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 …

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

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

The primary air interface of fifth-generation (5G) wireless communication is multi-input multi-
output orthogonal frequency division multiplexing (MIMO-OFDM). In addition, channel …

Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation used in a
variety of broadband systems, such as asymmetric digital subscriber lines, very-high-speed …

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 …

In this paper, we devise a highly efficient machine learning-based channel estimation for
orthogonal frequency division multiplexing (OFDM) systems, in which the training of the …

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

Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …