A Deep Reinforcement Learning-Based Optimal Computation Offloading Scheme for VR Video Transmission in Mobile Edge Networks-Reference-Cited by-同舟云学术

A Deep Reinforcement Learning-Based Optimal Computation Offloading Scheme for VR Video Transmission in Mobile Edge Networks

Published:2023 Issue: Volume:11 Page:122772-122781
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Xiangyang¹^ORCID,Song Yu²

Affiliation:

1. Department of Cybersecurity, Henan Police College, Zhengzhou, China

2. School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China

Funder

Henan Province Science and Technology Research Project “Research on Collaborative Innovation and the Construction of High Quality Online Teaching System in Digital Campus.”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10296911.pdf?arnumber=10296911

Reference36 articles.

1. Autonomous Behavioral Decision for Vehicular Agents Based on Cyber-Physical Social Intelligence

2. Low Latency Streaming for Path-Walking VR Systems

3. Rendered Tile Reuse Scheme Based on FoV Prediction for MEC-Assisted Wireless VR Service

4. LiveDeep: Online Viewport Prediction for Live Virtual Reality Streaming Using Lifelong Deep Learning

5. Ebublio: Edge Assisted Multi-user 360-Degree Video Streaming

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