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An Enhanced Detection Technique of Cognitive Radio Networks

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Abstract

There are two types of sensing techniques available for spectrum sensing in cognitive radio networks (CRNs), signal specific sensing and blind sensing. Blind sensing is more popular because it does not require prior information of primary users (PUs). Conventional-energy detector (C-ED) is one of the examples of blind sensing technique, ease to implement and simplicity are main features of C-ED but at low signal to noise ratio (SNR) its performance degrades. The main factor of performance degradation is sensing failure problem which occurs at low SNR. In this paper, we introduce an improved-energy detector with adaptive double threshold (I-ED-ADT) sensing scheme to overcome sensing failure problem. In this method, each CR makes a local decision in the form of binary bit (0 or 1) when observed energy lies out of the confused region or lies within the confused region. Further, ED-ADT detector uses cooperative sensing where final decision about the presence or absence of PU signal is taken at fusion center (FC) after processing the received decisions. We have carried out MATLAB simulation tool to prove the superiority of the sensing technique in achieving a tradeoff between sensing time and detection performance.

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Acknowledgement

The authors wish to thank their parents for supporting and motivating for this work because without their blessings and God’s grace this was not possible.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Uttarakhand Technical University, Dehradun, Uttarakhand, 248007, India

    Ashish Bagwari

  2. Department of Computer Science and Engineering, Uttarakhand Technical University, Dehradun, Uttarakhand, 248007, India

    Jyotshana Kanti

  3. Machine Intelligence Research Labs, Gwalior, India

    Geetam Singh Tomar

Authors
  1. Ashish Bagwari
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  2. Jyotshana Kanti
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  3. Geetam Singh Tomar
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Correspondence to Jyotshana Kanti.

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Bagwari, A., Kanti, J. & Tomar, G.S. An Enhanced Detection Technique of Cognitive Radio Networks. Wireless Pers Commun 97, 6069–6087 (2017). https://doi.org/10.1007/s11277-017-4827-6

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  • DOI: https://doi.org/10.1007/s11277-017-4827-6

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