A QoE-driven resource allocation strategy for OFDM multiuser-multiservice system

Xiaolin Deng, Qiang Gao, Salah Addin Mohammed, Liang Chen, Fei Wang, Zesong Fei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Quality of Experience (QoE) is a widely used metric to measure the perceptive feeling of end users for multimedia service. In this paper, a QoE-driven radio resource allocation scheme has been developed for the multiuser-multiservice OFDM system. Different from the previous schemes, we take the service type into consideration when allocating radio resource. Three multimedia applications have been discussed in this work, including Voice over Internet Protocol (VoIP), Internet Protocol Television (IPTV) and File Download (FD). For all the multimedia applications, their QoE are related to the scheduled radio resource, the objective of our scheduling scheme is to maximize the overall QoE while guaranteeing all the users can perceive a relatively good QoE level. The proposed scheduling algorithm can be divided into two parts: Firstly, allocate subcarriers to all the users in order to guarantee their minimal transmit rate requirement, then the remaining subcarriers are allocated to the users who can achieve the best QoE gain. The simulation results indicate that our algorithm can reach high overall QoE performance while maintaining an acceptable fairness in the system.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Conference on Computer and Information Technology, CIT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages351-355
Number of pages5
ISBN (Electronic)9781479962389
DOIs
Publication statusPublished - 12 Dec 2014
Event14th IEEE International Conference on Computer and Information Technology, CIT 2014 - Xi'an, Shaanxi, China
Duration: 11 Sept 201413 Sept 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Computer and Information Technology, CIT 2014

Conference

Conference14th IEEE International Conference on Computer and Information Technology, CIT 2014
Country/TerritoryChina
CityXi'an, Shaanxi
Period11/09/1413/09/14

Keywords

  • File Download (FD)
  • Internet Protocol Television (IPTV)
  • Orthogonal frequency-division multiplexing (OFDM)
  • Quality of Experience (QoE)
  • Resource allocation
  • Voice over Internet Protocol (VoIP)

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