Sensing Confidence Level-Based Joint Spectrum and Power Allocation in Cognitive Radio Networks
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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.
KeywordsCognitive radio Sensing confidence level Spectrum sensing Resource allocation Joint design
Cooperative spectrum sensing
Cognitive radio network
Soft sensing information
Hard sensing information
Raw sensing information
secondary base station
Local one-bit hard decision and global one-bit hard decision
Local one-bit hard decision and global soft fusion
local soft sensing and global soft fusion
Channel state information
Sensing confidence level
Sensing error percentage
The authors would like to thank the associate editor and the anonymous reviewers for their precious time and constructive comments, which have greatly improved the quality of this article. This work was supported in part by the National Basic Research Program of China (No. 2009CB320400), the National Natural Science Foundation of China (Nos. 60932002 and 6117206), and the Natural Science Foundation of Jiangsu, China (No. BK2011116).
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