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Opportunistic Selection of Threshold Using Double Threshold in Cognitive Radio Networks

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Advances in Electronics, Communication and Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 443))

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Abstract

In cognitive radio selecting, the value of threshold is one of the important and challenging works. This selection is done mainly using two principles. First principle is constant detection rate (CDR), in which probability of detection is taken as constant. Second principle is constant false alarm rate (CFAR), in which probability of false alarm rate is taken as constant. From these two principles, CDR is preferable to give sufficient protection of licensed users. Here double threshold technique, in which two threshold levels are present, is used. Interference is more when signal-to-noise ratio is less. Implementation of double threshold method, according to the farness of secondary transmitter from primary receiver gives some better results to reduce that problem. In this paper, we proposed an approach by taking the distance of secondary transmitter from primary receiver as a parameter, double threshold and single threshold along with CDR principle.

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Correspondence to G Soumya .

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Soumya, G., Verma, G. (2018). Opportunistic Selection of Threshold Using Double Threshold in Cognitive Radio Networks. In: Kalam, A., Das, S., Sharma, K. (eds) Advances in Electronics, Communication and Computing. Lecture Notes in Electrical Engineering, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-10-4765-7_80

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  • DOI: https://doi.org/10.1007/978-981-10-4765-7_80

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4764-0

  • Online ISBN: 978-981-10-4765-7

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