Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India

Research Article

Spectrum Sensing in Cognitive Radio using Energy Detection: Comprehensive Analysis

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  • @INPROCEEDINGS{10.4108/eai.16-5-2020.2303966,
        author={M  Chaitra and Somnath  Sinha},
        title={Spectrum Sensing in Cognitive Radio using Energy Detection: Comprehensive Analysis},
        proceedings={Proceedings of the First  International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India},
        publisher={EAI},
        proceedings_a={ICASISET},
        year={2021},
        month={1},
        keywords={cognitive radio network (crn) energy detection spectrum sensing spectrum management communication channel},
        doi={10.4108/eai.16-5-2020.2303966}
    }
    
  • M Chaitra
    Somnath Sinha
    Year: 2021
    Spectrum Sensing in Cognitive Radio using Energy Detection: Comprehensive Analysis
    ICASISET
    EAI
    DOI: 10.4108/eai.16-5-2020.2303966
M Chaitra1,*, Somnath Sinha2
  • 1: Department of Computer Science Amrita School of Arts and Sciences, Mysore Amrita Vishwa Vidyapeetham, India
  • 2: Department of Computer Science Amrita School of Arts and Sciences, Mysore
*Contact email: chaitrachandu52@gmail.com

Abstract

Cognitive radio networks manage spectrum effectively by capability of the usage of correct spectrum management techniques. This is taken in accordance on conformity allowing an unlicensed to use the spectrum channel properly by utilization of the underutilized spectrum. Spectrum sensing determines an agreement of a spectrum hole exists by the imitation of the truth of the unlicensed user. This paper analyse all the important spectrum sensing techniques such as, energy detection, minimum Eigen value detection and matched filter technique and describes the affectivity of the methods. It also represents the energy detection based spectrum sensing and represent their limits and efficiencies. Also the affectvity of additive white guassian method is tested against the noise using number of primary and secondary users.