Article

Spectrum sensing design framework based on cross-layer optimization of detection efficiency

Authors:

Danijela CabricAuthors Info & Claims

ICC'09: Proceedings of the 2009 IEEE international conference on Communications

Pages 2743 - 2748

Published: 14 June 2009 Publication History

Abstract

Cross-layer optimization of the spectrum sensing (SS) sub-system in a Cognitive Radio (CR) is essential for achieving the best spectrum utilization because the three SS layers - sensing radio, sensing PHY and sensing MAC - jointly determine the overall performance of the SS sub-system. In this paper we introduce a function called detection efficiency that measures how much of the idle primary user spectra is actually utilized by the CR users as a function of regulatory constraints, network specifications and the parameters of the sensing radio, MAC and PHY. By optimizing these parameters to maximize detection efficiency of the SS system, the designer can compare and select the best SS design for a given wireless network requirement. By applying this design method to evaluate several design options for the SS layers, we show that cross-layer optimization can in some cases improve the detection efficiency (and therefore spectrum utilization) from 35% to as much as 99%.

References

[1]

D. Cabric, "Cognitive Radios: System Design Perspective", Doctor of Philosophy dissertation, University of California Berkeley, 2007.

[2]

A. Ghasemi and E. S. Sousa, "Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks", IEEE Consumer Communications and Networking Conference, CCNC'07, Jan., 2007.

Digital Library

[3]

J. Jia, Q. Zhang, and X. S. Shen "HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management", IEEE Journal on Selected Area in Communications, Vol. 26, No. 1, Jan. 2008.

Digital Library

[4]

C. Cordeiro and K. Challapali, "C-MAC:A Cognitive MAC Protocol for Multi-Channel Wireless Networks", 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN'07, Apr,. 2007.

[5]

W. Hu, et al., "Dynamic Frequency Hopping Communities for Efficient IEEE 802.22 Operation", IEEE Communications Magazine, May, 2007.

Digital Library

[6]

Y. Yuan et al., "KNOWS: Kognitiv Networking Over White Spaces", 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN'07, Apr,. 2007.

[7]

P. Wang, L. Xiao, S. Zhou, and J. Wang, "Optimization of Detection Time for Channel Efficiency in Cognitive Radio Systems", IEEE Wireless Communications and Networking Conference, WCNC 2007.

Digital Library

[8]

A. Ghasemi and E. S. Sousa, "Impact of User Collaboration on the Performance of Sensing-Based Opportunistic Spectrum Access", IEEE Vehicular Technology Conference, VTC'06, Sep., 2006.

[9]

J. Shen and Y. Liu, "Counting Rule based Cooperative Spectrum Sensing for Maximum Shannon Channel Capacity", Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN'08, 2008.

[10]

Z. Quan, S. Cui, and A. H. Sayed, "Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks," IEEE Journal of Selected Topics in Signal Processing, vol. 2, No. 1, Feb. 2008.

[11]

D. Cabric, S. M. Mishra, and R. W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios," in Proc. Asilomar Conference on Signals, Systems, and Computers, Nov. 2004.

[12]

Spectrum Sensing Requirements Summary, IEEE 802.22-06/0089r5, July 2006.

[13]

Functional Requirements for the 802.22 WRAN Standard, IEEE 802.22- 05/0007r46, Sep. 2005.

[14]

S. M. Mishra, A. Sahai, and R. W. Broderson, "Cooperative Sensing among Cognitive Radios", IEEE International Conference on Communications, ICC'06, 2006.

[15]

Spectrum Sensing Simulation Model, IEEE 802.22-06/0028r10, Sep. 2006.

[16]

J.M.G. Linnartz, "Exact Analysis of the Outage Probability in Multipl-euser Mobile Radio," IEEE transactions on communications, vol. 40, No. 1, Jan, 1992.

[17]

S. J. Shellhammer, "Spectrum Sensing in IEEE 802.22," EURASIP IAPR Workshop on Cognitive Information Processing, June, 2008.

[18]

J. Hillenbrand, T. A. Weiss, F. K. Jondral, "Calculation of Detection and False Alarm Probabilities in Spectrum Pooling Systems," IEEE Communications Letters, vol.9, no. 4, Apr. 2005.

[19]

H. Urkowitz, "Energy Detection of Unknown Deterministic Signals," Proceedings of the IEEE, vol.55, no.4, Apr., 1967

Cited By

Matinmikko MMustonen MRauma TDel Ser JFrattasi SMarchetti N(2011)Decision-making system for obtaining spectrum availability information in opportunistic networksProceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management10.1145/2093256.2093269(1-6)Online publication date: 26-Oct-2011
https://dl.acm.org/doi/10.1145/2093256.2093269

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cover image Guide Proceedings

ICC'09: Proceedings of the 2009 IEEE international conference on Communications

June 2009

5539 pages

ISBN:9781424434343

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IEEE Press

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Published: 14 June 2009

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Cited By

Matinmikko MMustonen MRauma TDel Ser JFrattasi SMarchetti N(2011)Decision-making system for obtaining spectrum availability information in opportunistic networksProceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management10.1145/2093256.2093269(1-6)Online publication date: 26-Oct-2011
https://dl.acm.org/doi/10.1145/2093256.2093269

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