Multi-Objective Optimization of Dynamic Communication Network for Multi-UAVs System
C Zhang, W Yao, Y Zuo, J Gui… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In multi-UAVs system, high-quality communication system is the key to ensure cooperation.
Most of the existing methods focus on the trade-off between connectivity and the number of …
Most of the existing methods focus on the trade-off between connectivity and the number of …
Optimized deployment of multi-UAV based on machine learning in UAV-HST networking
A new communications infrastructure is needed for users to experience the contents of 5G-
based VR/AR in High-Speed Train (HST). Therefore, it is proposed that the Unmanned …
based VR/AR in High-Speed Train (HST). Therefore, it is proposed that the Unmanned …
Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
Multiple UAVs path planning based on deep reinforcement learning in communication denial environment
Y Xu, Y Wei, K Jiang, D Wang, H Deng - Mathematics, 2023 - mdpi.com
In this paper, we propose a C51-Duel-IP (C51 Dueling DQN with Independent Policy)
dynamic destination path-planning algorithm to solve the problem of autonomous navigation …
dynamic destination path-planning algorithm to solve the problem of autonomous navigation …
QoE-driven adaptive deployment strategy of multi-UAV networks based on hybrid deep reinforcement learning
Y Zhou, X Ma, S Hu, D Zhou… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) serve as aerial base stations to provide controlled
wireless connections for ground users. Due to their constraints on both mobility and energy …
wireless connections for ground users. Due to their constraints on both mobility and energy …
Network topology and bandwidth optimization for communication enhancement of multi-UAV system
R Chen, Q Huang, L Yang, C Chi - 2023 38th Youth Academic …, 2023 - ieeexplore.ieee.org
UAV communication network is an important supplement to traditional ground
communication networks. The deployment optimization of the UAV communication network …
communication networks. The deployment optimization of the UAV communication network …
Multi-UAV dynamic wireless networking with deep reinforcement learning
This letter investigates a novel unmanned aerial vehicle (UAV)-enabled wireless
communication system, where multiple UAVs transmit information to multiple ground …
communication system, where multiple UAVs transmit information to multiple ground …
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 …
Deployment optimization of UAV-aided networks through a dynamic tunable model
J Liu, H Zhang, Y He - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
In the existing work of unmanned aerial vehicle base station (UAV-BS) deployment, where
serving radius (SR) is fixed regardless of resource waste and overlapping interference …
serving radius (SR) is fixed regardless of resource waste and overlapping interference …
Deep reinforcement learning for UAV trajectory design considering mobile ground users
A network composed of unmanned aerial vehicles (UAVs), serving as base stations (UAV-
BS network), is emerging as a promising component in next-generation communication …
BS network), is emerging as a promising component in next-generation communication …