In this paper, we propose a new deep neural network (DNN)-based channel estimation
method for the Rayleigh fading channel model. While deep learning has been considered …

Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …

Deep Learning has rendered overwhelming potential to support the rising interest of high
dependability and maximum capacity wireless communication systems. Channel estimation …

In this review paper, we have tried to review the maximum amount of research work done till
date on deep learning-based algorithms for channel estimation in different wireless systems …

Channel estimation is a significant prerequisite in wireless communication, especially where
the multipath radio propagation incurs significant fading in a noisy environment. In such a …

Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …

Double deep Q-learning (DDQL) algorithm for channel estimation for industrial wireless
networks is proposed. Mean square error (MSE) and bit error rate (BER) as two key metrics …

The quality of channel estimation (CE) is critical to the performence of wireless
communication systems. In addition to the conventional model based CE methods appeared …

In wireless communication, the transmitted signal is subjected to distortion, noise, frequency
shift, non-linear attenuation, fading, and so on due to the inherent nature of the physical …

Channel Estimation is one of the essential tasks to realize a reconfigurable intelligent
surface (RIS)-aided orthogonal frequency division multiplexing (OFDM) communication …