CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels
Y Zeng, L Qiao, Z Gao, T Qin, Z Wu, S Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink
channel state information (CSI) with low overhead is challenging. In this work, by integrating …
channel state information (CSI) with low overhead is challenging. In this work, by integrating …
Multi-Head Transformer Architecture with Higher Dimensional Feature Representation for Massive MIMO CSI Feedback
Q Chen, A Guo, Y Cui - Applied Sciences, 2024 - mdpi.com
To achieve the anticipated performance of massive multiple input multiple output (MIMO)
systems in wireless communication, it is imperative that the user equipment (UE) accurately …
systems in wireless communication, it is imperative that the user equipment (UE) accurately …
Detecting malicious pilot contamination in multiuser massive MIMO using decision trees
Massive multiple-input multiple-output (MMIMO) is essential to modern wireless
communication systems, like 5G and 6G, but it is vulnerable to active eavesdropping attacks …
communication systems, like 5G and 6G, but it is vulnerable to active eavesdropping attacks …
Deep Learning for CSI Feedback: One-Sided Model and Joint Multi-Module Learning Perspectives
The use of deep learning (DL) for channel state information (CSI) feedback has garnered
widespread attention across academia and industry. The mainstream DL architectures, eg …
widespread attention across academia and industry. The mainstream DL architectures, eg …
Deep Learning-Based Joint Channel Estimation and CSI Feedback for RIS-Assisted Communications
H Feng, Y Xu, Y Zhao - IEEE Communications Letters, 2024 - ieeexplore.ieee.org
In reconfigurable intelligent surface (RIS)-assisted communication systems, downlink
channel state information (CSI) is essential for designing beamforming at both the base …
channel state information (CSI) is essential for designing beamforming at both the base …
Deep learning-based massive MIMO CSI acquisition for 5G evolution and 6G
X Wang, X Hou, L Chen, Y Kishiyama… - IEICE Transactions on …, 2022 - search.ieice.org
Channel state information (CSI) acquisition at the transmitter side is a major challenge in
massive MIMO systems for enabling high-efficiency transmissions. To address this issue …
massive MIMO systems for enabling high-efficiency transmissions. To address this issue …
Deep Learning Based Joint CSI Compression and Prediction for Beyond-5G Systems
We consider a deep learning (DL) based approach to optimize channel state information
(CSI) reporting in massive multiple-input and multiple-output (MIMO) systems. For CSI …
(CSI) reporting in massive multiple-input and multiple-output (MIMO) systems. For CSI …
A Hyper-Network-Aided Approach for ISTA-based CSI Feedback in Massive MIMO systems
Y Zou, Z Hu, Y Zhang, J Xue - 2023 IEEE 98th Vehicular …, 2023 - ieeexplore.ieee.org
Accurate channel state information (CSI) is critical for achieving high performance in
massive multiple input multiple output (MIMO) systems. While existing deep learning (DL) …
massive multiple input multiple output (MIMO) systems. While existing deep learning (DL) …
Deep learning based CSI reconstruction with limited feedback for massive MIMO systems
X Wang, X Hou, L Chen, Y Kishiyama… - … Conference on Mobile …, 2021 - ieeexplore.ieee.org
Channel state information (CSI) acquisition is one of the major challenges for massive MIMO
systems to enable high efficiency MIMO transmissions. Limited feedback schemes, which …
systems to enable high efficiency MIMO transmissions. Limited feedback schemes, which …
Smart-CSI: Deep Learning Based Low Complexity CSI Prediction for Beyond-5G Systems
S Kadambar, AKR Chavva, C Lim… - 2023 IEEE 98th …, 2023 - ieeexplore.ieee.org
Acquiring accurate channel state information (CSI) is challenging in MIMO systems as it is
quickly outdated due to fast variations in the channel. Particularly, in frequency division …
quickly outdated due to fast variations in the channel. Particularly, in frequency division …