Cited by 7Advanced Wireless Network OptimizationSoftware-Defined Networks and 5GImage and Video Quality Assessment

SARS: A novel QoE based service-aware resource scheduling scheme in wireless network

Lin, Xiaoyong, Wu, Weibo, Zhu, Yuanyuan, Qiu, Tingting, Mi, Zhengkun·2016·2016 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

Abstract

In this paper, we propose a novel QoE based service-aware resource scheduling scheme for multi-mode wireless terminals in the wireless access network, the virtualization of radio access network leads to various virtual bus to offer efficient bandwidth resource for the media terminal to reach best of user experience, especially for the different popular level online streaming video. The quality of experience evaluation system is evolved beyond the QoS level, which means a new customer-centered network epoch. A SARS model is proposed that SARS server makes an optimized virtualization of the SGWs to VBs, so the MT can achieve both more wireless bandwidth and more satisfaction degree, which is shown in the simulation result for the different users groups.

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Registry

Crossref · 10.1109/icuwb.2016.7790527

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4 of 4 references verified0 citation errors · 0 not checkable

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Authors
Lin, X., Wu, W., Zhu, Y., Qiu, T., & Mi, Z.
Affiliations
  • Nanjing University of Posts and Telecommunications (CN)
  • École Supérieure d'Ingénieurs en Génie Électrique (FR)
Venue
2016 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)
Publisher
IEEE
Published
2016-10
Pages
1-4
OpenAlex
W2563319617
Cited by
7
References
4
Citations by year
2023: 1 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 2
FWCI
1.88
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Conference on Ubiquitous Wireless Broadband (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
Keywords
quality of experience, virtualized radio access network, video streaming, user satisfaction

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