… In this paper, the need of deep learning in signal recognition is reviewed in Section 2.
Section 3 introduces the modulation recognition with various approaches. In Section 4, wireless …

… deep learning can also benefit from well-engineered features. In the case of CSI data as
learning … the rich knowledge in the wireless communication literature to enhance the feature …

… In this paper, we describe how deep learning can be used to design an end-to-end
communication system … optimization in providing novel means to design wireless communications. …

… the wireless communication … learning and explainable DL techniques, we believe closedloop
ecosystems will be achieved for long-time-intelligent evolution in future 6G communication …

… algorithms have been used in various wireless communication appli cations viz spectrum …
and its application to machine learning and deep learning in wireless communication. The …

… conference publications and book chapters in the area of wireless communication networks
and systems. He is currently serving as an associate editor for IEEE Wireless Communica- …

… The AWGN channel fits much of wireline and wireless communications although the front
end of the receiver may have to be specifically designed before being processed by the …

… It developed a deep learning-based IDS architecture for anomaly detection by
conducting … The deep learning approach that was proposed can be used to give Internet-of-Things …

… the pressure of spectrum usage in wireless communication, based on the … to wireless
communication networks. An intelligent power algorithm model based on deep neural networks (…

… a learning method that automatically analyzes the channel state information (CSI) of the
communication system … In the field of wireless communication, although successful commercial …