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Optimized Spectrum Sensing Algorithm for Cognitive Radio

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Abstract

The electromagnetic spectrum is a meager resource of nature. The current standing spectrum allocation policy is unable to put up the demands of wireless communication. This leads to self-motivated spectrum allocation policy. Cognitive radio (CR) technology is a radiant way to increase spectrum utilization by identifying unused and under-utilized spectrum in vigorously changing environments. Spectrum sensing is a one of the input technique of cognitive radio which detects the existence of primary user in licensed frequency band using self-motivated spectrum allocation policies to use unoccupied spectrum. Spectrum sensing is generally based on energy detection and cyclostationary feature detection. Energy detection is a basic spectrum sensing technique but becomes bleak at a low signal-to-interference-and-noise ratio. The fundamental cyclostationary feature detection based on cyclic spectrum estimation can actively detect feeble signals from primary users with a cost of maximum complexity on implementation. The objective of this work is to implement precious spectrum-sensing method in field programmable gate array with pragmatic complexity for CR. Particularly, The proposed new spectrum-sensing method called the adaptive absolute-self-coherent-restoral algorithm has been introduced. The complexity of the consequential algorithm is better than the prior self-coherent-restoral (SCORE) algorithm, such as adaptive least-SCORE (ALS), adaptive cross-SCORE (ACS). Their performance for spectrum sensing is analytically appraised and compared in detail.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Kamaraj College of Engineering and Technology, Virudhunagar, TamilNadu, 626 001, India

    C. S. Karthikeyan

  2. Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, TamilNadu, 625015, India

    M. Suganthi

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  2. M. Suganthi
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Correspondence to C. S. Karthikeyan.

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Karthikeyan, C.S., Suganthi, M. Optimized Spectrum Sensing Algorithm for Cognitive Radio. Wireless Pers Commun 94, 2533–2547 (2017). https://doi.org/10.1007/s11277-016-3642-9

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  • DOI: https://doi.org/10.1007/s11277-016-3642-9

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