Deep learning for physical-layer 5G wireless techniques: Opportunities, challenges and solutions
The new demands for high-reliability and ultra-high capacity wireless communication have
led to extensive research into 5G communications. However, current communication …
led to extensive research into 5G communications. However, current communication …
Exploiting UAV for air-ground integrated federated learning: A joint UAV location and resource optimization approach
Y Jing, Y Qu, C Dong, W Ren, Y Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, many exciting usage scenarios and groundbreaking technologies for sixth
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
An experimental mmWave channel model for UAV-to-UAV communications
Unmanned Aerial Vehicle (UAV) networks can provide a resilient communication
infrastructure to enhance terrestrial networks in case of traffic spikes or disaster scenarios …
infrastructure to enhance terrestrial networks in case of traffic spikes or disaster scenarios …
Deep reinforcement learning based resource allocation and trajectory planning in integrated sensing and communications UAV network
Y Qin, Z Zhang, X Li, W Huangfu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, multi-UAVs serve as mobile aerial ISAC platforms to sense and communicate
with on-ground target users. To optimize the communication and sensing performance, we …
with on-ground target users. To optimize the communication and sensing performance, we …
Empowering the edge intelligence by air-ground integrated federated learning in 6G networks
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth
generation (6G) networks, which implies the intelligence over the whole network from the …
generation (6G) networks, which implies the intelligence over the whole network from the …
Data-driven beam management with angular domain information for mmWave UAV networks
Unmanned aerial vehicles (UAVs) have extensive civilian and military applications, but
establishing a UAV network providing high data rate communications with low delay is a …
establishing a UAV network providing high data rate communications with low delay is a …
Packet routing in dynamic multi-hop UAV relay network: A multi-agent learning approach
The multi-hop unmanned aerial vehicle (UAV) network can serve as data relays where
ground users (GUs) do not have reliable direct connections to the base station (BS). Existing …
ground users (GUs) do not have reliable direct connections to the base station (BS). Existing …
Deep learning-aided off-grid channel estimation for millimeter wave cellular systems
L Wan, K Liu, W Zhang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
It is challenging to acquire accurate channel knowledge for sufficient beamforming gain
because of the large number of antennas. In this paper, a deep learning aided channel …
because of the large number of antennas. In this paper, a deep learning aided channel …
A novel federated learning scheme for generative adversarial networks
Generative adversarial networks (GANs) have been advancing and gaining tremendous
interests from both academia and industry. With the development of wireless technologies, a …
interests from both academia and industry. With the development of wireless technologies, a …
Channel tracking with flight control system for UAV mmWave MIMO communications
Unmanned aerial vehicle (UAV) communications could offer flexible scheduling, improved
reliability, enhanced capacity over much wider range, and has become a key part of the …
reliability, enhanced capacity over much wider range, and has become a key part of the …