A hypernetwork based framework for non-stationary channel prediction

G Liu, Z Hu, L Wang, H Zhang, J Xue… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In order to break through the development bottleneck of modern wireless communication
networks, a critical issue is the out-of-date channel state information (CSI) in high mobility …

Massive MIMO CSI Feedback using Channel Prediction: How to Avoid Machine Learning at UE?

MK Shehzad, L Rose, M Assaad - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the literature, machine learning (ML) has been implemented at the base station (BS) and
user equipment (UE) to improve the precision of downlink channel state information (CSI) …

Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications

A Orimogunje, V Ninkovic, E Twahirwa… - arXiv preprint arXiv …, 2024 - arxiv.org
Establishing and maintaining 5G mmWave vehicular connectivity poses a significant
challenge due to high user mobility that necessitates frequent triggering of beam switching …

EMD empowered neural network for predicting spatio-temporal non-stationary channel in UAV communications

Q Zhang, Q Guo, H Jiang, X Yin, MU Mushtaq, Y Luo… - Applied …, 2025 - Springer
This paper introduces a novel prediction method for spatio-temporal non-stationary
channels between unmanned aerial vehicles (UAVs) and ground control vehicles, essential …

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 …

Beamforming Oriented Angular Domain Channel Prediction for Mixed LOS and Non-LOS SIMO Environments with High Mobility

F Peng, S Zhang, W Chen, Q Wu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multiple input multiple output (MIMO) beamforming has been recognized as a key element to
support challenging requirements in the vehicular communication environment. In order to …

LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction

Y Jin, Y Wu, Y Gao, S Zhang, S Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
The emergence of 6th generation (6G) mobile networks brings new challenges in supporting
high-mobility communications, particularly in addressing the issue of channel aging. While …