Genetic algorithm based edge computing scheduling strategy

C Su, Y Gang, C Jin - 2021 4th International Conference on Data …, 2021 - dl.acm.org
With the rapid development of Internet and cloud computing, edge computing (EC) as a new
technology has been constantly integrated into people's lives. Users can offload the tasks on …

Distributed-Optimization with Centralized-Refining for Efficient Resource Allocation in Future Wireless Networks

J Bai, X Wang - IEEE Transactions on Communications, 2024 - ieeexplore.ieee.org
Future wireless networks are expected to support diverse Internet of Things (IoT)
applications under dynamic network conditions through effective resource allocation …

Joint Optimization of Multi-User Partial Offloading Strategy and Resource Allocation Strategy in D2D-Enabled MEC

D Yong, R Liu, X Jia, Y Gu - Sensors, 2023 - mdpi.com
With the emergence of more and more computing-intensive and latency-sensitive
applications, insufficient computing power and energy of user devices has become a …

A task offloading strategy based on sequential waiting model in MEC

X Sun, W Li, H Liu, J Fang, Z Wen, C Wen - Multimedia Tools and …, 2023 - Springer
In the field of mobile edge computing (MEC) research, many studies under common
research scenarios focus on the optimization of energy consumption and processing delay …

Energy-Aware and Fair Multi-User Multi-Task Computation Offloading

V Latzko, O Lhamo, M Mehrabi… - 2023 International …, 2023 - ieeexplore.ieee.org
Enabling computation intensive tasks with low latency requirements on mobile devices
considering their battery life time is one of the challenges in 5G networks. 5G is an era with …

Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks

Y Zhang, R Li, Y Zhao, R Li, Y Wang, Z Zhou - Future Generation Computer …, 2023 - Elsevier
Edge computing as a complementary paradigm of cloud computing has gained more
attention by providing mobile users with diversified services at the network edge. However …

Mobility-Aware Task Offloading Scheme for 6G Networks With Temporal Graph and Graph Matching

J Cai, X Zhu, AE Ackah - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
New services such as Extended Reality (XR) and holographic communication in the future
6G era will require a lot of computing power. With the increasing trend of terminal mobility …

Computation Offloading in Resource-constrained Edge Computing Systems based on Deep Reinforcement Learning

C Luo, J Zhang, XL Cheng, Y Hong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge computing is a computational paradigm that brings resources closer to the network
edge, such as base stations or gateways, in order to provide quick and efficient computing …

A mobility aware task offloading scheme for vehicle edge computing

J Tang, X Li, M Jin, Y Lu - 2021 13th International Conference …, 2021 - ieeexplore.ieee.org
The mobility of the vehicle poses new challenges to the unloading decision. In view of this
situation, this paper proposes a unloading scheme of vehicle edge computing (VEC) based …

Computation offloading and task scheduling on network edge

M Li - 2021 - uwspace.uwaterloo.ca
The Fifth-Generation (5G) networks facilitate the evolution of communication systems and
accelerate a revolution in the Information Technology (IT) field. In the 5G era, wireless …