Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great
promise in various disciplines such as image classification and segmentation, speech …

In this paper, we propose an encoder-decoder neural architecture (called Channelformer) to
achieve improved channel estimation for orthogonal frequency-division multiplexing (OFDM) …

Recently, machine learning-based channel estimation has attracted much attention. The
performance of machine learning-based estimation has been validated by simulation …

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 modeling is fundamental to design wireless communication systems. A common
practice is to conduct tremendous amount of channel measurement data and then to derive …

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

Wi‐Fi networks rely on channel estimation to ensure their performance. The computational
complexity and dependability of fifth generation telecommunication networks have …

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 …

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