QoE-Aware Playback Buffer Level Control Strategy for Adaptive Video Streaming Using MPEG-DASH

Adaptive video streaming using Moving Picture Experts Group dynamic adaptive streaming over Hypertext Transfer Protocol (MPEG-DASH) enables adaptive bitrate (ABR) control based on network conditions. Network conditions can be estimated based on the network throughput or playback buffer level. However, the conventional proportional-derivative (PD)-based ABR algorithm that considers both network throughput and playback buffer level can degrade the quality of experience (QoE) when the available bandwidth of each user fluctuates. This study proposes an ABR algorithm that combines multiple bitrate selection methods using PD control and buffer-based throughput estimation, considering buffer-level fluctuations to achieve a stable bitrate and buffer-level control. Simulations confirm that the proposed algorithm improves QoE under multi-user and throughput-varying conditions and does not negatively impact another ABR algorithm in a heterogeneous environment.

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Publication Details

Journal
IEICE Communications Express
Published
2025-05-15
DOI
https://doi.org/10.23919/comex.2025xbl0035
Citations
2
Primary Topic
Video Coding and Compression Technologies
Type
article
Field-Weighted Citation Impact
2.97
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article

QoE-Aware Playback Buffer Level Control Strategy for Adaptive Video Streaming Using MPEG-DASH

Ryogo Kubo, Hiroki Kamihira
2 citations
IEICE Communications Express
Video Coding and Compression Technologies
2.97
article

QoE-Aware Playback Buffer Level Control Strategy for Adaptive Video Streaming Using MPEG-DASH

Ryogo Kubo, Hiroki Kamihira
article en
2 citations

Abstract

Adaptive video streaming using Moving Picture Experts Group dynamic adaptive streaming over Hypertext Transfer Protocol (MPEG-DASH) enables adaptive bitrate (ABR) control based on network conditions. Network conditions can be estimated based on the network throughput or playback buffer level. However, the conventional proportional-derivative (PD)-based ABR algorithm that considers both network throughput and playback buffer level can degrade the quality of experience (QoE) when the available bandwidth of each user fluctuates. This study proposes an ABR algorithm that combines multiple bitrate selection methods using PD control and buffer-based throughput estimation, considering buffer-level fluctuations to achieve a stable bitrate and buffer-level control. Simulations confirm that the proposed algorithm improves QoE under multi-user and throughput-varying conditions and does not negatively impact another ABR algorithm in a heterogeneous environment.

IEICE Communications ExpressVol. 14(7)
Keio University (JP)
Affordable and clean energy
Openalex Percentile: Top 10%
Video Coding and Compression Technologies
2.97
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