• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2015, Volume: 8, Issue: 27, Pages: 1-5

Original Article

Source Number Detection and Realization of ROC for Spectrum Sensing in Cognitive Radio


Background/Objectives: The pre-assigned spectrum allocation policy that has been adopted by various wireless technologies according to the standards of Federal Communications Commission (FCC), in Cognitive radio, the whole available spectrum is grouped into many different bands and the usage of bands by different applications leads to the existence of spectrum hole(s). Methods/Statistical Analysis: High sampling rate is required for cognitive transceiver spectrum sensing applications, multiple analog front-end circuitry, high resolution of Analog to Digital Converters having large and dynamic range, and fast signal processors. Calculating the interference temperature or noise variance over intended Narrow Band (NB) transmission signals is a part of spectrum sensing. Findings: The main issue related to cognitive radio applications is to sense the vacant spectrum holes and simultaneously accommodate the unlicensed secondary users in that. For cognitive radio implementation, spectrum sensing is the foremost concern. The paper presents the realization of Receiver Operating Characteristic (ROC) for implementation of proposed source number detection for existing adaptive energy detection scheme. The realization is mapped using comprehensive Monte Carlo simulations that are quantified for detection performance as a received signal to noise ratio. Application/Improvements: As per the application point of view, different combinations of the sensing techniques are required for different requirements. For example, in case of quick and coarse scan of broad frequency range, the sensing method can of energy detection type. The present white spaces can further be discovered accurately using feature detection method.
Keywords: Cognitive Radio, Energy Detection, Likelihood Ratio, Source Number Detection, Spectrum Sensing


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