The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …

Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …

The potentials of massive multiple-input multiple-output (MIMO) are all based on the
available instantaneous channel state information (CSI) at the base station (BS). Therefore …

Automatic modulation classification (AMC) is a typical technology for identifying different
modulation types, which has been widely applied into various scenarios. Recently, deep …

Due to the implementation and performance limitations of centralized learning automatic
modulation classification (CentAMC) method, this paper proposes a decentralized learning …

The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …

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 …

The increased throughput brought by MIMO technology relies on the knowledge of channel
state information (CSI) acquired in the base station (BS). To make the CSI feedback …