Cooperative Spectrum Sensing Based on HML and Vector Quantization for Cognitive Radio Networks

  • Authors

    • Shweta Alpna
    • Amrit Mukherjee
    • Amlan Datta
    2018-04-18
    https://doi.org/10.14419/ijet.v7i2.20.16728
  • Cognitive Radio, Spectrum Sensing, Cooperative Communication, HML
  • The proposed work illustrates a novel technique for cooperative spectrum sensing in a cognitive radio (CR) network. The work includes an approach of identifying secondary users (SUs) based on Hierarchical Maximum Likelihood (HML) technique followed by Vector Quantization. Initially, the arrangement of the SUs are been observed using HML with respect to a spatial domain and then the active SUs among them are identified using VQ. The approach will not only save the energy, but the decision of the real-time and dynamic cooperative communication network becomes more accurate as we can predict the behavior of SUs movement and spectrum sensing by each individual SU at that particular  place. The results and simulations of the real-time experiment justifies with the proposed approach.

     

  • References

    1. [1] Spectrum Sensing for Cognitive Radio By Simon Haykin, David J. Thomson, Jeffrey H. Reed,

      [2]S. M. Mishra, A. Sahai and R. Brodersen, "Cooperative Sensing Among Cognitive Radiosâ€, in Proceedings of IEEE International Conference, pp. 1658-1663, 2006.

      [3] Amrit Mukherjee, Sagarika Choudhury, Pratik Goswami, Gezahegn Abdissa Bayessa, Sumarga K. Sah Tyagi. "A novel approach of power allocation for secondary users in cognitive radio networks", Computers & Electrical Engineering, 2018,DOI:doi.org/10.1016/j.compeleceng.2018.03.006,

      [4] A. Mukherjee, et. all., “Vector Quantisation based Power allocation for Non Ergodic Cognitive Radio Systemsâ€, Journal of Engineering Science and Technology , 2016

      [5]Z. Li, F. Yu and M. Huang, “A cooperative spectrum sensing consensus scheme in cognitive radios,†in Proc. of IEEE Infocom, pp. 2546–2550, 2009.

      [6]C. Guo, T. Peng, S.Xu, H. Wang and W. Wang, “Cooperative spectrum sensing with cluster-based architecture in cognitive radio networks,†in IEEE 69th Vehicular Technology Conference, pp. 1–5, 2009

      [7]I. F. Akyildiz, B. F. Lo and R. Balakrishnan, "Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey", Physical Communication, Vol. 4, no. 1, pp. 40-62, 2011.

      [8]A. Ghasemi and A. S. Sousa, "Spectrum Sensing in Cognitive Radio Networks: Requirements, Challenges and Design Trade-offs", IEEE Communications Magazine, pp. 32-39, 2008.

      [9]S. Zarrin and T.J. Lim, “Cooperative spectrum sensing in cognitive radios with incomplete likelihood functions,†IEEE Transactions on Signal Processing, Vol. 58, no. 6, pp. 3272–3281, 2010

      [10]Z. Li, F. Yu and M. Huang, “A cooperative spectrum sensing consensus scheme in cognitive radios,†in Proc. of IEEE Infocom, pp. 2546–2550, 2009.

      [11]A. Malady and C. da Silva, “Clustering methods for distributed spectrum sensing in cognitive radio systems,†in Proc. of IEEE MILCOM, pp. 1–5, 2008.

      [12] A. Mukherjee, et. all., “HML-Based Smart Positioning of Fusion Center for Cooperative Communication in Cognitive Radio Networks", IEEE Communications Letters, DOI: 10.1109/LCOMM.2016.2602266, vol. 20., no. 11., pp. 2261 – 2263, 2016.

      [13]Osama Abbas Al Tameemi, Mainak Chatterjee,Kevin Kwiat. "Vector quantization based QoS evaluation in cognitive radio networks", 2014 23rd Wireless and Optical Communication Conference (WOCC), 2014.

  • Downloads

  • How to Cite

    Alpna, S., Mukherjee, A., & Datta, A. (2018). Cooperative Spectrum Sensing Based on HML and Vector Quantization for Cognitive Radio Networks. International Journal of Engineering & Technology, 7(2.20), 335-338. https://doi.org/10.14419/ijet.v7i2.20.16728