Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
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 …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
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) …
Channel-aware adversarial attacks against deep learning-based wireless signal classifiers
This paper presents channel-aware adversarial attacks against deep learning-based
wireless signal classifiers. There is a transmitter that transmits signals with different …
wireless signal classifiers. There is a transmitter that transmits signals with different …
Malware traffic classification using domain adaptation and ladder network for secure industrial internet of things
J Ning, G Gui, Y Wang, J Yang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Malware traffic classification (MTC) is a key technology for anomaly and intrusion detection
in secure Industrial Internet of Things (IIoT). Traditional MTC methods based on port …
in secure Industrial Internet of Things (IIoT). Traditional MTC methods based on port …
ChannelGAN: Deep learning-based channel modeling and generating
H Xiao, W Tian, W Liu, J Shen - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The increasing complexity on channel modeling and the cost on collecting plenty of high-
quality wireless channel data have become the main bottlenecks of developing deep …
quality wireless channel data have become the main bottlenecks of developing deep …
SCAN: Semantic communication with adaptive channel feedback
In existing semantic communication systems for image transmission, some images are
generally reconstructed with considerably low quality. As a result, the reliable transmission …
generally reconstructed with considerably low quality. As a result, the reliable transmission …
Deep learning (DL)-based channel prediction and hybrid beamforming for LEO satellite massive MIMO system
Y Zhang, A Liu, P Li, S Jiang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Low-Earth orbit (LEO) satellites are recognized as one of the most promising infrastructures
for realizing global Internet of Things (IoT) services. With the explosive growth of user …
for realizing global Internet of Things (IoT) services. With the explosive growth of user …
Environment knowledge-aided massive MIMO feedback codebook enhancement using artificial intelligence
The autoencoder empowered by artificial intelligence has shown considerable potential in
solving channel state information (CSI) feedback problems in frequency-division duplexing …
solving channel state information (CSI) feedback problems in frequency-division duplexing …
A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things
The Industrial Internet of Things (IIoT) refers to the application of the IoT in the industrial field.
The development of fifth-generation (5G) communication technology has accelerated the …
The development of fifth-generation (5G) communication technology has accelerated the …
User-centric online gossip training for autoencoder-based CSI feedback
Recently, the autoencoder framework has shown great potential in reducing the feedback
overhead of the downlink channel state information (CSI). In this work, we further find that …
overhead of the downlink channel state information (CSI). In this work, we further find that …