Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation
<p dir="ltr">During wireless video transmission, channel conditions can vary drastically. When the channel fails to support the transmission bit rate, the video quality degrades sharply. A pseudo-analog transmission system such as SoftCast relies on linear operations to achieve a lin...
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| مؤلفون آخرون: | , , , |
| منشور في: |
2022
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| _version_ | 1864513506517188608 |
|---|---|
| author | Saqr Khalil Saeed Thabet (19517560) |
| author2 | Emmanuel Osei-Mensah (19517563) Omar Ahmed (530933) Abegaz Mohammed Seid (19170901) Olusola Bamisile (11546969) |
| author2_role | author author author author |
| author_facet | Saqr Khalil Saeed Thabet (19517560) Emmanuel Osei-Mensah (19517563) Omar Ahmed (530933) Abegaz Mohammed Seid (19170901) Olusola Bamisile (11546969) |
| author_role | author |
| dc.creator.none.fl_str_mv | Saqr Khalil Saeed Thabet (19517560) Emmanuel Osei-Mensah (19517563) Omar Ahmed (530933) Abegaz Mohammed Seid (19170901) Olusola Bamisile (11546969) |
| dc.date.none.fl_str_mv | 2022-05-17T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/app12105047 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Resource_Optimization_for_3D_Video_SoftCast_with_Joint_Texture_Depth_Power_Allocation/26889355 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Communications engineering multi-view video plus depth power allocation ratio resource allocation SoftCast |
| dc.title.none.fl_str_mv | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">During wireless video transmission, channel conditions can vary drastically. When the channel fails to support the transmission bit rate, the video quality degrades sharply. A pseudo-analog transmission system such as SoftCast relies on linear operations to achieve a linear quality transition over a wide range of channel conditions. When transmitting 3D videos over SoftCast, the following issues arise: (1) assigning the transmission power to texture and depth maps to obtain the optimal overall quality and (2) handling 3D video data traffic by dropping and re-allocating resources. This paper solves the pseudo-analog transmission resource allocation problem and improves the results by applying the optimal joint power allocation. First, the minimum and the target distortion optimization problems are formulated in terms of a power–bandwidth pair versus distortion. Then, a minimum distortion optimization algorithm iteratively computes all the possible resource allocations to find the optimal allocation based on the minimum distortion. Next, the three-dimensional target distortion problem is divided into two subproblems. In the power-distortion problem, to obtain a target distortion, the algorithm exhaustively solves the closed form of the power resource under a predefined upper-bound bandwidth. For the bandwidth-distortion problem, reaching a target distortion requires solving iteratively for the bandwidth resource closed form, given a predefined power. The proposed resource control scheme shows an improvement in transmission efficiency and resource utilization. At low power usage, the proposed method could achieve a PSNR gain of up to 1.5 dB over SoftCast and even a 1.789 dB gain over a distortion-resource algorithm, using less than 1.4% of the bandwidth.</p><h2>Other Information</h2><p dir="ltr">Published in: Applied Sciences<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/app12105047" target="_blank">https://dx.doi.org/10.3390/app12105047</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_5e8432be6bd1aee7ca9fb1bba6afa0e8 |
| identifier_str_mv | 10.3390/app12105047 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26889355 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power AllocationSaqr Khalil Saeed Thabet (19517560)Emmanuel Osei-Mensah (19517563)Omar Ahmed (530933)Abegaz Mohammed Seid (19170901)Olusola Bamisile (11546969)EngineeringCommunications engineeringmulti-view video plus depthpower allocation ratioresource allocationSoftCast<p dir="ltr">During wireless video transmission, channel conditions can vary drastically. When the channel fails to support the transmission bit rate, the video quality degrades sharply. A pseudo-analog transmission system such as SoftCast relies on linear operations to achieve a linear quality transition over a wide range of channel conditions. When transmitting 3D videos over SoftCast, the following issues arise: (1) assigning the transmission power to texture and depth maps to obtain the optimal overall quality and (2) handling 3D video data traffic by dropping and re-allocating resources. This paper solves the pseudo-analog transmission resource allocation problem and improves the results by applying the optimal joint power allocation. First, the minimum and the target distortion optimization problems are formulated in terms of a power–bandwidth pair versus distortion. Then, a minimum distortion optimization algorithm iteratively computes all the possible resource allocations to find the optimal allocation based on the minimum distortion. Next, the three-dimensional target distortion problem is divided into two subproblems. In the power-distortion problem, to obtain a target distortion, the algorithm exhaustively solves the closed form of the power resource under a predefined upper-bound bandwidth. For the bandwidth-distortion problem, reaching a target distortion requires solving iteratively for the bandwidth resource closed form, given a predefined power. The proposed resource control scheme shows an improvement in transmission efficiency and resource utilization. At low power usage, the proposed method could achieve a PSNR gain of up to 1.5 dB over SoftCast and even a 1.789 dB gain over a distortion-resource algorithm, using less than 1.4% of the bandwidth.</p><h2>Other Information</h2><p dir="ltr">Published in: Applied Sciences<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/app12105047" target="_blank">https://dx.doi.org/10.3390/app12105047</a></p>2022-05-17T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/app12105047https://figshare.com/articles/journal_contribution/Resource_Optimization_for_3D_Video_SoftCast_with_Joint_Texture_Depth_Power_Allocation/26889355CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268893552022-05-17T09:00:00Z |
| spellingShingle | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation Saqr Khalil Saeed Thabet (19517560) Engineering Communications engineering multi-view video plus depth power allocation ratio resource allocation SoftCast |
| status_str | publishedVersion |
| title | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation |
| title_full | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation |
| title_fullStr | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation |
| title_full_unstemmed | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation |
| title_short | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation |
| title_sort | Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation |
| topic | Engineering Communications engineering multi-view video plus depth power allocation ratio resource allocation SoftCast |