AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook

B Clerckx, Y Mao, Z Yang, M Chen, A Alkhateeb… - arXiv preprint arXiv …, 2024 - arxiv.org
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …

Task offloading and resource allocation in vehicular networks: A Lyapunov-based deep reinforcement learning approach

AS Kumar, L Zhao, X Fernando - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …

DRL-FORCH: A Scalable Deep Reinforcement Learning-based Fog Computing Orchestrator

N Di Cicco, GF Pittalà, G Davoli… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
We consider the problem of designing and training a neural network-based orchestrator for
fog computing service deployment. Our goal is to train an orchestrator able to optimize …

Towards Efficient Task Offloading with Dependency Guarantees in Vehicular Edge Networks through Distributed Deep Reinforcement Learning

H Liu, W Huang, DI Kim, S Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The proliferation of computation-intensive and delay-sensitive applications in the Internet of
Vehicles (IoV) poses great challenges to resource-constrained vehicles. To tackle this issue …

Intelligent Data-Enabled Task Offloading for Vehicular Fog Computing

AS Alfakeeh, MA Javed - Applied Sciences, 2023 - mdpi.com
Fog computing is a key component of future intelligent transportation systems (ITSs) that can
support the high computation and large storage requirements needed for autonomous …

EALSO: joint energy-aware and latency-sensitive task offloading for artificial Intelligence of Things in vehicular fog computing

C Liang, Y Zhao, Z Gao, K Cheng, B Wang, L Huang - Wireless Networks, 2024 - Springer
Abstract Artificial Intelligence of Things (AIoT) is an emerging field within the Internet of
Things (IoT) that caters to the growing demand for intelligent computing and …

Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning

M Ebrahim, A Hafid - arXiv preprint arXiv:2405.12236, 2024 - arxiv.org
Real-time Internet of Things (IoT) applications require real-time support to handle the ever-
growing demand for computing resources to process IoT workloads. Fog Computing …

Quality-Aware Task Offloading for Cooperative Perception in Vehicular Edge Computing

AM Zaki, SA Elsayed, K Elgazzar… - arXiv preprint arXiv …, 2024 - arxiv.org
Task offloading in Vehicular Edge Computing (VEC) can advance cooperative perception
(CP) to improve traffic awareness in Autonomous Vehicles. In this paper, we propose the …

Multi‐layer task scheduling and resource allocation schemes considering idle resource and task priority in IoT networks

S Wang, W Guo, H Sun, J Ren, M Yan… - IET …, 2023 - Wiley Online Library
With more and more interconnected smart devices (ISDs) accessing the Internet of Things
(IoT), massive and diverse tasks need to be transformed and computed. Mobile edge …