QoE-Aware Stable Adaptive Video Streaming Using Proportional-Derivative Controller for MPEG-DASH

Ryuta SAKAMOTO; Takahiro SHOBUDANI; Ryosuke HOTCHI; Ryogo KUBO

doi:10.1587/transcom.2020EBP3038

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QoE-Aware Stable Adaptive Video Streaming Using Proportional-Derivative Controller for MPEG-DASH

Ryuta SAKAMOTO, Takahiro SHOBUDANI, Ryosuke HOTCHI, Ryogo KUBO

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Summary :

In video distribution services such as video streaming, the providers must satisfy the various quality demands of the users. One of the human-centric indexes used to assess video quality is the quality of experience (QoE). In video streaming, the video bitrate, video freezing time, and video bitrate switching are significant determiners of QoE. To provide high-quality video streaming services, adaptive streaming using the Moving Picture Experts Group dynamic adaptive streaming over Hypertext Transfer Protocol (MPEG-DASH) is widely utilized. One of the conventional bitrate selection methods for MPEG-DASH selects the bitrate such that the amount of buffered data in the playback buffer, i.e., the playback buffer level, can be maintained at a constant value. This method can avoid buffer overflow and video freezing based on feedback control; however, this method induces high-frequency video bitrate switching, which can degrade QoE. To overcome this issue, this paper proposes a bitrate selection method in an adaptive video steaming for MPEG-DASH to improve the QoE by minimizing the bitrate fluctuation. To this end, the proposed method does not change the bitrate if the playback buffer level is not around its upper or lower limit, corresponding to the full or empty state of the playback buffer, respectively. In particular, to avoid buffer overflow and video freezing, the proposed method selects the bitrate based on proportional-derivative (PD) control to maintain the playback buffer level at a target level, which corresponds to an upper or lower threshold of the playback buffer level. Simulations confirm that, the proposed method offers better QoE than the conventional method for users with various preferences.

Publication: IEICE TRANSACTIONS on Communications Vol.E104-B No.3 pp.286-294

Publication Date: 2021/03/01

Publicized: 2020/09/24

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2020EBP3038

Type of Manuscript: PAPER

Category: Network

Authors

Ryuta SAKAMOTO
  Keio University
Takahiro SHOBUDANI
  Keio University
Ryosuke HOTCHI
  Keio University
Ryogo KUBO
  Keio University

Keyword

MPEG-DASH, QoE, adaptive streaming, feedback control

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Ryuta SAKAMOTO, Takahiro SHOBUDANI, Ryosuke HOTCHI, Ryogo KUBO, "QoE-Aware Stable Adaptive Video Streaming Using Proportional-Derivative Controller for MPEG-DASH" in IEICE TRANSACTIONS on Communications, vol. E104-B, no. 3, pp. 286-294, March 2021, doi: 10.1587/transcom.2020EBP3038.
Abstract: In video distribution services such as video streaming, the providers must satisfy the various quality demands of the users. One of the human-centric indexes used to assess video quality is the quality of experience (QoE). In video streaming, the video bitrate, video freezing time, and video bitrate switching are significant determiners of QoE. To provide high-quality video streaming services, adaptive streaming using the Moving Picture Experts Group dynamic adaptive streaming over Hypertext Transfer Protocol (MPEG-DASH) is widely utilized. One of the conventional bitrate selection methods for MPEG-DASH selects the bitrate such that the amount of buffered data in the playback buffer, i.e., the playback buffer level, can be maintained at a constant value. This method can avoid buffer overflow and video freezing based on feedback control; however, this method induces high-frequency video bitrate switching, which can degrade QoE. To overcome this issue, this paper proposes a bitrate selection method in an adaptive video steaming for MPEG-DASH to improve the QoE by minimizing the bitrate fluctuation. To this end, the proposed method does not change the bitrate if the playback buffer level is not around its upper or lower limit, corresponding to the full or empty state of the playback buffer, respectively. In particular, to avoid buffer overflow and video freezing, the proposed method selects the bitrate based on proportional-derivative (PD) control to maintain the playback buffer level at a target level, which corresponds to an upper or lower threshold of the playback buffer level. Simulations confirm that, the proposed method offers better QoE than the conventional method for users with various preferences.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3038/_p

