Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings

Research Article

Threshold Based Censoring of Cognitive Radios in Rician Fading Channel with Perfect Channel Estimation

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  • @INPROCEEDINGS{10.1007/978-3-319-40352-6_18,
        author={M. Ranjeeth and S. Anuradha},
        title={Threshold Based Censoring of Cognitive Radios in Rician Fading Channel with Perfect Channel Estimation},
        proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings},
        proceedings_a={CROWNCOM},
        year={2016},
        month={6},
        keywords={Co-operative spectrum sensing Censoring Energy detection Majority logic Maximal ratio combining Rician fading},
        doi={10.1007/978-3-319-40352-6_18}
    }
    
  • M. Ranjeeth
    S. Anuradha
    Year: 2016
    Threshold Based Censoring of Cognitive Radios in Rician Fading Channel with Perfect Channel Estimation
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-40352-6_18
M. Ranjeeth1,*, S. Anuradha1,*
  • 1: National Institute of Technology
*Contact email: ranjithamamidi2001@gmail.com, anuradha@nitw.ac.in

Abstract

In this paper, we have discussed about the performance analysis and comparison between hard decision (majority rule) logic and soft decision (maximal ratio combining) logic on cooperative spectrum sensing network using censoring scheme. We are assuming that both sensing channel and reporting channel are affected by Rician fading. Due to presence of fading in the channels, the information received at the fusion center is erroneous. Threshold based censoring scheme is used to eliminate the heavily faded cognitive radios in reporting channel. Majority logic and maximal ratio combining (MRC) schemes are applied individually at fusion center to make final decision about primary user. Finally, the performance is evaluated in terms of missed detection probability &total error probability using majority logic and MRC rule at fusion center. Simulations are performed with perfect channel estimation by varying the network parameters like probability of false alarm , S-channel SNR, R-channel SNR, Rician fading parameter (K) and number of CR users (N). Comparison table between majority logic and MRC rule is provided to know which fusion rule performs better under Rician fading.