[HTML][HTML] A multi-layer guided reinforcement learning-based tasks offloading in edge computing

A Robles-Enciso, AF Skarmeta - Computer Networks, 2023 - Elsevier
Abstract The breakthrough in Machine Learning (ML) techniques and the popularity of the
Internet of Things (IoT) has increased interest in applying Artificial Intelligence (AI) …

Energy Efficient Computation Offloading in Aerial Edge Networks With Multi-Agent Cooperation

W Liu, B Li, W Xie, Y Dai, Z Fei - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
With the high flexibility of supporting resource-intensive and time-sensitive applications,
unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an …

DTN assisted Dynamic Cooperative Slicing for Delay-sensitive Service in MEC-enabled IoT via Deep Deterministic Policy Gradient with Variable Action

L Li, L Tang, Q Liu, Y Wang, X He… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Network Slicing (NS) provides customized services to users of the Internet of Things (IoT) by
creating logical virtual networks, and NS combined with Multi-access Edge Computing …

DRL-assisted resource allocation for NOMA-MEC offloading with hybrid SIC

H Li, F Fang, Z Ding - Entropy, 2021 - mdpi.com
Multi-access edge computing (MEC) and non-orthogonal multiple access (NOMA) are
regarded as promising technologies to improve the computation capability and offloading …

Energy-Efficient Task Transfer in Wireless Computing Power Networks

Y Lu, B Ai, Z Zhong, Y Zhang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Sixth Generation (6G) wireless communication aims to enable ubiquitous intelligent
connectivity in future Space-Air-Ground-Ocean integrated networks, with extremely low …

Time or Reward: Digital-twin Enabled Personalized Vehicle Path Planning

Y Hui, Q Wang, N Cheng, R Chen… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Efficient path planning is the key enabling technology for the realization of intelligent
transportation systems (ITS). However, due to poor real-time performance and lack of …

Digital Twins From a Networking Perspective

M Vaezi, K Noroozi, TD Todd, D Zhao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Digital twin (DT) has attracted a lot of attention from both industry and academia since it was
proposed over a decade ago. A DT can be viewed as a virtual implementation of a real …

Five Disruptive Technologies in 6G to Support Digital Twin Networks

Q Guo, F Tang, TK Rodrigues… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
With the expected explosive growth of the number of mobile user devices and data traffic in
the next decade and beyond, and the expected development of various new applications …

Digital Twin-Aided Orchestration of Mobile Edge Computing With Grant-Free Access

NA Mitsiou, VK Papanikolaou… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Digital twin-aided (DT) edge computing is investigated, where users utilize grant-free
random access with adaptive rate to offload their tasks to the edge server. A novel, with …

Joint mobility control and MEC offloading for hybrid satellite-terrestrial-network-enabled robots

P Wei, W Feng, Y Wang, Y Chen, N Ge… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Benefiting from the fusion of communication and intelligent technologies, network-enabled
robots have become important to support future machine-assisted and unmanned …