User Plane Function (UPF) Allocation for C-V2X Network Using Deep Reinforcement Learning

User Plane Function (UPF) Allocation for C-V2X Network Using Deep Reinforcement Learning

In this paper, we proposed an online learning method for predicting an allocation of User Plane Function (UPF) in Cellular Vehicle-to-Everything (C-V2X) networks integrated with Multi-Access Edge Computing (MEC). Our study employed Deep Reinforcement Learning (DRL) techniques, specifically Deep Q-Ne...

Full description

Saved in:
Bibliographic Details
Main Authors: Pruk Sasithong, Tachporn Sanguanpuak, Pisit Vanichchanunt, Lunchakorn Wuttisittikulkij
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
5G network
cellular vehicle-to-everything (C-V2X)
deep reinforcement learning (DRL)
multi-access edge computing (MEC)
Online Access:https://ieeexplore.ieee.org/document/10819391/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10819391/

Similar Items