User association and resource allocation for MEC-enabled IoT networks

Y Sun, J Xu, S Cui - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper studies a mobile edge computing (MEC) network to support emerging
applications for Internet-of-things, where multiple access points, each attached with an MEC …

Multi-agent-deep-reinforcement-learning-enabled offloading scheme for energy minimization in vehicle-to-everything communication systems

W Duan, X Li, Y Huang, H Cao, X Zhang - Electronics, 2024 - mdpi.com
Offloading computation-intensive tasks to mobile edge computing (MEC) servers, such as
road-side units (RSUs) and a base station (BS), can enhance the computation capacities of …

Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access

Y Wu, X Zhang, J Ren, Y Shen, B Yang, S Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have
shown notable improvements in efficiency, such as reduced latency, higher data rates, and …

Big Data Oriented Multi-Objective SFC Placement in Dynamic MEC: A Distributed DRL Approach

H Xing, Y Pu, X Wang, F Song, Z Xiao… - ICC 2024-IEEE …, 2024 - ieeexplore.ieee.org
Network function virtualization (NFV) enables the provision of different quality of service
(QoS) levels through service function chains (SFCs), where NFV outsources big data tasks …