Quality Enhanced Multimedia Content Delivery for Mobile Cloud with Deep Reinforcement Learning Article Swipe
Muhammad Saleem
,
Yasir Saleem
,
Hafiz M. Asif
,
M. Saleem Mian
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1155/2019/5038758
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1155/2019/5038758
The importance of multimedia streaming using mobile devices has increased considerably. The dynamic adaptive streaming over HTTP is an efficient scheme for bitrate adaptation in which video is segmented and stored in different quality levels. The multimedia streaming with limited bandwidth and varying network environment for mobile users affects the user quality of experience. We have proposed an adaptive rate control using enhanced Double Deep Q-Learning approach to improve multimedia content delivery by switching quality level according to the network, device, and environment conditions. The proposed algorithm is thoroughly evaluated against state-of-the-art heuristic and learning-based algorithms. The performance metrics such as PSNR, SSIM, quality of experience, rebuffering frequency, and quality variations are evaluated. The results are obtained using real network traces which shows that the proposed algorithm outperforms the other schemes in all considered quality metrics. The proposed algorithm provides faster convergence to the optimal solution as compared to other algorithms considered in our work.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2019/5038758
- https://downloads.hindawi.com/journals/wcmc/2019/5038758.pdf
- OA Status
- hybrid
- Cited By
- 2
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2960369171
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2960369171Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2019/5038758Digital Object Identifier
- Title
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Quality Enhanced Multimedia Content Delivery for Mobile Cloud with Deep Reinforcement LearningWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-07-18Full publication date if available
- Authors
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Muhammad Saleem, Yasir Saleem, Hafiz M. Asif, M. Saleem MianList of authors in order
- Landing page
-
https://doi.org/10.1155/2019/5038758Publisher landing page
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https://downloads.hindawi.com/journals/wcmc/2019/5038758.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/wcmc/2019/5038758.pdfDirect OA link when available
- Concepts
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Computer science, Reinforcement learning, Multimedia, Cloud computing, Quality of experience, Bandwidth (computing), Video quality, Real-time computing, Adaptation (eye), Computer network, Artificial intelligence, Quality of service, Physics, Economics, Operating system, Optics, Operations management, Metric (unit)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
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2023: 1, 2020: 1Per-year citation counts (last 5 years)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2129021586, https://openalex.org/W2903350495, https://openalex.org/W2602023803, https://openalex.org/W1998431331, https://openalex.org/W4240117034, https://openalex.org/W2175325787, https://openalex.org/W2086001538, https://openalex.org/W1974133309, https://openalex.org/W1969226481, https://openalex.org/W1974561310, https://openalex.org/W2133665775, https://openalex.org/W2164877578, https://openalex.org/W2759880155, https://openalex.org/W2145339207, https://openalex.org/W2171785076, https://openalex.org/W2800873232 |
| referenced_works_count | 16 |
| abstract_inverted_index.We | 54 |
| abstract_inverted_index.an | 18, 57 |
| abstract_inverted_index.as | 100, 146 |
| abstract_inverted_index.by | 72 |
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| abstract_inverted_index.and | 29, 41, 81, 93, 108 |
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| abstract_inverted_index.Deep | 64 |
| abstract_inverted_index.HTTP | 16 |
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| abstract_inverted_index.device, | 80 |
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| abstract_inverted_index.limited | 39 |
| abstract_inverted_index.metrics | 98 |
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| abstract_inverted_index.metrics. | 135 |
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| corresponding_author_ids | https://openalex.org/A5101851973 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I142732210 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.43482746 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |