Abstract
The cognitive radio (CR) serves to be the salvation for the congestion in the spectrum that is limiting its growth to its full capabilities. The spectrum utilization is less than 15 to 18% depending upon the geographical area and the time. The number of devices that will need connectivity will cross the 1 trillion mark by 2020. Spectrum sensing offers great spectral resolution capability and aids in the detection of spectrum holes. To opportunistically access the licenced spectrum, cognitive radio involves sensing the spectrum, which is worn by unlicensed users. Spectrum sensing based on energy detection offers cheap cost and minimal complexity. The development of energy detection-based spectrum sensing results in a thorough performance study. The energy detection, owing to its simplicity in execution both in the complexity of algorithm as well as the time required in execution, holds a higher ground in priority to the scientific community. The area under the receiver operating characteristic curve is offered as a single-value performance indicator to assess the overall detection capability over multiple wireless fading channels like Rayleigh, Rician, Lognormal and Nakagami-m channel.
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Raju, M.C., Neha Reddy, L., Karthik, J., Sai Vishal Reddy, R., Sravanth Kumar, R. (2023). Performance Analysis of Energy Detector in Cognitive Radio Over Fading Channels. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. ICCIC 2022. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2746-3_38
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DOI: https://doi.org/10.1007/978-981-99-2746-3_38
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