Performance Analysis of Cognitive Radio based on Cooperative Spectrum Sensing

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-4                       
Year of Publication : 2013
Authors : Sai kiran pudi , T. Syama Sundara , Dr. Nimmagadda Padmaja

MLA 

Sai kiran pudi , T. Syama Sundara , Dr. Nimmagadda Padmaja. "Performance Analysis of Cognitive Radio based on Cooperative Spectrum Sensing". International Journal of Engineering Trends and Technology (IJETT). V4(4):821-827 Apr 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Cognitive radio is an emerging technology that aims for efficient spectrum usage. Cognitive radios have been proposed as a solution to the spectrum underutilization problem and have been proven to increase spectrum efficiency whilst providing opportunities for futuristic technologies. However, in this we are analyzing the performance of the cognitive radio based on cooperative spectrum sensing. Performance can be studied through by the energy and throughput setup. In the energy efficient setup, the number of cooperating cognitive radios is minimized for a k - out - of - N fusion rule with a constraint on the probability of detection and false alarm while in the throughput optimization setup, we maximize the throughput of the cognitive radio network, by deriving the optimal reporting time in a sensing time frame which is proportional to the number of cognitive users, subject to a constraint on the probability of detection. It is shown that both problems can be simplified to line search problems. The simulation res ults show that the OR and the majority rule outperform the AND rule in terms of energy efficiency and that the OR rule gives a higher throughput than the AND rule with a smaller number of users.

References

[1] E. Peh, Y. - C. Liang, Y. L. Guan, and Y. H. Zeng, “Optimization of cooperative sensing in cognitive radio networks: a sensing throughput trade off view,” IEEE Transactions on Vehicular Technology , vol. 58, pp. 52945299, 2009.
[2] S. M. Mishra, A. Sahai, and R. W. Brodensen, “Cooperative sensing among cognitive radios,” Proc. IEEE Int. Conf. Commun. ICC, June 2006, pp. 1658 - 1663.
[3] P. K. Varshney, “Distributed Detection and Data Fusion”, Springer - Verlag , 1996.
[4] R. Viswanathan and P. K. Varshney, “Distributed detection with multiple sensors,” Proc. IEEE , vol. 85, pp. 5463, Jan. 1997.
[5] “Functional requirements for the 802.22 WRAN standard, ”‘ IEEE 802.22 - 05/0007r46, Sep. 2006.
[6] W. Zhang, R. K. Mallik, and K. B. Letaief, “Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks,” IEEE Trans. Wireless. Comm. Dec. 2009.
[7] R. Muta, R. Kohno, “Throughput analysis for cooperative sensing in cognitive radio networks,” IEEE PIMRC 2009 , Sept. 2009

Keywords
Cognitive radio, Cooperative spectrum sensing, Ener gy efficiency, Hard decision fusion, Scheduling.