Publication Type : Conference Paper
Publisher : INCOCCI-2010
Source : Proceedings of 2010 International Conference on Communication and Computational Intelligence, INCOCCI-2010, Perundurai, Erode, p.163-167 (2010)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-79954607076&partnerID=40&md5=74e222e4cc486045597975ff7bd3cc82
ISBN : 9788183713696
Keywords : Artificial intelligence, Cognitive radio, Detectors, Divide-and-conquer approach, Energy Detector, Energy detectors, Noise conditions, Orthogonal functions, Probability of detection, Radio, Real time, Signal detection, Spectral hole, Spectrum sensing, Spectrum utilization, White space
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2010
Abstract : With congested wireless spectrum and increasing number of users, cognitive radio serve as a panacea for efficient spectrum utilization. This stands to substantiate the amount of research happening in this area. Spectrum sensing is indubitably a key functionality in cognitive radio, which helps determining the spectral holes and white spaces for the secondary users to communicate. In this paper, the energy detector based spectrum sensing for OFDM based cognitive radio is studied and evaluated for various Signal and Noise conditions. The threshold which is a determining factor in energy detector is computed using a divide and conquer approach which is also a novelty of this paper. The bound for minimum width of the white space that is detectable by an energy detector in the case of real time multiple primary user scenario is well established through convincing simulations. The influence of SNR on the spectrum sensing is also presented with regard to the accuracy of sensing or probability of detection. Certain indispensable conditions for implementation of this detector are also discussed. © 2010 Kongu Engineering College.
Cite this Research Publication : A. Chandran, R. Karthik, A., A. Kumar, Naidu, R. C., M. Siva, S., Iyer, U. S., and Dr. Ramanathan R., “Evaluation of energy detector based spectrum sensing for OFDM based cognitive radio”, in Proceedings of 2010 International Conference on Communication and Computational Intelligence, INCOCCI-2010, Perundurai, Erode, 2010, pp. 163-167.