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Resource management for QoS support in cognitive radio networks

Resource management for QoS support in cognitive radio networks

Arshad, Kamran, MacKenzie, Richard, Celentano, Ulrico, Drozdy, Arpad, Leveil, Stéphanie, Mange, Geneviève, Rico, Juan, Medela, Arturo and Rosik, Christophe (2014) Resource management for QoS support in cognitive radio networks. IEEE Communications Magazine, 52 (3). pp. 114-120. ISSN 0163-6804 (doi:https://doi.org/10.1109/MCOM.2014.6766095)

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Abstract

Cognitive radio technology is a key enabler to reuse a finite, scarce, and expensive resource: the radio spectrum. Guaranteeing required levels of QoS to cognitive users and ensuring necessary protection to incumbent users are the two main challenges in opportunistic spectrum access. This article identifies the main requirements and challenges for QoS support in cognitive radio networks. A framework for a twofold cognitive manager is presented; one part managing spectrum availability on longer timescales and the other handling resource management on shorter timescales. This article gives particular focus to the functionalities of the latter cognitive manager related to resource management. Finally, we present a few key scenarios and describe how QoS can be managed with the proposed approach without disturbing the communications of incumbent users.

Item Type: Article
Additional Information: [1] Acknowledgements (funding): The research leading to these results was derived from the European Community’s Seventh Framework Programme (FP7) under Grant Agreement number 248454 (QoSMOS).
Uncontrolled Keywords: cognitive radio, quality of service, radio spectrum management, resource allocation, telecommunication network management, QoS support, cognitive manager, cognitive radio networks, expensive resource reuse, finite resource reuse, opportunistic spectrum access, qualit-of-service, resource management handling, scarce resource reuse, spectrum availability management, Ad hoc networks, cognitive radio, databases, network topology, quality of service, resource management, sensors
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 08 Nov 2019 13:21
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/12896

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