A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches
Wireless communication networks have been witnessing unprecedented demand due to the
increasing number of connected devices and emerging bandwidth-hungry applications …
increasing number of connected devices and emerging bandwidth-hungry applications …
UAV trajectory planning in wireless sensor networks for energy consumption minimization by deep reinforcement learning
Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …
Energy minimization in UAV-aided networks: Actor-critic learning for constrained scheduling optimization
In unmanned aerial vehicle (UAV) applications, the UAV's limited energy supply and storage
have triggered the development of intelligent energy-conserving scheduling solutions. In this …
have triggered the development of intelligent energy-conserving scheduling solutions. In this …
A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions
AA Baktayan, IA Al-Baltah - arXiv preprint arXiv:2208.10072, 2022 - arxiv.org
The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
Satellite-assisted UAV trajectory control in hostile jamming environments
Satellite and unmanned aerial vehicle (UAV) networks have been introduced as enhanced
approaches to provide dynamic control, massive connections and global coverage for future …
approaches to provide dynamic control, massive connections and global coverage for future …
6G-Assisted UAV-Truck Networks: Toward Efficient Essential Services Delivery
Energy consumption is a critical constraint for Unmanned Aerial Vehicles (UAVs) delivery
operations to achieve their full potential of providing fast delivery, reducing cost, and cutting …
operations to achieve their full potential of providing fast delivery, reducing cost, and cutting …
Actor-critic learning-based energy optimization for UAV access and backhaul networks
In unmanned aerial vehicle (UAV)-assisted networks, UAV acts as an aerial base station
which acquires the requested data via backhaul link and then serves ground users (GUs) …
which acquires the requested data via backhaul link and then serves ground users (GUs) …
[PDF][PDF] Energy-Efficient and Fresh Data Collection in IoT Networks by Machine Learning
B Zhu - 2022 - harvest.usask.ca
The Internet-of-Things (IoT) is rapidly changing our lives in almost every field, such as smart
agriculture, environmental monitoring, intelligent manufacturing system, etc. How to improve …
agriculture, environmental monitoring, intelligent manufacturing system, etc. How to improve …
Research and Design of an Autonomous Underwater Vehicle Path Planning Method Based on Deep Reinforcement Learning
Y Li - 2023 5th International Conference on Artificial …, 2023 - ieeexplore.ieee.org
This study embarks on the complex issue of path planning for intelligent robots in intricate
underwater environments, probing into the application of Deep Reinforcement Learning …
underwater environments, probing into the application of Deep Reinforcement Learning …
Deep Reinforcement Learning Based Transmission Scheme for UAV MIMO Communication
S Yu, Y Lu, X Tao - 2022 IEEE 22nd International Conference …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) massive MIMO has been considered an important
technology in 6G communications. In this paper, we propose an efficient transmission …
technology in 6G communications. In this paper, we propose an efficient transmission …