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dc.creatorGalanopoulos A., Iosifidis G., Argyriou A., Tassiulas L.en
dc.date.accessioned2023-01-31T07:39:31Z
dc.date.available2023-01-31T07:39:31Z
dc.date.issued2015
dc.identifier10.1109/WoWMoM.2015.7158121
dc.identifier.isbn9781479984619
dc.identifier.urihttp://hdl.handle.net/11615/71922
dc.description.abstractIn this paper we present an optimization framework that formalizes the inherent trade-off between the user perceived quality of wireless video, and the energy consumption cost of the network. The former is formulated in the context of the emerging heterogeneous cellular networks (HCN) based on LTE. We also consider users that employ dynamic adaptive streaming over HTTP (DASH). Our framework quantifies this trade-off carefully, by delving into the details of DASH, the LTE network, and the HCN architecture. The result is a complex problem that is solved in two levels. The master problem is responsible for decisions regarding the the user association and the average power they are allocated. The solution of this problem also entails a decision about the encoding rate of the DASH video segments. The previous decision is used in order to perform resource allocation at a finer level by considering the technical details of LTE that allocates resource blocks and power simultaneously. Numerical results are presented with realistic parameters for the LTE network and the video traffic. © 2015 IEEE.en
dc.language.isoenen
dc.sourceProceedings of the WoWMoM 2015: A World of Wireless Mobile and Multimedia Networksen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84943149823&doi=10.1109%2fWoWMoM.2015.7158121&partnerID=40&md5=18d66710fd4f2418d19d77a3af4b8230
dc.subjectDecision makingen
dc.subjectEconomic and social effectsen
dc.subjectEnergy utilizationen
dc.subjectMobile telecommunication systemsen
dc.subjectResource allocationen
dc.subjectWireless networksen
dc.subjectDynamic Adaptive Streaming over HTTPen
dc.subjectHeterogeneous cellular networksen
dc.subjectNetwork optimizationen
dc.subjectNumerical resultsen
dc.subjectOptimization frameworken
dc.subjectUser associationsen
dc.subjectVideo deliveryen
dc.subjectVideo qualityen
dc.subjectHeterogeneous networksen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleGreen video delivery in LTE-based heterogeneous cellular networksen
dc.typeconferenceItemen


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