Machine learning based channel estimation for 5G NR-V2V communications: Sparse bayesian learning and Gaussian progress regression
Y Liao, X Li, Z Cai - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In intelligent transportation systems (ITS), 5G NR-V2V communication is adopted to expand
the connectivity and coverage of ITS applications, where the data needs to be processed …
the connectivity and coverage of ITS applications, where the data needs to be processed …
Uplink assisted mimo channel feedback method based on deep learning
Q Liu, J Sun, P Wang - Entropy, 2023 - mdpi.com
In order to solve the problem wherein too many base station antennas are deployed in a
massive multiple-input–multiple-output system, resulting in high overhead for downlink …
massive multiple-input–multiple-output system, resulting in high overhead for downlink …
Deep Reinforcement Learning Heterogeneous Channels for Poisson Multiple Access
X Zhang, P Chen, G Yu, S Wang - Mathematics, 2023 - mdpi.com
This paper proposes a medium access control (MAC) protocol based on deep reinforcement
learning (DRL), ie, multi-channel transmit deep-reinforcement learning multi-channel access …
learning (DRL), ie, multi-channel transmit deep-reinforcement learning multi-channel access …
Denoising generalization performance of channel estimation in multipath time-varying OFDM systems
Y Li, X Bian, M Li - Sensors, 2023 - mdpi.com
Although Orthogonal Frequency Division Multiplexing (OFDM) technology is still the key
transmission waveform technology in 5G, traditional channel estimation algorithms are no …
transmission waveform technology in 5G, traditional channel estimation algorithms are no …
Off-grid DOA estimation via a deep learning framework
Abstract Direction-of-arrival (DOA) estimation problem is one of the most important tasks for
array signal processing. Conventional methods are limited by either the computational …
array signal processing. Conventional methods are limited by either the computational …
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 …
high mobility communication scenarios, in which the channel being highly time-varying and …
Machine Learning-Based Channel Estimation Techniques for ATSC 3.0
YS Liu, SD You, YC Lai - Information, 2024 - mdpi.com
Channel estimation accuracy significantly affects the performance of orthogonal frequency-
division multiplexing (OFDM) systems. In the literature, there are quite a few channel …
division multiplexing (OFDM) systems. In the literature, there are quite a few channel …
CNN-based timing synchronization for OFDM systems assisted by initial path acquisition in frequency selective fading channel
C Qing, N Yang, S Tang, C Rao… - MILCOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Multi-path fading seriously affects the accuracy of timing synchronization (TS) in orthogonal
frequency division multiplexing (OFDM) systems. To tackle this issue, we propose a …
frequency division multiplexing (OFDM) systems. To tackle this issue, we propose a …
A Survey on Channel Estimation Technique Classifications and Various Algorithms
K Kuanysh, D Singh, IA Ukaegbu - International Conference on Intelligent …, 2023 - Springer
The field of wireless communication is experiencing rapid advancements, leading to
remarkable achievements in terms of both high data rates and low latency. Notably, the …
remarkable achievements in terms of both high data rates and low latency. Notably, the …