Optimal rate allocation for adaptive wireless video streaming in networks with user dynamics

V. Joseph, S.C. Borst, M.I. Reiman

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

14 Citations (Scopus)

Abstract

We consider the problem of optimal rate allocation and admission control for adaptive video streaming sessions in wireless networks with user dynamics. The central aim is to achieve an optimal tradeoff between several key objectives: maximizing the average rate utility per user, minimizing the temporal rate variability, and maximizing the number of users supported. We identify the structure of algorithms that achieve asymptotically optimal performance in large-capacity systems, and exploit the insight into this structure to devise parsimonious and robust online algorithms. Extensive simulation experiments demonstrate that the proposed online algorithms perform well, even in systems with relatively small capacity.
Original languageEnglish
Title of host publicationIEEE Infocom 2014 (Toronto ON, Canada, April 27-May 2, 2014)
PublisherInstitute of Electrical and Electronics Engineers
Pages406-414
ISBN (Print)978-1-4799-3360-0
DOIs
Publication statusPublished - 2014
Event33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada - Toronto, Canada
Duration: 27 Apr 20142 May 2014
http://infocom2014.ieee-infocom.org/

Conference

Conference33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada
Abbreviated titleIEEE INFOCOM 2014
CountryCanada
CityToronto
Period27/04/142/05/14
Internet address

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