A learning-based end-to-end wireless communication system utilizing a deep neural network channel module
The existing end-to-end (E2E) wireless communication systems require fewer
communication modules and have a simple processing signal flow, compared to …
communication modules and have a simple processing signal flow, compared to …
UAV-aided low latency mobile edge computing with mmWave backhaul
Y Yu, X Bu, K Yang, H Yang… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV) has been considered as a promising technique in
mobile edge computing networks, and enhances the performances of ultra-reliable and low …
mobile edge computing networks, and enhances the performances of ultra-reliable and low …
Channel agnostic end-to-end learning based communication systems with conditional GAN
In this article, we use deep neural networks (DNNs) to develop an end-to-end wireless
communication system, in which DNNs are employed for all signal-related functionalities …
communication system, in which DNNs are employed for all signal-related functionalities …
A federated deep learning empowered resource management method to optimize 5G and 6G quality of services (QoS)
H Alsulami, SH Serbaya… - Wireless …, 2022 - Wiley Online Library
The quality of service (QoS) in 5G/6G communication enormously depends upon the
mobility and agility of the network architecture. An increase in the possible uses of 5G …
mobility and agility of the network architecture. An increase in the possible uses of 5G …
Learning-based robust and secure transmission for reconfigurable intelligent surface aided millimeter wave UAV communications
In this letter, we study the robust and secure transmission in the millimeter-wave (mmWave)
unmanned aerial vehicle (UAV) communication assisted by a reconfigurable intelligent …
unmanned aerial vehicle (UAV) communication assisted by a reconfigurable intelligent …
Geometric analysis-based 3d anti-block uav deployment for mmwave communications
F Li, C He, X Li, J Peng, K Yang - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, an unmanned aerial vehicle (UAV) three-dimensional (3D) deployment problem
for millimeter wave (mmWave) communications is examined. Due to the sensitivity of …
for millimeter wave (mmWave) communications is examined. Due to the sensitivity of …
[HTML][HTML] MEC-empowered non-terrestrial network for 6G wide-area time-sensitive internet of things
In the upcoming sixth-generation (6G) era, the demand for constructing a wide-area time-
sensitive Internet of Things (IoT) continues to increase. As conventional cellular …
sensitive Internet of Things (IoT) continues to increase. As conventional cellular …
Channel characterization and modeling for 6G UAV-assisted emergency communications in complicated mountainous scenarios
Regarding the new demands and challenges of sixth-generation (6G) mobile
communications, wireless networks are undergoing a significant shift from traditional …
communications, wireless networks are undergoing a significant shift from traditional …
Physics-based 3D end-to-end modeling for double-RIS assisted non-stationary UAV-to-ground communication channels
In this paper, we propose a three-dimensional (3D) physics-based double reconfigurable
intelligent surface (RIS) cooperatively assisted multiple-input multiple-output (MIMO) …
intelligent surface (RIS) cooperatively assisted multiple-input multiple-output (MIMO) …
Ray-tracing simulation and hybrid channel modeling for low-terahertz UAV communications
Unmanned Aerial Vehicles (UAVs) are currently playing an important role in both military
and commercial applications. While UAVs possess potential to enhance network coverage …
and commercial applications. While UAVs possess potential to enhance network coverage …