Radio link quality is highly influenced by changes in the physical environment. To sustain
reliable and efficient data delivery, link quality estimation is essential for Cyber-Physical …

In this paper, we propose a new deep neural network (DNN)-based channel estimation
method for the Rayleigh fading channel model. While deep learning has been considered …

In future 6G wireless communication, the utilization of ultra-massive MIMO and the
requirement of high-mobility communications bring more complex propagation features to …

The Industrial Internet of Things (IIoT), as the typical application of the fifth generation mobile
communication (5G) has its complex and special electromagnetic propagation …

Accurately modeling and predicting wireless channel quality variations is essential for a
number of networking applications such as scheduling and improved video streaming over …

With the rapid development and broad applications of unmanned aerial vehicle (UAV)-
based wireless stations in the sky, fundamental understanding and characterization of the …

Channel estimation is a critical module to determine the performance of wireless receivers.
For some communication systems, the channels are time-varying and without well-justified …

The quality of channel estimation (CE) is critical to the performence of wireless
communication systems. In addition to the conventional model based CE methods appeared …

With the development of smart connected automated guided vehicles (AGVs) and robots,
many new services and applications occur, which require flexible wireless end-to-end …

Abstract Unmanned Aerial Vehicles (UAVs) with mobility and flexibility enhance wireless
transmission performance in various mobile communication scenarios by acting as a mobile …