Deep Learning for Channel Estimation in Physical Layer Wireless Communications: Fundamental, Methods, and Challenges
C Lv, Z Luo - Electronics, 2023 - mdpi.com
With the rapid development of wireless communication technology, intelligent
communication has become one of the mainstream research directions after the fifth …
communication has become one of the mainstream research directions after the fifth …
Wireless channel data augmentation for artificial intelligence of things in industrial environment using generative adversarial networks
X Liang, Z Liu, H Chang, L Zhang - 2020 IEEE 18th …, 2020 - ieeexplore.ieee.org
The rise of Artificial Intelligence of Things (AIoT) makes everything connected smartly, which
can enrich industrial productivity. With the help of learning-based wireless communications …
can enrich industrial productivity. With the help of learning-based wireless communications …
Overcoming an evasion attack on a cnn model in the mimo-ofdm wireless communication channel
Implementation of deep learning (DL)-based algorithms for wireless communication
channels can drastically enhance the discrepancy between features and interference …
channels can drastically enhance the discrepancy between features and interference …
A modified deep learning based MIMO communication for integrated sensing, communication and computing systems
C Duan, J Zhang - Digital Signal Processing, 2023 - Elsevier
The future wireless networks are expected to be data-driven integrated sensing,
communication and computing (ISCC) systems and benefit from employing deep learning to …
communication and computing (ISCC) systems and benefit from employing deep learning to …
A federated channel modeling system using generative neural networks
The paper proposes a data-driven approach to air-to-ground channel estimation in a
millimeter-wave wireless network on an unmanned aerial vehicle. Unlike traditional …
millimeter-wave wireless network on an unmanned aerial vehicle. Unlike traditional …
Deep learning-based channel state information prediction with incomplete history
Outdated and inaccurate channel state information (CSI) prevents the transmitter from
adapting to current channel conditions and impairs reliable communication. This paper …
adapting to current channel conditions and impairs reliable communication. This paper …
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels
Artificial intelligence (AI) is envisioned to play a key role in future wireless technologies, with
deep neural networks (DNNs) enabling digital receivers to learn how to operate in …
deep neural networks (DNNs) enabling digital receivers to learn how to operate in …
Transfer learning for signal detection in wireless networks
N Van Huynh, GY Li - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
The last decade has witnessed the rapid growth of deep learning (DL) applications in
wireless communications, especially for channel estimation and signal detection. However …
wireless communications, especially for channel estimation and signal detection. However …
A deep learning method to predict fading channel in multi-antenna systems
W Jiang, HD Schotten - 2020 IEEE 91st Vehicular Technology …, 2020 - ieeexplore.ieee.org
Channel state information (CSI) plays a vital role in adaptive transmission systems, which
adapt their transmission parameters to instantaneous channel conditions. However, the CSI …
adapt their transmission parameters to instantaneous channel conditions. However, the CSI …
An effective generative model based channel estimation method with reduced overhead
B Zhang, D Hu, J Wu, Y Xu - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The traditional channel estimation for OFDM systems suffers from big overheads caused by
pilots. Current channel estimation methods only consider the correlation among pilots within …
pilots. Current channel estimation methods only consider the correlation among pilots within …