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Detection probability maximization through optimization of samples in cognitive radio networks

  • 1172: 5G Multimedia communications for Vehicular, Industry and Entertainment Applications
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Abstract

Cognitive radio technology is widely used to identify the underutilized spectrum bands through spectrum sensing. In this paper, energy detection method is used to detect the primary user’s presence by increasing the number of samples. It increases the overall detection performance but effects the system overhead through long time estimation of total energy. Therefore optimization of samples is proposed to limit the number of samples and to reduce the system over head by maximizing the detection performance. This increases the detection performance for a given false alarm and reduces the number of samples compared to conventional method. Cooperative detection probability for AND, OR and MAJORITY fusion rules is estimated and the optimal number of samples for each method is identified. The simulation and numerical results show a notable improvement in the detection probability.

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  1. Department of ECE, CMR Technical Campus, Hyderabad, Telangana, 501401, India

    Chilakala Sudhamani

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  1. Chilakala Sudhamani
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Correspondence to Chilakala Sudhamani.

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Sudhamani, C. Detection probability maximization through optimization of samples in cognitive radio networks. Multimed Tools Appl 81, 12275–12285 (2022). https://doi.org/10.1007/s11042-021-11089-3

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  • DOI: https://doi.org/10.1007/s11042-021-11089-3

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