Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
Multi-agent learning-based optimal task offloading and UAV trajectory planning for AGIN-power IoT
P Qin, Y Fu, Y Xie, K Wu, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
UAV-based air-ground integrated computing networks (AGIN) have gained significant
traction in remote areas for the Power Internet of Things (PIoT). This paper considers an …
traction in remote areas for the Power Internet of Things (PIoT). This paper considers an …
Multi-Agent RL Based Jointly Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network
X Dai, Z Lu, X Chen, X Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In this article, we propose a downlink communication scheme for large-scale high-
interference unmanned aerial vehicle (UAV) swarm network based on nonorthogonal …
interference unmanned aerial vehicle (UAV) swarm network based on nonorthogonal …
NOMA-assisted routing algorithm design for UAV ad hoc relay networks
X Yang, B Han, G Zhang, P Zheng, J Bai… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) ad hoc networks can be deployed flexibly and rapidly
without any infrastructure, so as to play an irreplaceable role in postdisaster relief. However …
without any infrastructure, so as to play an irreplaceable role in postdisaster relief. However …
[HTML][HTML] Minimizing energy consumption for NOMA multi-drone communications in automotive-industry 5.0
The forthcoming era of the automotive industry, known as Automotive-Industry 5.0, will
leverage the latest advancements in 6G communications technology to enable reliable …
leverage the latest advancements in 6G communications technology to enable reliable …
Deep reinforcement learning empowered joint mode selection and resource allocation for RIS-aided D2D communications
L Guo, J Jia, J Chen, A Du, X Wang - Neural Computing and Applications, 2023 - Springer
Abstract Device-to-device (D2D) communication has been regarded as a promising solution
to alleviate the mobile traffic explosion problem for its capabilities of improving system data …
to alleviate the mobile traffic explosion problem for its capabilities of improving system data …
Reinforcement learning based joint trajectory design and resource allocation for RIS-aided UAV multicast networks
P Ji, J Jia, J Chen, L Guo, A Du, X Wang - Computer Networks, 2023 - Elsevier
This paper investigates an unmanned aerial vehicle (UAV)-enabled multicast network,
where the UAV serves as a mobile transmitter to send typical contents to its corresponding …
where the UAV serves as a mobile transmitter to send typical contents to its corresponding …
Channel assignment and power allocation utilizing NOMA in long-distance UAV wireless communication
Non-orthogonal multiple access (NOMA) is indeed an important technique of 5G and
beyond 5G (B5G) communication systems, as it can increase the spectrum efficiency and …
beyond 5G (B5G) communication systems, as it can increase the spectrum efficiency and …
Deep reinforcement learning in NOMA-assisted UAV networks for path selection and resource offloading
X Yang, D Qin, J Liu, Y Li, Y Zhu, L Ma - Ad Hoc Networks, 2023 - Elsevier
This paper constructs a NOMA-based UAV-assisted Cellular Offloading (UACO) framework
and designs a UAV path selection and resource offloading algorithm (UPRA) based on deep …
and designs a UAV path selection and resource offloading algorithm (UPRA) based on deep …