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

Stochastic Operations Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

15 Citations (Scopus)

2 Downloads (Pure)

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 language	English
Title of host publication	IEEE Infocom 2014 (Toronto ON, Canada, April 27-May 2, 2014)
Publisher	Institute of Electrical and Electronics Engineers
Pages	406-414
ISBN (Print)	978-1-4799-3360-0
DOIs	https://doi.org/10.1109/INFOCOM.2014.6847963
Publication status	Published - 2014
Event	33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada - Toronto, Canada Duration: 27 Apr 2014 → 2 May 2014 http://infocom2014.ieee-infocom.org/

Conference

Conference	33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14), April 27th - May 2nd, 2014, Toronto, Canada
Abbreviated title	IEEE INFOCOM 2014
Country/Territory	Canada
City	Toronto
Period	27/04/14 → 2/05/14
Internet address	http://infocom2014.ieee-infocom.org/

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10.1109/INFOCOM.2014.6847963

Cite this

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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.",

author = "V. Joseph and S.C. Borst and M.I. Reiman",

year = "2014",

doi = "10.1109/INFOCOM.2014.6847963",

language = "English",

isbn = "978-1-4799-3360-0",

pages = "406--414",

booktitle = "IEEE Infocom 2014 (Toronto ON, Canada, April 27-May 2, 2014)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

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",

url = "http://infocom2014.ieee-infocom.org/",

}

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, pp. 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. p. 406-414.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Borst, S.C.

AU - Reiman, M.I.

PY - 2014

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N2 - 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.

AB - 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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DO - 10.1109/INFOCOM.2014.6847963

M3 - Conference contribution

SN - 978-1-4799-3360-0

SP - 406

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BT - IEEE Infocom 2014 (Toronto ON, Canada, April 27-May 2, 2014)

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Y2 - 27 April 2014 through 2 May 2014

ER -

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

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