[HTML][HTML] Online Joint Optimization of Virtual Network Function Deployment and Trajectory Planning for Virtualized Service Provision in Multiple-Unmanned-Aerial …
Q He, J Liang - Electronics, 2024 - mdpi.com
The multiple-unmanned-aerial-vehicle (multi-UAV) mobile edge network is a promising
networking paradigm that uses multiple resource-limited and trajectory-planned unmanned …
networking paradigm that uses multiple resource-limited and trajectory-planned unmanned …
AI-based mobility-aware energy efficient resource allocation and trajectory design for NFV enabled aerial networks
M Pourghasemian, MR Abedi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel joint intelligent trajectory design and resource allocation
algorithm based on users' mobility and their requested services for unmanned aerial …
algorithm based on users' mobility and their requested services for unmanned aerial …
Multi-agent deep reinforcement learning based uav trajectory optimization for differentiated services
Driven by the increasing computational demand of real-time mobile applications, Unmanned
Aerial Vehicle (UAV) assisted Multi-access Edge Computing (MEC) has been envisioned as …
Aerial Vehicle (UAV) assisted Multi-access Edge Computing (MEC) has been envisioned as …
Multi-agent federated reinforcement learning strategy for mobile virtual reality delivery networks
Virtual reality (VR) services have become increasingly popular but presented challenges for
wireless communications due to the large amounts of data requirements. In this work, we …
wireless communications due to the large amounts of data requirements. In this work, we …
Deep reinforcement learning-based online resource management for uav-assisted edge computing with dual connectivity
Mobile Edge Computing (MEC) is a key technology towards delay-sensitive and
computation-intensive applications in future cellular networks. In this paper, we consider a …
computation-intensive applications in future cellular networks. In this paper, we consider a …
Deep reinforcement learning driven UAV-assisted edge computing
Unmanned aerial vehicles (UAVs) are playing a critical role in provisioning instant
connectivity and computational needs of Internet of Things Devices (IoTDs), especially in …
connectivity and computational needs of Internet of Things Devices (IoTDs), especially in …
Mobile-Aware Service Offloading for UAV-Assisted IoVs: A Multi-Agent Tiny Distributed Learning Approach
Y Liu, P Lin, M Zhang, Z Zhang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs)-assisted multiaccess edge computing (MEC) platforms
are becoming an increasingly popular solution for infrastructure-less Internet of Vehicles …
are becoming an increasingly popular solution for infrastructure-less Internet of Vehicles …
Toward big data processing in IoT: Path planning and resource management of UAV base stations in mobile-edge computing system
Heavy data load and wide cover range have always been crucial problems for big data
processing in Internet of Things (IoT). Recently, mobile-edge computing (MEC) and …
processing in Internet of Things (IoT). Recently, mobile-edge computing (MEC) and …
Meta-Reinforcement Learning for UAV-Assisted Mobile Edge Computing of Virtual Reality Services
X Liang, J Liu, L Xie - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Virtual reality (VR) services face significant challenges, such as large-volume data
transmission, high computing demands, and extreme latency sensitivity, particularly on …
transmission, high computing demands, and extreme latency sensitivity, particularly on …
Towards intelligent virtual resource allocation in UAVs-assisted 5G networks
H Cao, Y Hu, L Yang - Computer Networks, 2021 - Elsevier
With the aim of providing novel services and applications having high data rate and low
latency, the 5G networks are designed. Thus, it is essential to manage and schedule the …
latency, the 5G networks are designed. Thus, it is essential to manage and schedule the …