In this paper, online deep learning (DL)-based channel estimation algorithm for doubly
selective fading channels is proposed by employing the deep neural network (DNN). With …

The research about deep learning application for physical layer has been received much
attention in recent years. In this paper, we propose a Deep Learning (DL) based channel …

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

Wireless communications systems are impacted by multi-path fading and Doppler shift in
dynamic environments, where the channel becomes doubly-dispersive and its estimation …

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 …

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

Aiming at the problem that the downlink channel estimation performance is limited due to the
fast time-varying and non-stationary characteristics in the high-speed mobile scenarios, we …

In this letter, we present a downlink pilot design scheme for Deep Learning (DL) based
channel estimation (ChannelNet) in orthogonal frequency-division multiplexing (OFDM) …

We consider the use of deep neural network (DNN) to develop a decision-directed (DD)-
channel estimation (CE) algorithm for multiple-input multiple-output (MIMO)-space-time …

Deep learning has demonstrated the important roles in improving the system performance
and reducing computational complexity for 5G-and-beyond networks. In this paper, we …