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

In an unmanned aerial vehicle (UAV) communication network, especially for mission-critical
applications, ultra-reliable and low-latency communication (URLLC) of the control links has …

Unmanned aerial vehicle (UAV) is a promising platform for future communication systems
due to its high mobility, maneuverability, and low cost. The unique features that distinguish …

Channel estimation in vehicle-to-everything (V2X) communications is a challenging issue
due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp …

In this paper, we propose a novel deep learning based channel estimation scheme for IEEE
802.11 p vehicle-to-everything (V2X) communication systems. A major challenge in the V2X …

Unmanned aerial vehicle (UAV) is considered as an important component for future
communication networks. In this paper, an air-to-ground (A2G) channel sounder is designed …

In the IEEE 802.11 p standard, channel estimation is quite challenging in the presence of
high mobility due to rapid channel variations. Extensive research has been conducted on …

IEEE 802.11 p standard is specially developed to define vehicular communications
requirements and support cooperative intelligent transport systems. In such environment …

The fifth generation New Radio vehicle-to-everything (5G NR-V2X) has higher requirements
for delay and reliability, which brings challenges to the physical layer signal processing …

Deep learning based channel estimation techniques have recently found an overwhelming
interest owing to data-driven learning-based adaptability compared to conventional …