Multiple-objective cross-layer optimized content-adaptive scheduling for video streaming over 1xEV-DO

F. de Vito, Tanir Ozcelebi, A.M. Tekalp, M.R. Civanlar, M.O. Sunay, J.C. de Martin

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In video transmission over wireless cellular packet networks, service fairness, video quality and channel throughput should all be simultaneously guaranteed. In this regard, a key role is played by the scheduling algorithm, that - to achieve maximum performance should consider both physical and application layer information. At the application layer, we propose to consider the video perceptual importance, which depends on both the time-varying semantic relevance and the individual importance of each packet. In this paper, a novel multiple objective optimized (MOO) opportunistic multiple access scheme for slot assignment in a 1xEV-DO system is presented, and modifications to H.264 codec are also described. Here, the user that experiences the best compromise between the least buffer occupancy level, the best channel condition and the highest packet importance indicator is served at each time slot. Results show that this system outperforms the state-of-the-art techniques.
Original languageEnglish
Title of host publicationProceedings IEEE International Conference on Wireless Networks, Communications and Mobile Computing (WirelessCom 2005, Maui HI, USA, June 13-16, 2005)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1516-1521
Number of pages6
ISBN (Print)0-7803-9305-8
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Wireless Networks, Communications and Mobile Computing - Maui, United States
Duration: 13 Jun 200516 Jun 2005

Conference

ConferenceInternational Conference on Wireless Networks, Communications and Mobile Computing
CountryUnited States
CityMaui
Period13/06/0516/06/05

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