Learning based csi feedback prediction for 5g nr
Acquisition of accurate channel state information (CSI) is critical in multiple-input and
multiple-output (MIMO) systems to achieve efficient link adaptation. As CSI is typically …
multiple-output (MIMO) systems to achieve efficient link adaptation. As CSI is typically …
A deep learning based approach for 5G NR CSI estimation
Accurate estimation of channel state information (CSI) and sharing the same to transmitter is
crucial to MIMO systems for efficient link adaptation. Although, performance of conventional …
crucial to MIMO systems for efficient link adaptation. Although, performance of conventional …
CSI classification for 5G via deep learning
A Vora, PX Thomas, R Chen… - 2019 IEEE 90th Vehicular …, 2019 - ieeexplore.ieee.org
5G communication requires continuous exchanges of channel state information (CSI)
between the base station and user equipment (UE) to adjust the physical layer parameters …
between the base station and user equipment (UE) to adjust the physical layer parameters …
Accelerating the Inference of Deep Learning-based CSI Feedback on a General-purpose CPU
J Xiao, Y Jiang, P Song, X Hei - 2024 IEEE/CIC International …, 2024 - ieeexplore.ieee.org
Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries worldwide
and the telecom industry is no exception. Nowadays, AI/ML technologies have been applied …
and the telecom industry is no exception. Nowadays, AI/ML technologies have been applied …
A machine learning approach for SNR prediction in 5G systems
K Saija, S Nethi, S Chaudhuri… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Channel State Information (CSI) feedback from the User Equipment (UE) on the uplink (UL)
channel is an integral part of the 5G-NR standard. It allows next-generation Node-B (gNB) to …
channel is an integral part of the 5G-NR standard. It allows next-generation Node-B (gNB) to …
Channel state information prediction for 5G wireless communications: A deep learning approach
Channel state information (CSI) estimation is one of the most fundamental problems in
wireless communication systems. Various methods, so far, have been developed to conduct …
wireless communication systems. Various methods, so far, have been developed to conduct …
Adaptive CQI and RI estimation for 5G NR: A shallow reinforcement learning approach
A Baknina, HJ Kwon - GLOBECOM 2020-2020 IEEE Global …, 2020 - ieeexplore.ieee.org
In this paper, we study the problem of estimating rank indicator (RI) and channel quality
indicator (CQI) under 5G new radio (NR) specification. The main challenge for estimating RI …
indicator (CQI) under 5G new radio (NR) specification. The main challenge for estimating RI …
DARENet: Data ARrangEment Neural Network for Eigenvector-Based CSI Feedback
R Gao, X Li, W Chen - IEEE Wireless Communications Letters, 2024 - ieeexplore.ieee.org
In 5G communications, the precision of Channel State Information (CSI) feedback is vital,
and the massive Multiple-Input Multiple-Output (MIMO) systems rely heavily on this for …
and the massive Multiple-Input Multiple-Output (MIMO) systems rely heavily on this for …
Transfer learning capabilities of untrained neural networks for MIMO CSI recreation
Machine learning (ML) applications for wireless communications have gained momentum
on the standardization discussions for 5G advanced and beyond. One of the biggest …
on the standardization discussions for 5G advanced and beyond. One of the biggest …
Deep transfer learning for 5G massive MIMO downlink CSI feedback
Acquisition of downlink channel state information (CSI) is an important procedure performed
at the base station (BS) for high quality wireless communication in frequency division …
at the base station (BS) for high quality wireless communication in frequency division …