Cost and energy aware dynamic splitting of video traffic in heterogeneous networks

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dc.contributor.author Abbas, Nadine
dc.contributor.author Sharafeddine, Sanaa
dc.contributor.author Hajj, Hazem
dc.contributor.author Dawy, Zaher
dc.date.accessioned 2019-12-10T08:21:03Z
dc.date.available 2019-12-10T08:21:03Z
dc.date.issued 2019-12-10
dc.identifier.uri http://hdl.handle.net/10725/11619
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.subject Data transmission systems -- Congresses en_US
dc.subject Telecommunication -- Data processing -- Congresses en_US
dc.subject Wireless sensor networks -- Congresses en_US
dc.subject Cloud computing -- Congresses en_US
dc.title Cost and energy aware dynamic splitting of video traffic in heterogeneous networks en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAS en_US
dc.author.idnumber 201802638 en_US
dc.author.idnumber 200502746 en_US
dc.author.department Computer Science And Mathematics en_US
dc.description.embargo N/A en_US
dc.identifier.doi https://doi.org/10.1016/10.1109/ISCC47284.2019.8969662
dc.identifier.ctation 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. en_US
dc.author.email nadine.abbas@lau.edu.lb en_US
dc.author.email sanaa.sharafeddine@lau.edu.lb en_US
dc.conference.date 29 June-3 July 2019 en_US
dc.conference.place Barcelona, Spain en_US
dc.conference.title 2019 IEEE Symposium on Computers and Communications (ISCC) en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/8969662
dc.orcid.id https://orcid.org/0000-0003-3028-326X en_US
dc.orcid.id https://orcid.org/0000-0001-6548-1624 en_US
dc.author.affiliation Lebanese American University en_US

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