… Then the physical-layer threats in 5G IoT networks are categorized by different types of … We
survey the state-ofthe-art works about PLS techniques to alleviate the physicallayer threats in …

… physical layer methods to pave the way for fascinating applications of 6G. In particular, we
have focused our attention on four promising physical layer … , and physical layer security. We …

… the unsupervised learning techniques based on the autoencoder (AE) neural networks is
particularly useful for solving diverse problems in the physical layer wireless communication …

… With the RF data provided by the physical layer and the application-driven goal in mind, we
are ready to discuss the design of deep learning layers. We focus on introducing the building …

… Modulation order and code rate: the MCS is a 5-bit field that determines the modulation order
and the code rate that are used, at the physical layer, for the transmission of data to the UE. …

… Abstract—We introduce a novel physical layer scheme for single user … deep learning using
an autoencoder. This method extends prior work on the joint optimization of physical layer …

… In this work, we presented a physical layer authentication scheme to identify RF devices
using deep learning to improve IoT security. We compare the ability of DNN, CNN and LSTM to …

… its relations with general machine learning and graph-based learning framework. Then
we move to the discussions of DL-based physical layer enhancements in terms of signal …

… to deep learning in areas such as image, voice, and text showing strong performance, both
deep learning and the physical layer of … study of the physical layer of wireless communication …

… and then provides a simple and effective form to ensure the physical-layer security. … of the
physical layer and provides a simple and effective form to ensure the physical-layer security. …