Abstract
To improve the performance of cooperative spectrum sensing (CSS) based on dual cumulative sum (DualCUSUM), an improved CSS scheme with artificial neural network (ANN) is proposed. A secondary user (SU) uses ANN to predict the practical threshold of CUSUM algorithm and local detection probability. In fusion center, the ANN is also adopted to forecast the threshold. To take good advantage of information of diverse SUs, the detection delay is considered as weights in the weighting fusion. The simulation shows the proposed scheme has satisfying mean detection delay with false alarm probability at 10%.
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Miao, J., Song, X., Wang, Z., Wang, Xa. (2019). Improved Cooperative Spectrum Sensing Algorithm with Artificial Neural Network. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_58
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DOI: https://doi.org/10.1007/978-3-319-93659-8_58
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