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
Link To Document