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

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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.

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Abbreviations

CSS:

Cooperative spectrum sensing

CR:

Cognitive radio

PN:

Primary network

CRN:

Cognitive radio network

SU:

Secondary user

PU:

Primary user

SSI:

Soft sensing information

HSI:

Hard sensing information

RSI:

Raw sensing information

SBS:

secondary base station

LHGH:

Local one-bit hard decision and global one-bit hard decision

LHGS:

Local one-bit hard decision and global soft fusion

LSGS:

local soft sensing and global soft fusion

CSI:

Channel state information

SCL:

Sensing confidence level

SEP:

Sensing error percentage

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Acknowledgments

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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Authors and Affiliations

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing,  210007, China

    Guoru Ding, Qihui Wu & Jinlong Wang

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  1. Guoru Ding
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  2. Qihui Wu
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  3. Jinlong Wang
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Correspondence to Guoru Ding.

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Ding, G., Wu, Q. & Wang, J. Sensing Confidence Level-Based Joint Spectrum and Power Allocation in Cognitive Radio Networks. Wireless Pers Commun 72, 283–298 (2013). https://doi.org/10.1007/s11277-013-1013-3

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