Using deep learning technologies, the channel estimate for an orthogonal frequency
division multiplexing system (OFDM) based on pilots is done in this work. To be more …

This study proposes an online deep learning‐based channel state estimator for OFDM
wireless communication systems by employing the deep learning long short‐term memory …

This study uses deep learning (DL) techniques for pilot-based channel estimation in
orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot …

In this letter we apply deep learning tools to conduct channel estimation for an orthogonal
frequency division multiplexing (OFDM) system based on downlink pilots. To be specific, a …

In wireless communication orthogonal frequency division multiplexing (OFDM) systems with
high mobility, channel estimation becomes challenging due to the double selectivity of …

Deep learning (DL) algorithms can enhance wireless communication system efficiency and
address numerous physical layer challenges. Channel state estimation (CSE) and signal …

In this study, a deep learning bidirectional long short-term memory (BiLSTM) recurrent
neural network-based channel state information estimator is proposed for 5G orthogonal …

At cellular wireless communication systems, channel estimation (CE) is one of the key
techniques that are used in Orthogonal Frequency Division Multiplexing modulation …

In wireless communication systems, channel estimation is one of the vital processes for
determining channel characteristics. Deep learning based approaches construct a 2D image …

Recently much research work has focused on employing deep learning (DL) algorithms to
perform channel estimation in the upcoming 6G communication systems. However, these DL …