Learning-Based Resource Management Optimization for UAV-Assisted MEC Against Jamming
In recent years, jointly optimizing unmanned aerial vehicle (UAV) hover point selection and
resource management for UAV-assisted mobile edge computing (MEC) is a hot research …
resource management for UAV-assisted mobile edge computing (MEC) is a hot research …
Energy and Latency-Aware Resource Management for UAV-Assisted Mobile Edge Computing Against Jamming
Unmanned aerial vehicles (UAVs) have been increasingly employed as aerial servers in
mobile edge computing (MEC) systems, providing essential computing, communication, and …
mobile edge computing (MEC) systems, providing essential computing, communication, and …
DDQN-Based Trajectory and Resource Optimization for UAV-Aided MEC Secure Communications
Y Ding, H Han, W Lu, Y Wang, N Zhao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been emerged as cost-effective platforms to extend
the coverage of mobile edge computing (MEC) system. However, the broadcast and line-of …
the coverage of mobile edge computing (MEC) system. However, the broadcast and line-of …
Robust Trajectory and Task Allocation in Secure UAV-Assisted MEC System with Cooperative Jamming
H Hu, S Hao, Q Wang, C Zhu, F Peng… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
The combination of Unmanned aerial vehicles (UAVs) and mobile edge computing (MEC)
can efficiently alleviate the computing burden caused by enormous data flow in the context …
can efficiently alleviate the computing burden caused by enormous data flow in the context …
Resource optimization for UAV-assisted mobile edge computing system based on deep reinforcement learning
Computational efficiency is a direction worth considering in moving edge computing (MEC)
systems. However, the computational efficiency of UAV-assisted MEC systems is rarely …
systems. However, the computational efficiency of UAV-assisted MEC systems is rarely …
Deep reinforcement learning enabled UAV-IRS-assisted secure mobile edge computing network
Y Zhang, J Li, G Mu, X Chen - Physical Communication, 2023 - Elsevier
The deployment of intelligent reflecting surfaces (IRS) on dynamically moving unmanned
aerial vehicles (UAVs) can enhance the communication performance of mobile edge …
aerial vehicles (UAVs) can enhance the communication performance of mobile edge …
Intelligent ubiquitous computing for future UAV-enabled MEC network systems
In this paper, we investigate intelligent ubiquitous computing for future unmanned aerial
vehicle (UAV)-enabled mobile edge computing network (MEC) systems, where multiple …
vehicle (UAV)-enabled mobile edge computing network (MEC) systems, where multiple …
Online edge learning offloading and resource management for UAV-assisted MEC secure communications
Y Ding, Y Feng, W Lu, S Zheng, N Zhao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The mobile and flexible unmanned aerial vehicle (UAV) with mobile edge computing (MEC)
can effectively relieve the computing pressure of the massive data traffic in 5G Internet of …
can effectively relieve the computing pressure of the massive data traffic in 5G Internet of …
HAMEC-RSMA: Enhanced aerial computing systems with rate splitting multiple access
Aerial networks have been widely considered a crucial component for ubiquitous coverage
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …
Optimizing UAV computation offloading via MEC with deep deterministic policy gradient
AB Abbasi, MU Hadi - Transactions on Emerging …, 2024 - Wiley Online Library
Mobile edge computing (MEC) seems to be highly efficient to process the generated data
from IoT devices by providing computational resources locating in close range to network …
from IoT devices by providing computational resources locating in close range to network …