QuDASH: Quantum-Inspired Rate Adaptation Approach for DASH Video Streaming-Reference-Cited by-同舟云学术

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QuDASH: Quantum-Inspired Rate Adaptation Approach for DASH Video Streaming

Published:2023 Issue: Volume:11 Page:118462-118473
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wei Bo¹^ORCID,Song Hang²^ORCID,Nakamura Makoto³,Kimura Koichi³,Togawa Nozomu⁴^ORCID,Katto Jiro⁴^ORCID

Affiliation:

1. Department of Systems Innovation, School of Engineering, The University of Tokyo, Tokyo, Japan

2. Department of Transdisciplinary Science and Engineering, School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japan

3. Fujitsu Ltd., Tokyo, Japan

4. Department of Computer Science and Communication Engineering, Waseda University, Tokyo, Japan

Funder

Fujitsu-Waseda Digital Annealer (FWDA) Research Project

the Japan Society for the Promotion of Science (JSPS) KAKENHI

National Institute of Information and Communications Technology

Japan Science and Technology Agency (JST) PRESTO, Japan

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/ielx7/6287639/10005208/10288491.pdf?arnumber=10288491

Reference34 articles.

1. BOLA: Near-optimal bitrate adaptation for online videos

2. A buffer-based approach to rate adaptation

3. Ising machines as hardware solvers of combinatorial optimization problems

4. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP

5. Neural Adaptive Video Streaming with Pensieve

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