A survey of blockchain and artificial intelligence for 6G wireless communications
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …
future mobile communication networks has been officially launched around the world. 6G …
A lite distributed semantic communication system for internet of things
The rapid development of deep learning (DL) and widespread applications of Internet-of-
Things (IoT) have made the devices smarter than before, and enabled them to perform more …
Things (IoT) have made the devices smarter than before, and enabled them to perform more …
Overview of deep learning-based CSI feedback in massive 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) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
An efficient specific emitter identification method based on complex-valued neural networks and network compression
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …
emitter and enhance the security of various wireless communication systems. SEI is …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
Deep learning-based CSI feedback for beamforming in single-and multi-cell massive MIMO systems
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 …
available instantaneous channel state information (CSI) at the base station (BS). Therefore …
Deep learning-based implicit CSI feedback in massive MIMO
Massive multiple-input multiple-output can obtain more performance gain by exploiting the
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …
Lightweight convolutional neural networks for CSI feedback in massive MIMO
In frequency division duplex mode of massive multiple-input multiple-output systems, the
downlink channel state information (CSI) must be sent to the base station (BS) through a …
downlink channel state information (CSI) must be sent to the base station (BS) through a …
Lightweight automatic modulation classification based on decentralized learning
Due to the implementation and performance limitations of centralized learning automatic
modulation classification (CentAMC) method, this paper proposes a decentralized learning …
modulation classification (CentAMC) method, this paper proposes a decentralized learning …
A simple federated learning-based scheme for security enhancement over Internet of Medical Things
Z Xu, Y Guo, C Chakraborty, Q Hua… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Nowadays, Federated Learning (FL) over Internet of Medical Things (IoMT) devices has
become a current research hotspot. As a new architecture, FL can well protect the data …
become a current research hotspot. As a new architecture, FL can well protect the data …