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

Analysis of Amplify Forward, Decode and Amplify Forward, and Compression Forward Relay for Single and Multi-node Cognitive Radio Networks

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  • @INPROCEEDINGS{10.4108/eai.16-5-2020.2304196,
        author={B.  Perumal and J.  Deny and R.  Sudharsan and E.  Muthukumaran and R. Raja Subramanian},
        title={Analysis of Amplify Forward, Decode and Amplify Forward, and Compression Forward Relay for Single and Multi-node Cognitive Radio Networks},
        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={amplify forward decode and amplify forward compression forward single and multi-node cognitive radio networks},
        doi={10.4108/eai.16-5-2020.2304196}
    }
    
  • B. Perumal
    J. Deny
    R. Sudharsan
    E. Muthukumaran
    R. Raja Subramanian
    Year: 2021
    Analysis of Amplify Forward, Decode and Amplify Forward, and Compression Forward Relay for Single and Multi-node Cognitive Radio Networks
    ICASISET
    EAI
    DOI: 10.4108/eai.16-5-2020.2304196
B. Perumal1,*, J. Deny2, R. Sudharsan1, E. Muthukumaran3, R. Raja Subramanian4
  • 1: Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnan Koil, Virudhunagar, 626126, India.
  • 2: Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnan Koil, Virudhunagar, 626126, India
  • 3: Department of Electronics and Communication Engineering, Dr. B. R. Ambedkar Institute of Technology, Andaman and Nicobar Islands, India
  • 4: Department of Computer Science Engineering, Kalasalingam Academy of Research and Education, Krishnan Koil, Virudhunagar, 626126, India
*Contact email: palanimet@gmail.com

Abstract

Intellectual radio is a developing remote innovation utilized to expand the recurrence range usage of the constrained ghastly assets. Helpful interchanges have been considered as a potential strategy for comprehending the blurring impacts, for example, improving the steadfastness of system execution, arrange throughput, and versatility in remote correspondences. The exhibitions of Single node -AF (Amplify and Forward) and multiple nodes – DAF (Decode, Amplify and Forward) intellectual hand-off systems are examined over autonomous non indistinguishably circulated Weibull blurring diverts in Cognitive Radio Network. The diagnostic outcomes show that the bit mistake rate and the Signal to Noise Ratio esteem is 24dB for Single and Multiple nodes in network are better than handing-off conventions.