aziz, A. A., Salameh, H. A., & Khreishah, A. A. (2015). Software Defined Cognitive Radio Network Framework: Design and Evaluation. International Journal of Grid and High Performance Computing (IJGHPC), 7(1), 15-31. http://doi.org/10.4018/ijghpc.2015010102

Chicago

Jararweh, Yaser, et al. "Software Defined Cognitive Radio Network Framework: Design and Evaluation," International Journal of Grid and High Performance Computing (IJGHPC) 7, no.1: 15-31. http://doi.org/10.4018/ijghpc.2015010102

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Abstract

Software defined networking (SDN) provides a novel network resource management framework that overcomes several challenges related to network resources management. On the other hand, Cognitive Radio (CR) technology is a promising paradigm for addressing the spectrum scarcity problem through efficient dynamic spectrum access (DSA). In this paper, the authors introduce a virtualization based SDN resource management framework for cognitive radio networks (CRNs). The framework uses the concept of multilayer hypervisors for efficient resources allocation. It also introduces a semi-decentralized control scheme that allows the CRN Base Station (BS) to delegate some of the management responsibilities to the network users. The main objective of the proposed framework is to reduce the CR users' reliance on the CRN BS and physical network resources while improving the network performance by reducing the control overhead.

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