The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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The analysis of the impact of the wireless channel quality on the quality of experience (QoE) through statistical analysis

통계적 분석을 통한 무선 채널 품질이 사용자 체감 품질에 미치는 영향 분석

  • 김범준 (계명대학교 전자공학과)
  • Received : 2014.01.27
  • Accepted : 2014.04.11
  • Published : 2014.04.30
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Abstract

As internet services are being provided through a wireless access, the importance of quality of experience (QoE) is stressed that is defined as the quality that indicates user's actual feeling when a service is provided. Unlike quality of service (QoS) that can be expressed as a numerical value, it is difficult to represent QoE in an objective way. If an internet service is serviced over a wireless channel, its QoE can be affected by a number of factors such as fading, mobility and so on. This paper, therefore, attempts to specify the relationship between QoE and QoS by conducting practical measurements for the voice service through 3G high speed packet access (HSPA) access network. Analysing the measured results, it has been shown that received signal strength indicator (RSSI) has a great influence on mean opinion score (MOS) through transmission delay.

무선 접속을 통한 인터넷 서비스가 보편화된 최근 사람이 서비스를 이용하는 과정에서 실제로 느끼는 품질인 사용자 체감 품질(QoE; Quality of Experience)의 중요성이 더욱 강조되고 있는데 사용자 체감 품질은 서비스 품질 (QoS; Quality of Service)와 같이 객관적인 수치화가 불가능하다는 특징이 있다. 유선과는 달리 무선 접속을 통해서 제공되는 IP 서비스는 매우 많은 요인에 의해서 사용자 체감 품질이 영향을 받을 수 있다. 따라서 본 논문에서는 대표적인 무선 접속 서비스인 HSPA (High Speed Packet Access)를 통해서 음성 서비스가 제공될 때 측정 가능한 품질지표를 선정하고 이들에 대한 실측값을 통계적으로 분석하여 서비스 품질과 사용자 체감 품질 지표와의 상관관계를 밝히고자 한다. 분석 결과 RSSI (Received Signal Strength Indicator)와 전송 지연의 상관관계가 매우 높고 그에 이어 전송 지연과 MOS (Mean Opinion Score)와 매우 높은 상관관계를 가짐을 알 수 있었다.

Keywords

References

  1. S. Barakovic and L. Skorin-Kapov, "Survey and Challenges of QoE Management Issues in Wireless Networks," J. of Computer Networks and Communications, vol. 2013, Hindawi Publishing Corporation, 2013.
  2. Y. Kim, "Performance of VoIP traffics over MANETs under DDoS Intrusions," J. of The Korea Institute of Electronic Communication Sciences, vol. 6, no. 4, 2011, pp. 493-498.
  3. H.-J. Suh, "An Improved Algorithm of Distributed QoS in Real-time Networks," J. of The Korea Institute of Electronic Communication Sciences, vol. 7, no. 1, 2012, pp. 53-60.
  4. S. Ickin, K. Wac, M. Fiedler, L. Janowski, J.-H. Hong, and A. K. Dey, "Factors Influencing Quality of Experience of Commonly Used Mobile Applications," IEEE Communications Mag. vol. 50, issue 4, Apr. 2012, pp. 48-56.
  5. M. Wrulich, W. Weiler, and M. Rupp, "HSDPA Performance in a Mixed Traffic Network," In Proc. of VTC Spring 2008, 2008, pp. 2056-2060.
  6. H. Kim, D. Lee, K. Lee, W. Lyu, and S. Choi, "The QoE Evaluation Method through the QoS-QoE Correlation Model," In Proc. of the Fourth International Conf. on Networked Computing and Advanced Information Management, 2008, pp. 719-725.
  7. M. Fiedler, T. Hossfeld, and P. Tran-Gia, "A Generic Quantitative Relationship between Quality of Experience and Quality of Service," IEEE Network, vol. 24, Issue 2, Mar. 2010, pp. 36-41.
  8. B. Kim, "Software-based Measurement of Mobile Internet Telephony Services," J. of The Korea Institute of Electronic Communication Sciences, vol. 6, no. 1, 2011, pp. 55-60.
  9. Y. Kim, "End-to-end performance of VoIP traffics over large scale MANETs," J. of The Korea Institute of Electronic Communication Sciences, vol. 6, no. 1, 2011, pp. 49-54.
  10. R. Irmer, H.-P. Mayer, A. Weber, V. Braun, M. Schmidt, M. Ohm, N. Ahr, A. Zoch, C. Jandura, P. Marsch, and G. Fettweis, "Multisite Field Trial for LTE and Advanced Concepts," IEEE Communications Mag. vol. 47, issue 4, May 2009, pp. 92-98.