Recently, convolutional neural network (CNN)-based channel estimation (CE) for massive
multiple-input multiple-output communication systems has achieved remarkable success …

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

Channel state information (CSI) estimation is one of the most fundamental problems in
wireless communication systems. Various methods, so far, have been developed to conduct …

The ability to predict the quality of a wireless channel is essential for enabling anticipatory
networking tasks. Traditional channel quality prediction problems encompass predicting …

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 …

In vehicular communications, reliable channel estimation is critical for the system
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …

Access to reliable estimates of the wireless channel, such as the channel state information
(CSI) and the received signal strength would open opportunities for timely adaptation of …

Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …

IEEE 802.11 p standard defines wireless technology protocols that enable vehicular
transportation and manage traffic efficiency. A major challenge in the development of this …

With the aid of accurate channel state information (CSI) at the transmitter, a wireless system
can receive great performance by adaptively selecting its transmission parameters …