Accurate channel estimation (CE) can significantly reduce the Bit Error Rate (BER) and
improve the efficiency and quality of communication, and has become one of the key …

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 …

The channel estimation (CE) in wireless receivers is one of the most critical and
computationally complex signal processing operations. Recently, various works have shown …

Nowadays, the integration of conventional 5G communication systems and artificial
intelligence (AI) has become one of the important trends for the evolution of future advanced …

Channel estimation forms one of the central component in current Orthogonal Frequency
Division Multiplexing (OFDM) systems that aims to eliminate the inter-symbol interference by …

Channel estimation using neural networks has proven to be a breakthrough technology in
the communications field. However, to achieve good performance, the existing studies …

In view of the requirement of high speed and low delay in 5G system, traditional channel
estimation algorithms are difficult to meet the requirements. This paper regards the channel …

Research on machine learning for channel estimation, especially neural network solutions
for wireless communications, is attracting significant current interest. This is because …

This paper presents a trade-off study concerning the impact of convolutional neural network
(CNN) architectures design on the performance of deep learning (DL) based channel …

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 …