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

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

doi:10.1109/INFOCOM.2014.6847963

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

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

14 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Titel	IEEE Infocom 2014 (Toronto ON, Canada, April 27-May 2, 2014)
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	406-414
ISBN van geprinte versie	978-1-4799-3360-0
DOI's	https://doi.org/10.1109/INFOCOM.2014.6847963
Status	Gepubliceerd - 2014
Evenement	33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada - Toronto, Canada Duur: 27 apr 2014 → 2 mei 2014 http://infocom2014.ieee-infocom.org/

Congres

Congres	33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada
Verkorte titel	IEEE INFOCOM 2014
Land	Canada
Stad	Toronto
Periode	27/04/14 → 2/05/14
Ander	IEEE Infocom 2014
Internet adres	http://infocom2014.ieee-infocom.org/

Toegang tot document

10.1109/INFOCOM.2014.6847963

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Citeer dit

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title = "Optimal rate allocation for adaptive wireless video streaming in networks with user dynamics",

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.",

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note = "33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada, IEEE INFOCOM 2014 ; Conference date: 27-04-2014 Through 02-05-2014",

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Joseph, V, Borst, SC & Reiman, MI 2014, Optimal rate allocation for adaptive wireless video streaming in networks with user dynamics. in IEEE Infocom 2014 (Toronto ON, Canada, April 27-May 2, 2014). Institute of Electrical and Electronics Engineers, blz. 406-414, 33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada, Toronto, Canada, 27/04/14. https://doi.org/10.1109/INFOCOM.2014.6847963

Optimal rate allocation for adaptive wireless video streaming in networks with user dynamics. / Joseph, V.; Borst, S.C.; Reiman, M.I.

IEEE Infocom 2014 (Toronto ON, Canada, April 27-May 2, 2014). Institute of Electrical and Electronics Engineers, 2014. blz. 406-414.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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