QoS-driven channel selection for heterogeneous cognitive radio networks

Authors:
Luca Zappaterra
Affiliations:
George Washington University, Washington, DC, USA
Venue:
Proceedings of the 2012 ACM conference on CoNEXT student workshop
Year:
2012

Citing 3
Cited 0

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Abstract

Cognitive radio (CR) technology allows secondary users (SUs) to exploit the wireless resources not utilized by licensed primary users (PUs). SU channel selection for finding transmission opportunities incurs non-negligible costs and is a key challenge in successful operation of Cognitive Radio Networks (CRNs). In this paper we present current research studies on algorithms for finding the optimal channels supporting SU Quality of Service (QoS) requirements.