Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services
In recent years, with the continuous release of HTTP adaptive streaming (HAS) video datasets and network trace datasets, the machine learning methods, such as deep learning and reinforcement learning, have been continuously applied to adaptive bit rate (ABR) algorithms, which obtain the optimal stra...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021178/ |
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| _version_ | 1841539316950499328 |
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| author | Li’na DU Li ZHUO Shuo YANG Jiafeng LI Jing ZHANG |
| author_facet | Li’na DU Li ZHUO Shuo YANG Jiafeng LI Jing ZHANG |
| author_sort | Li’na DU |
| collection | DOAJ |
| description | In recent years, with the continuous release of HTTP adaptive streaming (HAS) video datasets and network trace datasets, the machine learning methods, such as deep learning and reinforcement learning, have been continuously applied to adaptive bit rate (ABR) algorithms, which obtain the optimal strategy of rate control through interactive learning, and achieve superior performance that surpasses the traditional heuristic methods.Based on the analysis of the research difficulties of ABR algorithms, the research advances of ABR algorithms based on reinforcement learning (including deep reinforcement learning) was investigated.Furthermore, several representative HAS video datasets and network trace datasets were summarized, the evaluation metrics of the performance were depicted.Finally, the existing problems and the future tendency of ABR research were discussed. |
| format | Article |
| id | doaj-art-e922cbe2d2df44bfbc8c4b73fdb684e3 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e922cbe2d2df44bfbc8c4b73fdb684e32025-01-14T07:22:48ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-09-014220521759744916Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming servicesLi’na DULi ZHUOShuo YANGJiafeng LIJing ZHANGIn recent years, with the continuous release of HTTP adaptive streaming (HAS) video datasets and network trace datasets, the machine learning methods, such as deep learning and reinforcement learning, have been continuously applied to adaptive bit rate (ABR) algorithms, which obtain the optimal strategy of rate control through interactive learning, and achieve superior performance that surpasses the traditional heuristic methods.Based on the analysis of the research difficulties of ABR algorithms, the research advances of ABR algorithms based on reinforcement learning (including deep reinforcement learning) was investigated.Furthermore, several representative HAS video datasets and network trace datasets were summarized, the evaluation metrics of the performance were depicted.Finally, the existing problems and the future tendency of ABR research were discussed.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021178/reinforcement learningABR algorithmQoEdeep learningdeep reinforcement learning |
| spellingShingle | Li’na DU Li ZHUO Shuo YANG Jiafeng LI Jing ZHANG Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services Tongxin xuebao reinforcement learning ABR algorithm QoE deep learning deep reinforcement learning |
| title | Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services |
| title_full | Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services |
| title_fullStr | Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services |
| title_full_unstemmed | Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services |
| title_short | Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services |
| title_sort | survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services |
| topic | reinforcement learning ABR algorithm QoE deep learning deep reinforcement learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021178/ |
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