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@ARTICLE{e104-b_3_286,
author={Ryuta SAKAMOTO, Takahiro SHOBUDANI, Ryosuke HOTCHI, Ryogo KUBO, },
journal={IEICE TRANSACTIONS on Communications},
title={QoE-Aware Stable Adaptive Video Streaming Using Proportional-Derivative Controller for MPEG-DASH},
year={2021},
volume={E104-B},
number={3},
pages={286-294},
abstract={In video distribution services such as video streaming, the providers must satisfy the various quality demands of the users. One of the human-centric indexes used to assess video quality is the quality of experience (QoE). In video streaming, the video bitrate, video freezing time, and video bitrate switching are significant determiners of QoE. To provide high-quality video streaming services, adaptive streaming using the Moving Picture Experts Group dynamic adaptive streaming over Hypertext Transfer Protocol (MPEG-DASH) is widely utilized. One of the conventional bitrate selection methods for MPEG-DASH selects the bitrate such that the amount of buffered data in the playback buffer, i.e., the playback buffer level, can be maintained at a constant value. This method can avoid buffer overflow and video freezing based on feedback control; however, this method induces high-frequency video bitrate switching, which can degrade QoE. To overcome this issue, this paper proposes a bitrate selection method in an adaptive video steaming for MPEG-DASH to improve the QoE by minimizing the bitrate fluctuation. To this end, the proposed method does not change the bitrate if the playback buffer level is not around its upper or lower limit, corresponding to the full or empty state of the playback buffer, respectively. In particular, to avoid buffer overflow and video freezing, the proposed method selects the bitrate based on proportional-derivative (PD) control to maintain the playback buffer level at a target level, which corresponds to an upper or lower threshold of the playback buffer level. Simulations confirm that, the proposed method offers better QoE than the conventional method for users with various preferences.},
keywords={},
doi={10.1587/transcom.2020EBP3038},
ISSN={1745-1345},
month={March},}

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TY - JOUR
TI - QoE-Aware Stable Adaptive Video Streaming Using Proportional-Derivative Controller for MPEG-DASH
T2 - IEICE TRANSACTIONS on Communications
SP - 286
EP - 294
AU - Ryuta SAKAMOTO
AU - Takahiro SHOBUDANI
AU - Ryosuke HOTCHI
AU - Ryogo KUBO
PY - 2021
DO - 10.1587/transcom.2020EBP3038
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2021
AB - In video distribution services such as video streaming, the providers must satisfy the various quality demands of the users. One of the human-centric indexes used to assess video quality is the quality of experience (QoE). In video streaming, the video bitrate, video freezing time, and video bitrate switching are significant determiners of QoE. To provide high-quality video streaming services, adaptive streaming using the Moving Picture Experts Group dynamic adaptive streaming over Hypertext Transfer Protocol (MPEG-DASH) is widely utilized. One of the conventional bitrate selection methods for MPEG-DASH selects the bitrate such that the amount of buffered data in the playback buffer, i.e., the playback buffer level, can be maintained at a constant value. This method can avoid buffer overflow and video freezing based on feedback control; however, this method induces high-frequency video bitrate switching, which can degrade QoE. To overcome this issue, this paper proposes a bitrate selection method in an adaptive video steaming for MPEG-DASH to improve the QoE by minimizing the bitrate fluctuation. To this end, the proposed method does not change the bitrate if the playback buffer level is not around its upper or lower limit, corresponding to the full or empty state of the playback buffer, respectively. In particular, to avoid buffer overflow and video freezing, the proposed method selects the bitrate based on proportional-derivative (PD) control to maintain the playback buffer level at a target level, which corresponds to an upper or lower threshold of the playback buffer level. Simulations confirm that, the proposed method offers better QoE than the conventional method for users with various preferences.
ER -