Empowering edge intelligence by air-ground integrated federated learning
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth
generation (6G) networks, which implies intelligence over the whole network from the core to …
generation (6G) networks, which implies intelligence over the whole network from the core to …
Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning
Federated Learning (FL) is a machine learning approach that enables the creation of shared
models for powerful applications while allowing data to remain on devices. This approach …
models for powerful applications while allowing data to remain on devices. This approach …
Fast beam tracking discontinuous reception for D2D-based UAV mmWave communication
Z Zhang, Q Zhu, P Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
The device-to-device (D2D) communication integrated with the millimeter-wave (mmWave)
air interface will play a significant role in the future mobile communication in terms of high …
air interface will play a significant role in the future mobile communication in terms of high …
A communication channel density estimating generative adversarial network
A Smith, J Downey - 2019 IEEE Cognitive Communications for …, 2019 - ieeexplore.ieee.org
Autoencoder-based communication systems use neural network channel models to
backwardly propagate message reconstruction error gradients across an approximation of …
backwardly propagate message reconstruction error gradients across an approximation of …
UAV communications with machine learning: challenges, applications and open issues
S Ben Aissa, A Ben Letaifa - Arabian Journal for Science and Engineering, 2022 - Springer
Unmanned aerial vehicles (UAV) have recently proved their ability to afford reliable and cost-
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …
Temporally correlated compressed sensing using generative models for channel estimation in unmanned aerial vehicles
Bayesian modelling of the channel distribution is a crucial step before channel recovery
specially in the underdetermined scenario in multiple input multiple output (MIMO) antenna …
specially in the underdetermined scenario in multiple input multiple output (MIMO) antenna …
Trajectory design and generalization for UAV enabled networks: A deep reinforcement learning approach
X Li, Q Wang, J Liu, W Zhang - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this paper, an unmanned aerial vehicle (UAV) flies as a base station (BS) to provide
wireless communication service. We propose two algorithms for designing the trajectory of …
wireless communication service. We propose two algorithms for designing the trajectory of …
Joint trajectory design and BS association for cellular-connected UAV: An imitation-augmented deep reinforcement learning approach
YJ Chen, DY Huang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
This article concerns the problem of the trajectory design and base station (BS) association
for cellular-connected unmanned aerial vehicles (UAVs). To support safety-critical functions …
for cellular-connected unmanned aerial vehicles (UAVs). To support safety-critical functions …
Applying deep-learning-based computer vision to wireless communications: Methodologies, opportunities, and challenges
Deep learning (DL) has seen great success in the computer vision (CV) field, and related
techniques have been used in security, healthcare, remote sensing, and many other areas …
techniques have been used in security, healthcare, remote sensing, and many other areas …
A non-stationary 3D model for 6G massive MIMO mmWave UAV channels
L Bai, Z Huang, X Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes a non-stationary three-dimensional (3D) irregular-shaped geometry-
based stochastic model (IS-GBSM) for fifth generation (5G) and beyond massive multiple …
based stochastic model (IS-GBSM) for fifth generation (5G) and beyond massive multiple …