Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks

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dc.contributor.author Yaacoub, Elias
dc.contributor.author Dawy, Zaher
dc.contributor.author Sharafeddine, Sanaa
dc.contributor.author Abu-Dayya, Adnan
dc.date.accessioned 2016-03-02T12:02:49Z
dc.date.available 2016-03-02T12:02:49Z
dc.date.copyright 2013
dc.date.issued 2016-03-02
dc.identifier.issn 0923-5965 en_US
dc.identifier.uri http://hdl.handle.net/10725/3234
dc.description.abstract Real-time video streaming over long-term evolution (LTE) networks is investigated in the presence of mobile-to-mobile collaboration. A multi-objective problem for energy and distortion minimization is formulated and an energy-efficient, quality of service (QoS) aware suboptimal approach is presented for collaborative video transmission. In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head send the content to other cluster members using a short-range wireless communications technology. The cluster heads receive the data on the long-range LTE links, either via unicasting or multicasting. LTE scheduling is taken into account on the long range transmissions. Videos with single description coding (SDC), multiple description coding (MDC), and scalable video coding (SVC) are considered. Results show that the proposed approach leads to significant energy savings and enhanced QoS compared to the non-collaborative scenario. Furthermore, MDC is shown to outperform SDC in terms of QoS, at the cost of a slight increase in energy consumption. The same conclusions were reached with respect to SVC compared to single layer coding. en_US
dc.language.iso en en_US
dc.title Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 200502746 en_US
dc.author.woa N/A en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal Signal Processing: Image Communication en_US
dc.journal.volume 28 en_US
dc.journal.issue 9 en_US
dc.article.pages 1114-1131 en_US
dc.keywords Video streaming en_US
dc.keywords Multiple description coding en_US
dc.keywords Scalable video coding en_US
dc.keywords Cooperative communications en_US
dc.keywords Energy efficiency en_US
dc.keywords LTE en_US
dc.identifier.doi http://dx.doi.org/10.1016/j.image.2013.05.007 en_US
dc.identifier.ctation Yaacoub, E., Dawy, Z., Sharafeddine, S., & Abu-Dayya, A. (2013). Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks. Signal Processing: Image Communication, 28(9), 1114-1131. en_US
dc.author.email sanaa.sharafeddine@lau.edu.lb
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0923596513000799
dc.orcid.id https://orcid.org/0000-0001-6548-1624

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