Multi-Timescale QoE Provisioning for Adaptive Video Streaming in Heterogeneous Deployments

This paper considers an optimization problem that maximizes an aggregate utility, formulated as the weighted geometric mean of the "in-context" suitability of a set of radio access technologies (RATs), to support adaptive video streaming subject to the existence of legacy data transfers. M...

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Published inIEEE transactions on vehicular technology Vol. 70; no. 2; pp. 1894 - 1909
Main Authors Bouali, Faouzi, Moessner, Klaus, Fitch, Michael
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract This paper considers an optimization problem that maximizes an aggregate utility, formulated as the weighted geometric mean of the "in-context" suitability of a set of radio access technologies (RATs), to support adaptive video streaming subject to the existence of legacy data transfers. Motivated by the unfeasibility of solving the formulated problem centrally when the various RATs are loosely integrated (i.e., at core network (CN) level), a hybrid (i.e., network-assisted user-driven) strategy is devised to approximate its optimum solution. Unlike previous hybrid approaches, the proposed methodology exploits network assistance to ensure a friendly co-existence between adaptive video streaming clients and legacy users. It operates on different timescales, where the fastest timescale operation is performed on the video clients according to a policy that is tuned by the network on slower timescales. The user operation on the fastest timescale (i.e., tens of ms) enables to adapt video streaming depending on the perceived quality-of-experience (QoE) and local components of the context (e.g., remaining credit and battery level). A small-cell tuning on a slower timescale (i.e., hundreds of ms) enables to preempt the resources used by legacy users based on the operating conditions (e.g., load and type of scheduler). Finally, a tuning performed by the network on the slowest timescale (i.e., few seconds) offloads legacy data transfers to unlicensed bands whenever the amount of interference on licensed bands reaches critical levels, which helps to sustain good QoE for all video clients. A cost-benefit analysis reveals that the proposed methodology performs closely to its centralized counterpart with much less control overhead on the radio interface.
AbstractList This paper considers an optimization problem that maximizes an aggregate utility, formulated as the weighted geometric mean of the "in-context" suitability of a set of radio access technologies (RATs), to support adaptive video streaming subject to the existence of legacy data transfers. Motivated by the unfeasibility of solving the formulated problem centrally when the various RATs are loosely integrated (i.e., at core network (CN) level), a hybrid (i.e., network-assisted user-driven) strategy is devised to approximate its optimum solution. Unlike previous hybrid approaches, the proposed methodology exploits network assistance to ensure a friendly co-existence between adaptive video streaming clients and legacy users. It operates on different timescales, where the fastest timescale operation is performed on the video clients according to a policy that is tuned by the network on slower timescales. The user operation on the fastest timescale (i.e., tens of ms) enables to adapt video streaming depending on the perceived quality-of-experience (QoE) and local components of the context (e.g., remaining credit and battery level). A small-cell tuning on a slower timescale (i.e., hundreds of ms) enables to preempt the resources used by legacy users based on the operating conditions (e.g., load and type of scheduler). Finally, a tuning performed by the network on the slowest timescale (i.e., few seconds) offloads legacy data transfers to unlicensed bands whenever the amount of interference on licensed bands reaches critical levels, which helps to sustain good QoE for all video clients. A cost-benefit analysis reveals that the proposed methodology performs closely to its centralized counterpart with much less control overhead on the radio interface.
Author Bouali, Faouzi
Moessner, Klaus
Fitch, Michael
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10.1109/INFOCOM.2016.7524428
10.1109/TWC.2017.2718526
10.1109/TMC.2018.2850026
10.1109/TWC.2014.2365803
10.1109/JSAC.2014.140405
10.1109/TNET.2016.2587622
10.1007/s11036-006-0050-5
10.1109/PIMRC.2017.8292663
10.1109/COMST.2017.2705720
10.1109/TVT.2013.2286622
10.1109/TBC.2013.2247171
10.1109/TVT.2018.2793186
10.1016/j.comnet.2013.06.008
10.1109/JSAC.2015.2417016
10.1109/ICC.2017.7996703
10.1109/ICCSP.2015.7322631
10.1109/VTCSpring.2016.7504476
10.1109/WCNC.2010.5506371
10.1109/PV.2012.6229732
10.1109/MCOM.2016.7378430
10.1109/VTCFall.2016.7880848
10.1109/VTCFall.2012.6399281
10.1109/TBC.2018.2823644
10.1109/WPMC.2017.8301838
10.1109/WiMOB.2017.8115778
10.1109/JSAC.2017.2720338
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References ref15
ref14
(ref38) 2021
ref32
ref10
(ref2) 2020
ref39
ref17
ref16
bouali (ref30) 0
(ref35) 2020
ref19
ref18
(ref11) 2017
(ref34) 2020
(ref13) 2016
(ref4) 2018
ref24
ref23
ref26
