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Optimized design and analysis approach of user detection by non cooperative detection computing methods in CR networks

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Abstract

In the recent developments, the spectrum sensing and detection plays a major importance in day to day communication and it is very much essential for the user to utilize the spectrum bandwidth effectively in cognitive radio (CR) networks. The major performance metrics constraint that causes severe problems in spectrum sensing are probability of false alarm \((\hbox {P}_{\mathrm{fa}})\) and probability of miss detection \((\hbox {P}_{\mathrm{md}})\). In the proposed paper, the authors made an attempt to enhance the characteristic performances compared to existing methods, matched filter detection, cyclostationary detection and hybrid filter detection. The three detection methods are incorporated in to this non cooperative detection method of CR systems. In the proposed research work, a simulation result are obtained by using MATLab of the modified detection methods and shows the better performance by improving probability of detection \((\hbox {P}_{\mathrm{D}})\) and reducing \(\hbox {P}_{\mathrm{fa}}\), \(\hbox {P}_{\mathrm{md}}\).

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Authors and Affiliations

  1. Department of ECE, VBIT, Hyderabad, India

    Budati Anil Kumar

  2. Department of ECE, GITAM University, Hyderabad, India

    Polipalli Trinatha Rao

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  1. Budati Anil Kumar
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  2. Polipalli Trinatha Rao
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Correspondence to Budati Anil Kumar.

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Anil Kumar, B., Trinatha Rao, P. Optimized design and analysis approach of user detection by non cooperative detection computing methods in CR networks. Cluster Comput 22 (Suppl 4), 9777–9785 (2019). https://doi.org/10.1007/s10586-017-1523-y

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  • DOI: https://doi.org/10.1007/s10586-017-1523-y

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