A novel real-time channel prediction algorithm in high-speed scenario using convolutional neural network

L Xiong, Z Zhang, D Yao - Wireless Networks, 2022 - Springer
The accurate channel state information (CSI) is important to realize the high-reliability and
high-efficiency transmission. So far, most of the conventional methods reconstruct CSI on …

Deep Learning based Wireless Channel Prediction: 5G Scenario

R Varshney, C Gangal, M Sharique… - Procedia Computer …, 2023 - Elsevier
In the area of wireless communication, channel estimation is a challenging problem due to
the need for real-time implementation as well as system dependence on the estimation …

Recurrent neural network-based frequency-domain channel prediction for wideband communications

W Jiang, HD Schotten - 2019 IEEE 89th vehicular technology …, 2019 - ieeexplore.ieee.org
Outdated channel state information (CSI) severely degrades the performance of adaptive
transmission systems that adapt their transmissions to channel fading. In contrast with …

ChanEstNet: A deep learning based channel estimation for high-speed scenarios

Y Liao, Y Hua, X Dai, H Yao… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Aiming at the problem that the downlink channel estimation performance is limited due to the
fast time-varying and non-stationary characteristics in the high-speed mobile scenarios, we …

HORCRUX: Accurate cross band channel prediction

A Banerjee, X Zhao, V Chhabra, K Srinivasan… - Proceedings of the 30th …, 2024 - dl.acm.org
Recent advancement in Frequency Domain Duplexing (FDD) enables wireless systems to
use different frequency bands for uplink and downlink communication without explicit …

Long-short term memory based channel prediction for SISO system

D Madhubabu, A Thakre - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Learning the characteristics of a wireless channel is one of the most fundamental and
challenging issues in the wireless communication. Many conventional signal processing …

A CSI Entropy-Based Estimation Algorithm and Modified Recurrent Neural Networks for Time-Varying Non-Stationary Channels

Z Mai, Y Chen - IEEE Transactions on Vehicular Technology, 2023 - ieeexplore.ieee.org
Accurate channel state information (CSI) estimation is helpful for reliable transmission in
high mobility communication scenarios, in which the channel being highly time-varying and …

Continuous-time channel prediction based on tensor neural ordinary differential equation

M Cui, H Jiang, Y Chen, Y Du, L Dai - China Communications, 2024 - ieeexplore.ieee.org
Channel prediction is critical to address the channel aging issue in mobile scenarios.
Existing channel prediction techniques are mainly designed for discrete channel prediction …

Deep learning-based channel state information prediction with incomplete history

E Tekgul, J Chen, J Tan, F Vook… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Outdated and inaccurate channel state information (CSI) prevents the transmitter from
adapting to current channel conditions and impairs reliable communication. This paper …

An adaptive and parameter-free recurrent neural structure for wireless channel prediction

Y Zhu, X Dong, T Lu - IEEE Transactions on Communications, 2019 - ieeexplore.ieee.org
Predicting channel state information (CSI) is a fundamental element in wireless
communications systems. An accurate CSI estimation and prediction is critical to the system …