Sensing Confidence Level-Based Joint Spectrum and Power Allocation in Cognitive Radio Networks

Authors:
Guoru Ding;Qihui Wu;Jinlong Wang
Affiliations:
College of Communications Engineering, PLA University of Science and Technology, Nanjing, China 210007;College of Communications Engineering, PLA University of Science and Technology, Nanjing, China 210007;College of Communications Engineering, PLA University of Science and Technology, Nanjing, China 210007
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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Abstract

Cognitive radio (CR) has been extensively investigated in the past decade to tackle the contradiction between wireless spectrum shortage and underutilization. In this paper, we present a unified analytical framework to design PHY-layer spectrum sensing and MAC-layer resource scheduling jointly for CR networks. A key parameter, named sensing confidence level (SCL), is introduced to characterize the presence of imperfect sensing, and bridge the designs between kinds of spectrum sensing schemes and resource allocation algorithms. The SCL-based joint design of spectrum and power allocation is formulated as a mixed integer non-linear optimization problem and Lagrange duality theory is introduced to make the problem tractable. The proposed joint design framework in this paper provides a baseline for comparing different spectrum sensing schemes plus bandwidth and power allocation algorithms. Numerical results demonstrate the effectiveness of the proposed framework.