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An optimized approach to video traffic splitting in heterogeneous wireless networks with energy and QoE consideration

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dc.contributor.author Abbas, Nadine
dc.contributor.author Hajj, Hazem
dc.contributor.author Dawy, Zaher
dc.contributor.author Jahed, Karim
dc.contributor.author Sharafeddine, Sanaa
dc.date.accessioned 2018-06-06T12:29:32Z
dc.date.available 2018-06-06T12:29:32Z
dc.date.copyright 2017 en_US
dc.identifier.issn 1084-8045 en_US
dc.identifier.uri http://hdl.handle.net/10725/8017
dc.description.abstract Due to the exploding traffic demands with the ubiquitous anticipated spread of 5G and Internet of Things, research has been active to devise mechanisms for meeting these demands while maintaining high quality user experience. In support of this direction, 3GPP is working towards cellular/WiFi interworking in heterogeneous networks to boost throughput, capacity, coverage and quality of experience. However, the continuous use of multiple wireless interfaces will increase the system performance but at the expense of more energy. As a result, there is a need for a dynamic use of multiple interfaces to provide a balance between energy consumption, throughput and user experience. Previous work in this field has considered improving throughput and reducing energy consumption, but did not consider simultaneously quality of experience as perceived by the end user. In this work, we aim at devising real-time traffic splitting strategies between WiFi and cellular networks to maximize user experience, reduce delay, and balance the needed energy consumption. We develop solutions for cellular/WiFi network resource management using Lyapunov drift-plus-penalty optimization approach. We evaluate the proposed approach using parameters determined via experimental measurements from mobile devices, and using our own test bed implementation to provide an evaluation under realistic operation conditions. Results show the performance effectiveness of the proposed traffic splitting approach in terms of throughput, delay, queue stability, energy consumption and quality of user experience by monitoring the frequency and lengths of video stalls. en_US
dc.language.iso en en_US
dc.title An optimized approach to video traffic splitting in heterogeneous wireless networks with energy and QoE consideration en_US
dc.type Article en_US
dc.description.version Published 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.relation.journal Journal of Network and Computer Applications en_US
dc.journal.volume 83 en_US
dc.article.pages 72-88 en_US
dc.keywords QoE en_US
dc.keywords Heterogeneous networks en_US
dc.keywords Energy consumption en_US
dc.keywords Traffic splitting en_US
dc.keywords Multi-RAT en_US
dc.identifier.doi https://doi.org/10.1016/j.jnca.2017.01.008 en_US
dc.identifier.ctation Abbas, N., Hajj, H., Dawy, Z., Jahed, K., & Sharafeddine, S. (2017). An optimized approach to video traffic splitting in heterogeneous wireless networks with energy and QoE considerations. Journal of Network and Computer Applications, 83, 72-88. en_US
dc.author.email nadine.abbas@lau.edu.lb en_US
dc.author.email sanaa.sharafeddine@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S1084804517300140 en_US
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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