Neural network-based fading channel prediction: A comprehensive overview

W Jiang, HD Schotten - IEEE Access, 2019 - ieeexplore.ieee.org
By adapting transmission parameters such as the constellation size, coding rate, and
transmit power to instantaneous channel conditions, adaptive wireless communications can …

Deep learning for fading channel prediction

W Jiang, HD Schotten - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Channel state information (CSI), which enables wireless systems to adapt their transmission
parameters to instantaneous channel conditions and consequently achieve great …

Channel prediction using ordinary differential equations for MIMO systems

L Wang, G Liu, J Xue, KK Wong - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Channel state information (CSI) estimation is part of the most fundamental problems in 5G
wireless communication systems. In mobile scenarios, outdated CSI will have a serious …

Recurrent neural networks with long short-term memory for fading channel prediction

W Jiang, HD Schotten - 2020 IEEE 91st vehicular technology …, 2020 - ieeexplore.ieee.org
With the aid of accurate channel state information (CSI) at the transmitter, a wireless system
can receive great performance by adaptively selecting its transmission parameters …

Off-grid error calibration for DOA estimation based on sparse Bayesian learning

H Fu, F Dai, L Hong - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Compared with the traditional subspace-based methods, sparse signal recovery (SSR)
based methods have obvious advantages in performing the direction of arrival (DOA) …

C-GRBFnet: A physics-inspired generative deep neural network for channel representation and prediction

Z **ao, Z Zhang, C Huang, X Chen… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, we aim to efficiently and accurately predict the static channel impulse response
(CIR) with only the user's position information and a set of channel instances obtained within …

A simple cooperative diversity method based on deep-learning-aided relay selection

W Jiang, HD Schotten - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for
mobile nodes to achieve cooperative diversity in slow fading channels. However, the wrong …

A two-stage 2D channel extrapolation scheme for TDD 5G NR systems

Y Wan, A Liu - IEEE Transactions on Wireless Communications, 2024 - ieeexplore.ieee.org
Recently, channel extrapolation has been widely investigated in frequency-division duplex
(FDD) massive multiple-input multiple-output (MIMO) systems. However, in time-division …

Channel prediction with time-varying doppler spectrum in high-mobility scenarios: A polynomial fourier transform based approach and field measurements

X Wang, Y Shi, W **n, T Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Beamforming for multi-antenna wireless communication systems has been widely studied
and applied in practice. However, its performance in high mobility scenarios deteriorates …

Neural network–based wireless channel prediction

W Jiang, H Dieter Schotten… - Machine Learning for …, 2020 - Wiley Online Library
This chapter provides a comprehensive introduction to channel prediction methods with an
emphasis on neural network‐based prediction. It first briefly describes adaptive transmission …