Cost and energy aware dynamic splitting of video traffic in heterogeneous networks
The vision towards 5G and beyond is to provide remarkable performance enhancements that enable the launch of new services and markets in different industry verticals. Example scenarios of those services include indoor hotspot, broadband access in a crowd, and dense urban; many of which require very...
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| مؤلفون آخرون: | , , |
| التنسيق: | conferenceObject |
| منشور في: |
2019
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/11619 https://doi.org/10.1016/10.1109/ISCC47284.2019.8969662 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8969662 |
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| _version_ | 1864513489275453440 |
|---|---|
| author | Abbas, Nadine |
| author2 | Sharafeddine, Sanaa Hajj, Hazem Dawy, Zaher |
| author2_role | author author author |
| author_facet | Abbas, Nadine Sharafeddine, Sanaa Hajj, Hazem Dawy, Zaher |
| author_role | author |
| dc.creator.none.fl_str_mv | Abbas, Nadine Sharafeddine, Sanaa Hajj, Hazem Dawy, Zaher |
| dc.date.none.fl_str_mv | 2019-12-10T08:21:03Z 2019-12-10T08:21:03Z 2019-12-10 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/11619 https://doi.org/10.1016/10.1109/ISCC47284.2019.8969662 Abbas, N., Sharafeddine, S., Hajj, H., & Dawy, Z. (2019, June). Cost and energy aware dynamic splitting of video traffic in heterogeneous networks. In 2019 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-7). IEEE. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8969662 |
| dc.language.none.fl_str_mv | en |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Data transmission systems -- Congresses Telecommunication -- Data processing -- Congresses Wireless sensor networks -- Congresses Cloud computing -- Congresses |
| dc.title.none.fl_str_mv | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | The vision towards 5G and beyond is to provide remarkable performance enhancements that enable the launch of new services and markets in different industry verticals. Example scenarios of those services include indoor hotspot, broadband access in a crowd, and dense urban; many of which require very high data rates. Traffic offloading and device-to-device cooperation have been leveraged to expand the system capacity and coverage through using heterogeneous network technologies. In this work, we shed the light on the significant gains incurred when predicted short term network performance is factored into network splitting decisions over multiple wireless interfaces, while guaranteeing a desired quality of experience to end users. Accordingly, we allow dynamic use of multiple network interfaces taking into consideration their energy requirement and price models to deliver premium services and minimize the overall energy consumption and total cost. We develop a novel and efficient real-time traffic splitting approach that makes use of predicted bit rate of each network interface in addition to device-to-device cooperation to decide on the amount of video traffic to be delivered on each interface at every time slot. The proposed approach is validated and evaluated under realistic network conditions. Simulation results demonstrate substantial gains in terms of energy consumption, data cost and quality of user experience as compared to multiple alternative solutions. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_b65dda0b39ae91df01ac0b4503a4df4f |
| identifier_str_mv | Abbas, N., Sharafeddine, S., Hajj, H., & Dawy, Z. (2019, June). Cost and energy aware dynamic splitting of video traffic in heterogeneous networks. In 2019 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-7). IEEE. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/11619 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
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| spelling | Cost and energy aware dynamic splitting of video traffic in heterogeneous networksAbbas, NadineSharafeddine, SanaaHajj, HazemDawy, ZaherData transmission systems -- CongressesTelecommunication -- Data processing -- CongressesWireless sensor networks -- CongressesCloud computing -- CongressesThe vision towards 5G and beyond is to provide remarkable performance enhancements that enable the launch of new services and markets in different industry verticals. Example scenarios of those services include indoor hotspot, broadband access in a crowd, and dense urban; many of which require very high data rates. Traffic offloading and device-to-device cooperation have been leveraged to expand the system capacity and coverage through using heterogeneous network technologies. In this work, we shed the light on the significant gains incurred when predicted short term network performance is factored into network splitting decisions over multiple wireless interfaces, while guaranteeing a desired quality of experience to end users. Accordingly, we allow dynamic use of multiple network interfaces taking into consideration their energy requirement and price models to deliver premium services and minimize the overall energy consumption and total cost. We develop a novel and efficient real-time traffic splitting approach that makes use of predicted bit rate of each network interface in addition to device-to-device cooperation to decide on the amount of video traffic to be delivered on each interface at every time slot. The proposed approach is validated and evaluated under realistic network conditions. Simulation results demonstrate substantial gains in terms of energy consumption, data cost and quality of user experience as compared to multiple alternative solutions.N/A2019-12-10T08:21:03Z2019-12-10T08:21:03Z2019-12-10Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/11619https://doi.org/10.1016/10.1109/ISCC47284.2019.8969662Abbas, N., Sharafeddine, S., Hajj, H., & Dawy, Z. (2019, June). Cost and energy aware dynamic splitting of video traffic in heterogeneous networks. In 2019 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-7). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://ieeexplore.ieee.org/abstract/document/8969662eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/116192021-06-03T10:56:37Z |
| spellingShingle | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks Abbas, Nadine Data transmission systems -- Congresses Telecommunication -- Data processing -- Congresses Wireless sensor networks -- Congresses Cloud computing -- Congresses |
| status_str | publishedVersion |
| title | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks |
| title_full | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks |
| title_fullStr | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks |
| title_full_unstemmed | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks |
| title_short | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks |
| title_sort | Cost and energy aware dynamic splitting of video traffic in heterogeneous networks |
| topic | Data transmission systems -- Congresses Telecommunication -- Data processing -- Congresses Wireless sensor networks -- Congresses Cloud computing -- Congresses |
| url | http://hdl.handle.net/10725/11619 https://doi.org/10.1016/10.1109/ISCC47284.2019.8969662 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8969662 |