Massive MIMO channel prediction via meta-learning and deep denoising: Is a small dataset enough?

H Kim, J Choi, DJ Love - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Accurate channel knowledge is critical in massive multiple-input multiple-output (MIMO),
which motivates the use of channel prediction. Machine learning techniques for channel …

Dual residual denoising autoencoder with channel attention mechanism for modulation of signals

R Duan, Z Chen, H Zhang, X Wang, W Meng, G Sun - Sensors, 2023 - mdpi.com
Aiming to address the problems of the high bit error rate (BER) of demodulation or low
classification accuracy of modulation signals with a low signal-to-noise ratio (SNR), we …

A comprehensive review and comparative analysis of 5g and 6g based mimo channel estimation techniques

M Susandhika - … Conference on Recent Trends in Electronics …, 2023 - ieeexplore.ieee.org
A wireless network's overall performance is greatly impacted by the accuracy of its channel
estimate. Deep learning has also shown to be a significant advancement in improving …

Deep Learning-Based Two-Stage Channel Tracking for Ground-to-Air Communication Systems

Z Chao, X Wang, Z Zheng - 2024 9th International Conference …, 2024 - ieeexplore.ieee.org
In current wireless communication systems, the channel state information (CSI) is acquired
from the received pilot sequence, whose accuracy is degraded due to the channel …

CSI Feedback Enhancement using Machine Learning

MK Shehzad - 2023 - theses.hal.science
Acquisition of channel state information (CSI) is indispensable in a cellular network. In the
current communication architecture, the downlink CSI is estimated by the user equipment …