Computation offloading in mobile edge computing networks: A survey

C Feng, P Han, X Zhang, B Yang, Y Liu… - Journal of Network and …, 2022 - Elsevier
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …

Cooperative task offloading and service caching for digital twin edge networks: A graph attention multi-agent reinforcement learning approach

Z Yao, S **a, Y Li, G Wu - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …

Profit maximization for cache-enabled vehicular mobile edge computing networks

W Zhou, J **a, F Zhou, L Fan, X Lei… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we investigate a multiuser cache-enabled vehicular mobile edge computing
(MEC) network, where one edge server (ES) has some caching and computing capabilities …

Future internet architectures on an emerging scale—a systematic review

SA Mohammed, AL Ralescu - Future Internet, 2023 - mdpi.com
Future Internet is a general term that is used to refer to the study of new Internet architectures
that emphasize the advancements that are paving the way for the next generation of internet …

CoOR: Collaborative task offloading and service caching replacement for vehicular edge computing networks

Z Li, C Yang, X Huang, WL Zeng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In vehicular edge computing networks, edge service caching has emerged as a promising
technology that supports delay sensitive applications. When the vehicles pass the coverage …

Deep reinforcement learning driven UAV-assisted edge computing

L Zhang, B Jabbari, N Ansari - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are playing a critical role in provisioning instant
connectivity and computational needs of Internet of Things Devices (IoTDs), especially in …

Customer centric service caching for intelligent cyber–physical transportation systems with cloud–edge computing leveraging digital twins

H Yan, X Xu, M Bilal, X **a, W Dou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide various high-quality intelligent transportation services to customers, Intelligent
Cyber-Physical Transportation Systems (ICTS) with cloud-edge computing are widely …

Lyapunov-guided deep reinforcement learning for service caching and task offloading in mobile edge computing

N Li, L Zhai, Z Ma, X Zhu, Y Li - Computer Networks, 2024 - Elsevier
With the development of Internet of Things (IoT) networks and Mobile Edge Computing
(MEC), many computing-intensive applications have been developed in large quantities …

Task computation offloading for multi-access edge computing via attention communication deep reinforcement learning

K Li, X Wang, Q He, M Yang, M Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates how to enhance the Multi-access Edge Computing (MEC) systems
performance with the aid of device-to-device (D2D) communication computation offloading …

A Stackelberg Game Based Framework for Edge Pricing and Resource Allocation in Mobile Edge Computing

S Cheng, T Ren, H Zhang, J Huang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Nowadays, mobile edge computing (MEC) appears as a new computing paradigm with its
ability to utilize the computing power of both local devices and edge servers. In MEC, edge …