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Zheng, M., Chen, L., Liang, W., Yu, H. and Wu, J. (2017) Energy-Efficiency Maximization for Cooperative Spectrum Sensing in Cognitive Sensor Networks. IEEE Transaction on Green Communications and Networking, 1, 29-39.
https://doi.org/10.1109/TGCN.2016.2646819

has been cited by the following article:

• TITLE: A Cooperative Cognitive Radio Spectrum Sensing Based on Correlation Sum Method with Linear Equalization

  AUTHORS: Entesar Gemeay, Ahmed Lebda

  KEYWORDS: Spectrum Sensing, Cognitive Radio, MIMO, Equalization

  JOURNAL NAME: Communications and Network, Vol.15 No.1, February 28, 2023

  ABSTRACT: For moving forward toward the next generations of information technology and wireless communication, it is becoming necessary to find new resources of spectrum to fulfill the requirements of next generations from higher data rates and more capacity. Increasing efficiency of the spectrum usage is an urgent need as an intrinsic result of the rapidly increasing number of wireless users and the conversion of voice-oriented applications to multimedia applications. Spectrum sensing techniques in cognitive radio technology work upon an optimal usage of the available spectrum determined by the Federal Communication Commission (FCC). In this paper, the performance of a cooperative cognitive radio spectrum sensing detection based on the correlation sum method by utilizing the multiuser multiple input multiple output (MU_MIMO) technique over fading and Additive White Gaussian Noise (AWGN) channel is analyzed. Equalization is used at the receiver to compensate the effect of fading channels and improve the reliability of spectrum sensing. The performance is compared with the performance of Energy detection technique. The simulation results show that the detection performance of cooperative correlation sum method is more efficient than that obtained for the cooperative Energy detection technique.