A novel OFDM autoencoder featuring CNN-based channel estimation for internet of vessels

B Lin, X Wang, W Yuan, N Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
This article proposes a novel orthogonal frequency-division multiplexing (OFDM)
autoencoder featuring convolutional neural networks (CNNs)-based channel estimation for …

Deep learning based channel estimation for OFDM systems with doubly selective channel

Q Peng, J Li, H Shi - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In wireless communication orthogonal frequency division multiplexing (OFDM) systems with
high mobility, channel estimation becomes challenging due to the double selectivity of …

Deep Learning-Based channel estimation with SRGAN in OFDM Systems

S Zhao, Y Fang, L Qiu - 2021 IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel deep learning-based channel estimation scheme in an
orthogonal frequency division multiplexing (OFDM) system. The channel response with …

A low complexity learning-based channel estimation for OFDM systems with online training

K Mei, J Liu, X Zhang, K Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we devise a highly efficient machine learning-based channel estimation for
orthogonal frequency division multiplexing (OFDM) systems, in which the training of the …

Pilot based channel estimation of OFDM systems using deep learning techniques

B Nithya, D Brijesh, SK Kumar… - International Journal of …, 2023 - Springer
In wireless communication systems, channel estimation is one of the vital processes for
determining channel characteristics. Deep learning based approaches construct a 2D image …

Deep learning for super-resolution channel estimation in reconfigurable intelligent surface aided systems

W Shen, Z Qin, A Nallanathan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) enables the configuration of the propagation
environment. Channel estimation is an essential task in realizing the RIS-aided …

RoemNet: Robust meta learning based channel estimation in OFDM systems

H Mao, H Lu, Y Lu, D Zhu - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Recently, in order to achieve performance improvement in scenarios where the channel is
either unknown, or too complex for an analytical description, Neural Network (NN) based …

ICINet: ICI-aware neural network based channel estimation for rapidly time-varying OFDM systems

Y Sun, H Shen, Z Du, L Peng… - IEEE Communications …, 2021 - ieeexplore.ieee.org
A novel intercarrier interference (ICI)-aware orthogonal frequency division multiplexing
(OFDM) channel estimation network ICINet is presented for rapidly time-varying channels …

Deep neural networks for channel estimation in underwater acoustic OFDM systems

R Jiang, X Wang, S Cao, J Zhao, X Li - IEEE access, 2019 - ieeexplore.ieee.org
Orthogonal frequency division multiplexing (OFDM) provides a promising modulation
technique for underwater acoustic (UWA) communication systems. It is indispensable to …

Deep learning-based channel estimation

M Soltani, V Pourahmadi, A Mirzaei… - IEEE …, 2019 - ieeexplore.ieee.org
In this letter, we present a deep learning algorithm for channel estimation in communication
systems. We consider the time-frequency response of a fast fading communication channel …