Advertisement

Multimedia Tools and Applications

, Volume 76, Issue 19, pp 19795–19807 | Cite as

Quality measurement system for a wireless network based on the multimedia-data service

  • Hae-Jong Joo
  • Hwa-Young JeongEmail author
Article

Abstract

To catch up with the recent expansions of wireless platforms, the performance of quality management systems for wireless communication network services needs to be continuously improved; therefore, studies should be conducted on comprehensive quality indicators through the quality analyses that can represent the users’ quality of experience (QoE) of multimedia-data based wireless network services. In this paper, subjecting the five wireless Internet services (broadband LTE, LTE-A, LTE3G, WiBro, and WiFi), reliability verifications of quality measurement system platforms, algorithms, and software (S/W) that can assess the qualities of network sections and of the whole stations of service providers were proposed. In addition, to conduct reliability verifications, vehicles were facilitated to travel to the assessment areas and to perform the measurements more than 100 times in each assessment area (over 50 times per terminal).

Keywords

Big data Wireless network service (LTE-A LTE 3G Wibro WiFi) QoE QoS 

References

  1. 1.
    Daesun K (2011) Everything on the wireless network (WIFI), midasbook. Inc.Google Scholar
  2. 2.
    Dai Q, Lehnert R (2010) Impact of packet loss on the perceived video quality. IEEE INTERNETGoogle Scholar
  3. 3.
    Dunham MH, Kummer V (1999) Impact of mobility on transaction management. Proc Int Workshop Data Eng Wireless Mobile Access:14–21Google Scholar
  4. 4.
    Haejong J, Bonghwa H, Sangsoo K (2013) A study on smart traffic analysis and smart device speed measurement plaform. Lect Notes Electr EngGoogle Scholar
  5. 5.
    Hurricane WAN Emulation & Network Simulation, PacketStorm Communications, Inc., http://www.packetstorm.com/
  6. 6.
    ITU-R R.ec. BT.500-11 (2002) Methodology for the subjective assessment of the quality of television pictures. ITU-RGoogle Scholar
  7. 7.
    ITU-T J.143 User requirements for objective perceptual video quality measurements in digital cable television series J: transmission of television, sound programme and other multimedia signals measurement of the quality of service, 2000Google Scholar
  8. 8.
    ITU-T Rec. P.910 (1999) Subjective video quality assessment methods for multimedia applications. ITU-TGoogle Scholar
  9. 9.
    Joo HJ, Park YB (2005) Design of reliable query processing system in mobile database environments. KIPS Trans Part D:521–530Google Scholar
  10. 10.
    Kim H, Choi S (2010) A study on a QoS/QoE correlation model for QoE evaluation on IPTV service. IEEE ICACT’Google Scholar
  11. 11.
    Maier G, Schneider F, Feldmann A (2010) A first look at mobile hand-held device traffic. Passive Active Measurement, Zurich, Switzerland:161–170Google Scholar
  12. 12.
    National IT Industry Promotion Agency (2011) Weekly Technical TrendsGoogle Scholar
  13. 13.
    Sandvine Incorporated (2011) Global Internet Phenomena Report 2011. <www.sandvine.com>
  14. 14.
    Shumeli R, Hadar O, Huber R, Maltz M, Huber M (2008) Effects of an encoding scheme on perceived video quality transmitted over lossy internet protocol networks. IEEE Tr Broadcast 54(3):628–640CrossRefGoogle Scholar
  15. 15.
    Takahashi A, Hands D, Barriac V (2008) Standardization activities in the ITU for a QoE Assessment of IPTV. IEEE Commun Mag 46(2):78–84CrossRefGoogle Scholar
  16. 16.
    WAN and Application Optimization Guide, chapter 5 “Traffic classification”Google Scholar
  17. 17.
    Yamagishi K, Hayashi T (2008) Parametric packet-layer model for monitoring video quality of IPTV services. IEEE ICC’2008Google Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Computer Science & EngeneeringDongguk UniversitySeoulSouth Korea
  2. 2.Humanitas CollegeKyung Hee UniversitySeoulSouth Korea

Personalised recommendations