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

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

The increasing complexity on channel modeling and the cost on collecting plenty of high-
quality wireless channel data have become the main bottlenecks of developing deep …

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 …

For high data rate wireless communication systems, developing an efficient channel
estimation approach is extremely vital for channel detection and signal recovery. With the …

The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent
surface (RIS) technologies is proposed to meet the demands of data rate, latency, and …

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

Deep learning has solved many problems that are out of reach of heuristic algorithms. It has
also been successfully applied in wireless communications, even though the current radio …

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 …

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