Low complexity deep learning augmented wireless channel estimation for pilot-based ofdm on zynq system on chip
Channel estimation (CE) is one of the critical signal-processing tasks of the wireless
physical layer (PHY). Recent deep learning (DL) based CE have outperformed statistical …
physical layer (PHY). Recent deep learning (DL) based CE have outperformed statistical …
Prediction of Key Parameters of Wheelset Based on LSTM Neural Network
D Ye, J Wen, S Zheng, Q Zhong, W Pei, H Jia, C Zhou… - Applied Sciences, 2023 - mdpi.com
As a key component of rail vehicle operation, the running condition of the wheelset
significantly affects the operational safety of track vehicles. The wheel diameter, flange …
significantly affects the operational safety of track vehicles. The wheel diameter, flange …
Machine Learning in Communications: A Road to Intelligent Transmission and Processing
Prior to the era of artificial intelligence and big data, wireless communications primarily
followed a conventional research route involving problem analysis, model building and …
followed a conventional research route involving problem analysis, model building and …
Examination of Multiples Users MIMO-NOMA over Robust Fading Channel Conditions
M SubrahmanyeswaraRao, R Shankar, S Gupta… - Procedia Computer …, 2024 - Elsevier
The purpose of this study is to analyze the performance of the multiple-input multiple-output
(MIMO) system in combination with the non-orthogonal multiple access (NOMA) system …
(MIMO) system in combination with the non-orthogonal multiple access (NOMA) system …
Investigation of Deep Learning Based NOMA System Over Time Varying Fading
S Rao, R Shankar, I Kumar, S Gupta… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
This study investigates the deep learning (DL)-based uplink power domain non-orthogonal
multiple access (PD-NOMA) system, with a focus on channel state information (CSI) …
multiple access (PD-NOMA) system, with a focus on channel state information (CSI) …