Optimising QoE distribution for video applications through LTE-WiFi interworking

Mirghiasaldin Seyedebrahimi, Xiao Hong Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mobile WiFi devices are becoming increasingly popular in non-seamless and user-controlled mobile traffic offloading alongside the standard WiFi hotspots. Unlike the operator-controlled hotspots, a mobile WiFi device relies on the capacity of the macro-cell for the data rate allocated to it. This type of devices can help offloading data traffic from the macro-cell base station and serve the end users within a closer range, but will change the pattern of resource distributions operated by the base station. We propose a resource allocation scheme that aims to optimize user quality of experience (QoE) when accessing video services in the environment where traffic offloading is taking place through interworking between a mobile communication system and low range wireless LANs. In this scheme, a rate redistribution algorithm is derived to perform scheduling which is controlled by a no-reference quality assessment metric in order to achieve the desired trade-offs between efficiency and fairness. We show the performance of this algorithm in terms of the distribution of the allocated data rates throughout the macro-cell investigated and the service coverage offered by the WiFi access point.

Original languageEnglish
Title of host publicationProceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies
EditorsKhalid Al-Begain
PublisherIEEE
Pages335-340
Number of pages6
ISBN (Print)978-1-4799-8660-6
DOIs
Publication statusPublished - 5 Jan 2016
Event9th International Conference on Next Generation Mobile Applications, Services and Technologies - Cambridge, United Kingdom
Duration: 9 Sep 201511 Sep 2015

Conference

Conference9th International Conference on Next Generation Mobile Applications, Services and Technologies
Abbreviated titleNGMAST 2015
CountryUnited Kingdom
CityCambridge
Period9/09/1511/09/15

Fingerprint

Macros
Mobile devices
Base stations
Mobile telecommunication systems
Local area networks
Resource allocation
Scheduling

Bibliographical note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

  • interworking
  • LTE
  • Quality of Experience
  • resource allocation
  • video streaming
  • WiFi offloading

Cite this

Seyedebrahimi, M., & Peng, X. H. (2016). Optimising QoE distribution for video applications through LTE-WiFi interworking. In K. Al-Begain (Ed.), Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies (pp. 335-340). IEEE. https://doi.org/10.1109/NGMAST.2015.70
Seyedebrahimi, Mirghiasaldin ; Peng, Xiao Hong. / Optimising QoE distribution for video applications through LTE-WiFi interworking. Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies. editor / Khalid Al-Begain. IEEE, 2016. pp. 335-340
@inproceedings{87304ae847ae48e784d1d3e1a08f5388,
title = "Optimising QoE distribution for video applications through LTE-WiFi interworking",
abstract = "Mobile WiFi devices are becoming increasingly popular in non-seamless and user-controlled mobile traffic offloading alongside the standard WiFi hotspots. Unlike the operator-controlled hotspots, a mobile WiFi device relies on the capacity of the macro-cell for the data rate allocated to it. This type of devices can help offloading data traffic from the macro-cell base station and serve the end users within a closer range, but will change the pattern of resource distributions operated by the base station. We propose a resource allocation scheme that aims to optimize user quality of experience (QoE) when accessing video services in the environment where traffic offloading is taking place through interworking between a mobile communication system and low range wireless LANs. In this scheme, a rate redistribution algorithm is derived to perform scheduling which is controlled by a no-reference quality assessment metric in order to achieve the desired trade-offs between efficiency and fairness. We show the performance of this algorithm in terms of the distribution of the allocated data rates throughout the macro-cell investigated and the service coverage offered by the WiFi access point.",
keywords = "interworking, LTE, Quality of Experience, resource allocation, video streaming, WiFi offloading",
author = "Mirghiasaldin Seyedebrahimi and Peng, {Xiao Hong}",
note = "{\circledC} 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",
year = "2016",
month = "1",
day = "5",
doi = "10.1109/NGMAST.2015.70",
language = "English",
isbn = "978-1-4799-8660-6",
pages = "335--340",
editor = "Khalid Al-Begain",
booktitle = "Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies",
publisher = "IEEE",
address = "United States",

}

Seyedebrahimi, M & Peng, XH 2016, Optimising QoE distribution for video applications through LTE-WiFi interworking. in K Al-Begain (ed.), Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies. IEEE, pp. 335-340, 9th International Conference on Next Generation Mobile Applications, Services and Technologies, Cambridge, United Kingdom, 9/09/15. https://doi.org/10.1109/NGMAST.2015.70

Optimising QoE distribution for video applications through LTE-WiFi interworking. / Seyedebrahimi, Mirghiasaldin; Peng, Xiao Hong.

Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies. ed. / Khalid Al-Begain. IEEE, 2016. p. 335-340.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Optimising QoE distribution for video applications through LTE-WiFi interworking

AU - Seyedebrahimi, Mirghiasaldin

AU - Peng, Xiao Hong

N1 - © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2016/1/5

Y1 - 2016/1/5

N2 - Mobile WiFi devices are becoming increasingly popular in non-seamless and user-controlled mobile traffic offloading alongside the standard WiFi hotspots. Unlike the operator-controlled hotspots, a mobile WiFi device relies on the capacity of the macro-cell for the data rate allocated to it. This type of devices can help offloading data traffic from the macro-cell base station and serve the end users within a closer range, but will change the pattern of resource distributions operated by the base station. We propose a resource allocation scheme that aims to optimize user quality of experience (QoE) when accessing video services in the environment where traffic offloading is taking place through interworking between a mobile communication system and low range wireless LANs. In this scheme, a rate redistribution algorithm is derived to perform scheduling which is controlled by a no-reference quality assessment metric in order to achieve the desired trade-offs between efficiency and fairness. We show the performance of this algorithm in terms of the distribution of the allocated data rates throughout the macro-cell investigated and the service coverage offered by the WiFi access point.

AB - Mobile WiFi devices are becoming increasingly popular in non-seamless and user-controlled mobile traffic offloading alongside the standard WiFi hotspots. Unlike the operator-controlled hotspots, a mobile WiFi device relies on the capacity of the macro-cell for the data rate allocated to it. This type of devices can help offloading data traffic from the macro-cell base station and serve the end users within a closer range, but will change the pattern of resource distributions operated by the base station. We propose a resource allocation scheme that aims to optimize user quality of experience (QoE) when accessing video services in the environment where traffic offloading is taking place through interworking between a mobile communication system and low range wireless LANs. In this scheme, a rate redistribution algorithm is derived to perform scheduling which is controlled by a no-reference quality assessment metric in order to achieve the desired trade-offs between efficiency and fairness. We show the performance of this algorithm in terms of the distribution of the allocated data rates throughout the macro-cell investigated and the service coverage offered by the WiFi access point.

KW - interworking

KW - LTE

KW - Quality of Experience

KW - resource allocation

KW - video streaming

KW - WiFi offloading

UR - http://www.scopus.com/inward/record.url?scp=84964589057&partnerID=8YFLogxK

U2 - 10.1109/NGMAST.2015.70

DO - 10.1109/NGMAST.2015.70

M3 - Conference contribution

AN - SCOPUS:84964589057

SN - 978-1-4799-8660-6

SP - 335

EP - 340

BT - Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies

A2 - Al-Begain, Khalid

PB - IEEE

ER -

Seyedebrahimi M, Peng XH. Optimising QoE distribution for video applications through LTE-WiFi interworking. In Al-Begain K, editor, Proceedings - NGMAST 2015: The 9th International Conference on Next Generation Mobile Applications, Services and Technologies. IEEE. 2016. p. 335-340 https://doi.org/10.1109/NGMAST.2015.70