A three-dimensional geometry-based stochastic model for air-to-air UAV channels

Y Zhang, Y Zhou, Z Ji, K Lin, Z He - 2020 IEEE 92nd Vehicular …, 2020 - ieeexplore.ieee.org
Recently, the utilization of unmanned aerial vehicles (UAVs) has been increasingly popular
in various fields. As a brand new scenario of wireless communication, establishing feasible …

Autonomous relay for millimeter-wave wireless communications

L Kong, L Ye, F Wu, M Tao, G Chen… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is the rising technology for next-generation
wireless transmission. Benefited by its abundant bandwidth and short wavelength, mmWave …

Multiagent collaborative learning for uav enabled wireless networks

W Xia, Y Zhu, L De Simone, T Dagiuklas… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) technique provides a potential solution to scalable
wireless edge networks. This paper uses two UAVs, with accelerated motions and fixed …

Millimeter wave remote UAV control and communications for public safety scenarios

W Xia, M Polese, M Mezzavilla… - 2019 16th Annual …, 2019 - ieeexplore.ieee.org
Communication and video capture from unmanned aerial vehicles (UAVs) offer significant
potential for assisting first responders in remote public safety settings. In such uses …

Millimeter wave channel modeling via generative neural networks

W Xia, S Rangan, M Mezzavilla… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Statistical channel models are instrumental to design and evaluate wireless communication
systems. In the millimeter wave bands, such models become acutely challenging; they must …

Cognition in UAV-aided 5G and beyond communications: A survey

Z Ullah, F Al-Turjman, L Mostarda - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have attained significant interest in
different applications including aerial surveillance, providing wireless coverage, precision …

Drone-aided networking with massive connectivity and high spectral efficiency enabled

L Bing, L Hu, Y Gu, Y Yin - Drones, 2023 - mdpi.com
Drone-aided networking is considered a potential candidate for internet of things (IoT)
networking in 5G and beyond, where drones are deployed to serve a large number of …

A multi-subsampling self-attention network for unmanned aerial vehicle-to-ground automatic modulation recognition system

Y Shen, H Yuan, P Zhang, Y Li, M Cai, J Li - Drones, 2023 - mdpi.com
In this paper, we investigate the deep learning applications of radio automatic modulation
recognition (AMR) applications in unmanned aerial vehicle (UAV)-to-ground AMR systems …

Secrecy-driven energy minimization in federated learning-assisted marine digital twin networks

LP Qian, M Li, P Ye, Q Wang, B Lin… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Digital twin has been emerging as a promising paradigm that connects physical entities and
digital space, and continuously evolves to optimize the physical systems. In this article, we …

Cellular UAV-to-device communications: Trajectory design and mode selection by multi-agent deep reinforcement learning

F Wu, H Zhang, J Wu, L Song - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current unmanned aircraft systems (UASs) for sensing services, unmanned aerial
vehicles (UAVs) transmit their sensory data to terrestrial mobile devices over the unlicensed …