Deep learning (DL) has been applied to the physical layer of wireless communication
systems, which directly extracts environment knowledge from data and outperforms …

In this paper, we aim to design an effective learning-based channel state information (CSI)
feedback scheme for the multiple-input multiple-output (MIMO) orthogonal frequency …

Artificial intelligence (AI) has shown great potential in wireless communications. AI-
empowered communication algorithms have beaten many traditional algorithms through …

The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division
Duplex (FDD) mode can be fully exploited when the downlink Channel State Information …

As the number of Internet of things (IoT) devices increases exponentially, scheduling and
managing the radio resources for IoT devices has become more important. To efficiently …

Channel state information (CSI) plays a crucial role in the capacity of multiple-input and
multiple-output systems, but CSI feedback occupies substantial precious transmission …

Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
a user equipment (UE) to achieve a high data rate. However, massive MIMO requires …

The deep learning-based (DL-based) channel state information (CSI) feedback in the
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …

Automatic modulation classification (AMC) is a promising technology to identify the
modulation mode of the received signal in drone communication systems. Recently …

Advances in machine learning have widened the range of its applications in many fields. In
particular, deep learning has attracted much interest for its ability to provide solutions where …