Profit-Aware Cooperative Offloading in UAV-Enabled MEC Systems Using Lightweight Deep Reinforcement Learning

Z Chen, J Zhang, X Zheng, G Min, J Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In Mobile Edge Computing (MEC) systems, Unmanned Aerial Vehicles (UAVs) facilitate
Edge Service Providers (ESPs) offering flexible resource provisioning with broader …

Swin transformer-based dynamic semantic communication for multi-user with different computing capacity

LX Nguyen, YL Tun, YK Tun… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Semantic communication has gained significant attention from researchers as a promising
technique to replace conventional communication in the next generation of communication …

Low-complexity and efficient dependent subtask offloading strategy in IoT integrated with multi-access edge computing

H Wang, W Li, J Sun, L Zhao, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has been booming in recent years, as it promises to
fulfill the growing low-latency requirements of applications on large amounts of Internet of …

Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems

X Wang, Y Zhao, C Qiu, Q Hu, V Leung - arXiv preprint arXiv:2404.13348, 2024 - arxiv.org
Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …

Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV Enabled Aerial Edge Computing: A Multi-Objective Optimization Approach

X Huang, C Peng, Y Wu, J Kang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
To provide a dependency-aware application, multiple unmanned aerial vehicles (UAVs) are
employed to serve a ground user with a set of interdependent tasks. This leads to a new …

Service Experience Oriented Cooperative Computing in Cache-Enabled UAVs Assisted MEC Networks

X Gao, L Zhai - IEEE Transactions on Mobile Computing, 2024 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV)-enabled multi-access edge computing (MEC)
technology is opening up new opportunities in the integrated space-air-ground in the 5 G …

Energy and Cost-Aware Offloading of Dependent Tasks With Edge-Cloud Collaboration for Human Digital Twin

Q Zhang, Y Yang, C Yi, SD Okegbile… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Due to the potential of revolutionizing a variety of human-centric services, human digital twin
(HDT) is envisioned to become an important part of our daily life. The HDT applications need …

Multi-Task Computation Offloading Based On Evolutionary Multi-Objective Optimization in Industrial Internet of Things

ZY Chai, YJ Zhao, YL Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
The development of Industrial Internet of Things (IIoT) has completely changed traditional
manufacturing industry. Industrial equipments with limited resources often cannot meet the …

Multi-agent deep reinforcement learning for trajectory planning in UAVs-assisted mobile edge computing with heterogeneous requirements

C Fan, H Xu, Q Wang - Computer Networks, 2024 - Elsevier
In heterogeneous wireless networks, massive user equipments (UEs) generate computing
tasks with time-varying heterogeneous requirements. To improve the service quality, this …

MADDPG-Based Offloading Strategy for Timing-Dependent Tasks in Edge Computing

Y Wang, Z Huang, Z Wei, J Zhao - Future Internet, 2024 - mdpi.com
With the increasing popularity of the Internet of Things (IoT), the proliferation of computation-
intensive and timing-dependent applications has brought serious load pressure on …