ARMC-RL: Adaptive Caching With Reinforcement Learning for Efficient 360° Video Streaming in Edge Networks

ARMC-RL: Adaptive Caching With Reinforcement Learning for Efficient 360° Video Streaming in Edge Networks

The growing demand for high-capacity content such as 3D and 360° videos highlights the need for efficient data delivery in B5G/6G networks. Multi-access edge computing (MEC) has emerged as a promising solution, but its limited memory capacity makes cache replacement strategies essential....

Full description

Saved in:
Bibliographic Details
Main Authors: Minji Choi, Somin Park, Jin-Hyun Ahn, Dong Ho Kim, Cheolwoo You
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Muli-access edge computing
caching algorithm
360° video streaming
quality of experience
video tiling
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/11006734/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11006734/

Similar Items