ref25
ref20
ref41
(ref12) 2020
ref22
ref44
(ref33) 2016
ref21
ref43
(ref36) 0
(ref1) 2019
ref28
ref27
(ref3) 2020
ref29
huang (ref31) 0
ref8
jain (ref40) 1984
ref7
kennedy (ref45) 2011
ref9
ref6
ref5
(ref37) 2013
halperin (ref42) 0
References_xml – year: 2013
  ident: ref37
  article-title: Small cell enhancements for E-UTRA and E-UTRAN - physical layer aspects
– year: 0
  ident: ref42
  article-title: Demystifying 802.11n power consumption
  publication-title: Proc Int Conf Power Aware Comput Syst ser HotPower'10
– ident: ref27
  doi: 10.1109/ACSSC.2015.7421297
– ident: ref5
  doi: 10.1109/INFOCOM.2016.7524428
– year: 2020
  ident: ref35
  article-title: 3GPP technical specification group services and system aspects; study on access traffic steering, switch and splitting support in the 5G system architecture phase 2 (Release 17)
– year: 2016
  ident: ref13
  article-title: 5G Whitepaper: The flat distributed cloud (FDC) 5G architecture revolution," 5G Innovation Centre
– ident: ref17
  doi: 10.1109/TWC.2017.2718526
– ident: ref20
  doi: 10.1109/TMC.2018.2850026
– ident: ref19
  doi: 10.1109/TWC.2014.2365803
– ident: ref6
  doi: 10.1109/JSAC.2014.140405
– ident: ref15
  doi: 10.1109/TNET.2016.2587622
– ident: ref28
  doi: 10.1007/s11036-006-0050-5
– ident: ref26
  doi: 10.1109/PIMRC.2017.8292663
– ident: ref39
  doi: 10.1109/COMST.2017.2705720
– ident: ref18
  doi: 10.1109/TVT.2013.2286622
– start-page: 173
  year: 2011
  ident: ref45
  publication-title: Energy Consumption Analysis and Adaptive Energy Saving Solutions for Mobile Device Applications
– year: 2017
  ident: ref11
  article-title: Technical specification group radio access network; evolved universal terrestrial radio access (E-UTRA); LAA/eLAA for the "CBRS" 3.5 GHz band in the United States (Release 15)
– year: 2018
  ident: ref4
  article-title: Hybrid broadcast broadband TV
– ident: ref29
  doi: 10.1109/TBC.2013.2247171
– year: 2016
  ident: ref33
  article-title: OMA device management protocol
– ident: ref14
  doi: 10.1109/TVT.2018.2793186
– year: 2020
  ident: ref3
  article-title: Digital video broadcasting (DVB); MPEG-DASH profile for transport of ISO BMFF based DVB services over IP based networks
– ident: ref41
  doi: 10.1016/j.comnet.2013.06.008
– year: 2020
  ident: ref2
  article-title: Technical specification group services and system aspects; transparent end-to-end packet-switched streaming service (PSS); progressive download and dynamic adaptive streaming over HTTP (3GP-DASH), (Release 16)
– year: 2020
  ident: ref34
  article-title: 3GPP technical specification group services and system aspects; system architecture for the 5G system; stage 2
– start-page: 225
  year: 0
  ident: ref31
  article-title: A close examination of performance and power characteristics of 4 G LTE networks
  publication-title: Proc 10th Int Conf Mobile Syst Appl Services
– start-page: 1
  year: 0
  ident: ref30
  article-title: A framework based on a fittingness factor to enable efficient exploitation of spectrum opportunities in cognitive radio networks
  publication-title: Proc Wireless Pers Multimedia Commun
– ident: ref10
  doi: 10.1109/JSAC.2015.2417016
– ident: ref24
  doi: 10.1109/ICC.2017.7996703
– ident: ref32
  doi: 10.1109/ICCSP.2015.7322631
– ident: ref44
  doi: 10.1109/VTCSpring.2016.7504476
– ident: ref16
  doi: 10.1109/WCNC.2010.5506371
– year: 0
  ident: ref36
– ident: ref7
  doi: 10.1109/PV.2012.6229732
– year: 2019
  ident: ref1
  article-title: Information technology-Dynamic adaptive streaming over HTTP (DASH)-Part 1: Media presentation description and segment formats
– year: 2020
  ident: ref12
  article-title: Technical specification group radio access network; evolved universal terrestrial radio access (E-UTRA); LTE-WLAN aggregation adaptation protocol (LWAAP) specification (Release 16)
– ident: ref9
  doi: 10.1109/MCOM.2016.7378430
– ident: ref23
  doi: 10.1109/VTCFall.2016.7880848
– ident: ref43
  doi: 10.1109/VTCFall.2012.6399281
– year: 2021
  ident: ref38
  article-title: NS-3 model library
– ident: ref21
  doi: 10.1109/TBC.2018.2823644
– ident: ref25
  doi: 10.1109/WPMC.2017.8301838
– ident: ref22
  doi: 10.1109/WiMOB.2017.8115778
– year: 1984
  ident: ref40
  article-title: A quantitative measure of fairness and discrimination for resource allocation in shared computer systems
  publication-title: Digital Equipment Corp
– ident: ref8
  doi: 10.1109/JSAC.2017.2720338
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Snippet This paper considers an optimization problem that maximizes an aggregate utility, formulated as the weighted geometric mean of the "in-context" suitability of...
This paper considers an optimization problem that maximizes an aggregate utility, formulated as the weighted geometric mean of the “in-context” suitability of...
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StartPage 1894
SubjectTerms Clients
Context
Cost benefit analysis
Optimization
Protocols
Provisioning
Quality of experience
Radio access technologies
Servers
Streaming media
Time
Tuning
Video transmission
Wireless LAN
Title Multi-Timescale QoE Provisioning for Adaptive Video Streaming in Heterogeneous Deployments
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