Performance Analysis of Cognitive Radio based on Cooperative Spectrum Sensing

Sai kiran pudi; T. Syama Sundara; Dr. Nimmagadda Padmaja

doi:https://doi.org/10.14445/22315381/IJETT-V4I4P262

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Volume 4 | Issue 4 | Year 2013 | Article Id. IJETT-V4I4P262 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I4P262

Performance Analysis of Cognitive Radio based on Cooperative Spectrum Sensing

Sai kiran pudi , T. Syama Sundara , Dr. Nimmagadda Padmaja

Citation :

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), vol. 4, no. 4, pp. 821-827, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I4P262

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.

Keywords

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

References

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