Efficient Spectrum Sensing for Cognitive Radio Networks via Joint Optimization of Sensing Threshold and Duration using MATLAB/SIMULINK

Abstract

Frequency band is valuable in communication media. Different Telecommunication regularity authority have the rights to assign the spectrum to the users and the policy to assign spectrum till date is static frequency allocation policy due to such policies scarcity of the spectrum present. It is required to implement the dynamic frequency allocation techniques (DSS) to improve the spectrum usage. There are different techniques for spectrum sensing like energy detection, matched filter, cyclostationary, compressive, cooperative etc. Every method has its loops and holes, Energy detection method is useful and very simple method for spectrum sensing. In energy detection method output of energy detector compares with predefined threshold valueIn this implementation analysis like different other parameters like ROC, probability of detection (Pd), False alarm probability (FAP), Power spectral density (PSD). The simulation results shows that use of DSS avoids the wastage of bandwidth, probability of false alarm can be attained as well as receiver operating characteristic can be monitored, the simulation results are verified

Authors and Affiliations

Kiran. A. Kanade

Keywords

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  • EP ID EP221056
  • DOI -
  • Views 133
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How To Cite

Kiran. A. Kanade (2014). Efficient Spectrum Sensing for Cognitive Radio Networks via Joint Optimization of Sensing Threshold and Duration using MATLAB/SIMULINK. International journal of Emerging Trends in Science and Technology, 1(8), 1260-1263. https://europub.co.uk/articles/-A-221056