Trajectory optimization of flying energy sources using q-learning to recharge hotspot uavs
Despite the increasing popularity of commercial usage of UAVs or drone-delivered services,
their dependence on the limited-capacity on-board batteries hinders their flight-time and …
their dependence on the limited-capacity on-board batteries hinders their flight-time and …
Robust trajectory and communication design for multi-UAV enabled wireless networks in the presence of jammers
Y Wu, W Fan, W Yang, X Sun, X Guan - IEEE Access, 2019 - ieeexplore.ieee.org
This paper investigates a multi-unmanned aerial vehicle (UAV) enabled wireless
communication, where a number of ground nodes (GNs) are scheduled to communicate with …
communication, where a number of ground nodes (GNs) are scheduled to communicate with …
A novel AI-based framework for AoI-optimal trajectory planning in UAV-assisted wireless sensor networks
Information freshness, which is characterized by a new performance metric called age of
information (AoI), significantly influences decision making in numerous applications. In …
information (AoI), significantly influences decision making in numerous applications. In …
Reinforcement learning-based collision avoidance and optimal trajectory planning in UAV communication networks
YH Hsu, RH Gau - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
In this paper, we propose a reinforcement learning approach of collision avoidance and
investigate optimal trajectory planning for unmanned aerial vehicle (UAV) communication …
investigate optimal trajectory planning for unmanned aerial vehicle (UAV) communication …
Multi-UAV trajectory planning for energy-efficient content coverage: A decentralized learning-based approach
In next-generation wireless networks, high-mobility unmanned aerial vehicles (UAVs) are
promising to provide content coverage, where users can receive sufficient requested content …
promising to provide content coverage, where users can receive sufficient requested content …
Resource allocation and 3-D trajectory design in wireless networks assisted by rechargeable UAV
Y Guo, S Yin, J Hao - IEEE Wireless Communications Letters, 2019 - ieeexplore.ieee.org
In this letter, we focus on a downlink wireless network aided by an unmanned aerial vehicle
(UAV), which has to be recharged periodically at a fixed depot before providing …
(UAV), which has to be recharged periodically at a fixed depot before providing …
-Learning Aided Intelligent Routing With Maximum Utility in Cognitive UAV Swarm for Emergency Communications
This article studies the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm
(CU-SWARM), which employs the cognitive radio into a swarm of UAVs within a three-layer …
(CU-SWARM), which employs the cognitive radio into a swarm of UAVs within a three-layer …
UAV-aided wireless communication designs with propulsion energy limitations
In this paper, we investigate wireless communication systems where an unmanned aerial
vehicle (UAV) supports data transmissions of multiple ground nodes (GNs) while …
vehicle (UAV) supports data transmissions of multiple ground nodes (GNs) while …
Real-time optimized path planning and energy consumption for data collection in unmanned ariel vehicles-aided intelligent wireless sensing
In this article, we consider a new unmanned ariel vehicles (UAV)-aided intelligent wireless
sensing scheme, where the UAVs are deployed for smart sensing and collecting data from …
sensing scheme, where the UAVs are deployed for smart sensing and collecting data from …
UAV-aided information and energy transmissions for cognitive and sustainable 5G networks
To develop sustainable fifth generation (5G) wireless networks and utilize the unused
spectrum, this paper focuses on cognitive radio (CR) based wireless information and energy …
spectrum, this paper focuses on cognitive radio (CR) based wireless information and energy …