Adaptive Video Transmission Strategy Based on Ising Machine

Bo Wei, Hang Song, Jiro Katto

研究成果: Conference contribution

抄録

With the dramatically increasing video streaming in the total network traffic, it is critical to develop effective algorithms to ensure the quality of content delivery service. Adaptive bitrate (ABR) control is the most essential technique which determines the proper bitrate to be chosen based on network conditions, thus realize high-quality video streaming. In this paper, a novel ABR strategy is proposed based on Ising machine by using the quadratic unconstrained binary optimization (QUBO) method and Digital Annealer (DA) for the first time. The proposed method is evaluated by simulation with the real-world measured throughput and compared with other state-of-the-art methods. Experiment results show that the proposed QUBO-based method can outperform the existing methods, which demonstrating the superior of the proposed QUBO-based method.

本文言語English
ホスト出版物のタイトルSenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems
出版社Association for Computing Machinery, Inc
ページ397-398
ページ数2
ISBN(電子版)9781450390972
DOI
出版ステータスPublished - 2021 11月 15
イベント19th ACM Conference on Embedded Networked Sensor Systems, SenSys 2021 - Coimbra, Portugal
継続期間: 2021 11月 152021 11月 17

出版物シリーズ

名前SenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference19th ACM Conference on Embedded Networked Sensor Systems, SenSys 2021
国/地域Portugal
CityCoimbra
Period21/11/1521/11/17

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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