• DocumentCode
    711068
  • Title

    C23. Self-healing autonomic networking for voice quality in VoIP and wireless networks

  • Author

    El-Hennawey, Samy

  • Author_Institution
    Fac. of Eng., MSA Univ., Cairo, Egypt
  • fYear
    2015
  • fDate
    24-26 March 2015
  • Firstpage
    297
  • Lastpage
    304
  • Abstract
    This paper provides a novel approach for automatically enhancing voice quality with reference to user´s Quality of Experience (QoE). It is based on in-service quality assessment in Voice over the Internet Protocol (VoIP). The proposed scheme includes three phases: (1) automatic user quality assessment with diagnostic features, (2) fault localization in case of user quality experience degradation, and (3) dispatch control for quality recovery. In the first phase, QoS is measured using the Speech Quality Monitor (SQM) that provides the estimated overall quality mean opinion score (MOS) as well as identifying the main impairment that causes the degradation leading MOS to be below certain level. Based on the root cause of the degradation, the network fault is located in the second phase through the global network Quality of Service (QoS) monitoring. Finally in the third phase, control is dispatched through the QoS control, maintaining quality. Wireless networks are also considered. This way, the voice is kept at high quality.
  • Keywords
    Internet telephony; quality of experience; quality of service; speech processing; MOS; QoE; QoS control; SQM; VoIP; automatic user quality assessment; diagnostic features; dispatch control; fault localization; in-service quality assessment; mean opinion score; network fault; quality of experience; quality of service; quality recovery; self-healing autonomic networking; speech quality monitor; user quality experience degradation; voice over the Internet protocol; voice quality; wireless networks; Lead; Monitoring; Noise; Quality of service; Autonomic Networking; MOS; QoE; QoS; VoIP; Voice Quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference (NRSC), 2015 32nd National
  • Conference_Location
    6th of October City
  • Print_ISBN
    978-1-4799-9945-3
  • Type

    conf

  • DOI
    10.1109/NRSC.2015.7117842
  • Filename
    7117842