Adaptive Bitrate Algorithms via Deep Reinforcement Learning With Digital Twins Assisted Trajectory-Reference-Cited by-同舟云学术

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Adaptive Bitrate Algorithms via Deep Reinforcement Learning With Digital Twins Assisted Trajectory

Published:2024-07 Issue:4 Volume:11 Page:3522-3535
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Ye Jin¹^ORCID,Qin Shaowen¹^ORCID,Xiao Qingyu²^ORCID,Jiang Wenchao³^ORCID,Tang Xin⁴^ORCID,Li Xiaohuan⁴^ORCID

Affiliation:

1. Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning, China

2. vivo Mobile Communication Company, Ltd., Dongguan, China

3. Pillar of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore

4. School of Information and Communication, Guilin University of Electronic Technology, Guilin, China

Funder

National Natural Science Foundation of China

Ministry of Education - Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488902/10554364/10483538.pdf?arnumber=10483538

Reference50 articles.

1. Global Internet phenomena report,2022

2. Understanding the impact of video quality on user engagement

3. Video stream quality impacts viewer behavior

4. A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP

5. Traffic-Aware Rate Adaptation for Improving Time-Varying QoE Factors in Mobile Video Streaming

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