Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMehrabidavoodabadi, Abbasen_US
dc.contributor.authorSiekkinen, Mattien_US
dc.contributor.authorYlä-Jääski, Anttien_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorYlä-Jääski Antti groupen
dc.contributor.groupauthorProfessorship Di Francesco Marioen
dc.contributor.groupauthorHelsinki Institute for Information Technology (HIIT)en
dc.contributor.groupauthorComputer Science - Computing Systems (ComputingSystems) - Research areaen
dc.date.accessioned2019-09-20T11:10:37Z
dc.date.available2019-09-20T11:10:37Z
dc.date.issued2019-09-06en_US
dc.description.abstractGreen mobile edge computing (GMEC) refers to the integration of intermittent renewable energy sources into mobile edge computing architecture. It is a promising solution to overcome the challenges posed by grid-powered edge servers. On the other hand, direct device-to-device (D2D) communication and caching helps to alleviate the processing tasks at the edges and reduce traffic in the mobile backhaul. Using either D2D or energy harvesting functionality alone causes some performance loss which can be compensated by enabling both functionalities into the MEC. Motivated by this fact, we investigate how enabling D2D into the green MEC helps to save the grid/renewable energy consumption without sacrificing user experience or the traffic localization benefits, specifically in the case of on demand video streaming. To this end, we formulate a joint optimization of quality of experience (QoE), backhaul traffic, and grid energy consumption in D2D-enabled GMEC and design a heuristic-based algorithm with low complexity to solve the problem. Simulation results using both radio link information of the clients and measured solar harvested energy reveal that integrating D2D into GMEC for DASH indeed helps to significantly save the grid/renewable energy and reduce the backhaul traffic with marginal improvement in quality of video delivered to the clients.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMehrabidavoodabadi, A, Siekkinen, M & Ylä-Jääski, A 2019, Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication. in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019 . IEEE, pp. 1-7, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Istanbul, Türkiye, 08/09/2019.en
dc.identifier.isbn978-1-5386-8110-7
dc.identifier.otherPURE UUID: 4834363b-bfc1-4731-b688-a2cb9a92d1daen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/4834363b-bfc1-4731-b688-a2cb9a92d1daen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/36948778/SCI_Mehrabi_et.al_Green_Edge_Adaptive_Mobile_Video.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/40303
dc.identifier.urnURN:NBN:fi:aalto-201909205329
dc.language.isoenen
dc.relation.ispartofIEEE International Symposium on Personal, Indoor and Mobile Radio Communicationsen
dc.relation.ispartofseriesIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019en
dc.relation.ispartofseriespp. 1-7en
dc.rightsopenAccessen
dc.subject.keywordgreen computingen_US
dc.subject.keywordmulti-access edge computing (MEC)en_US
dc.subject.keyworddevice-to-device (D2D) communicationen_US
dc.subject.keyworddynamic adaptive streaming over HTTP (DASH)en_US
dc.subject.keywordquality of experience (QoE)en_US
dc.subject.keywordbackhaul trafficen_US
dc.titleGreen Edge Adaptive Mobile Video Streaming with Device-to-Device Communicationen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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