Date of Award

9-16-2015

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Systems Engineering

First Advisor

Seshadri Mohan

Abstract

Of the various types of VoIP handling protocols, the Session Initiation Protocol (SIP) is an application layer protocol considered to be the most commonly used signaling protocol in the VoIP services industry. It is used for the purpose of creation, modification, and termination of sessions that contain multimedia streams at the endpoints known as User Agents (UA). SIP was standardized by the Internet Engineering Task Force (IETF) and is designed to work with other IETF Internet protocols to establish a full multimedia session. SIP is also the basis for the operation of IP Multimedia Subsystem (IMS), which forms the essential infrastructure for service offering in 4G LTE or Long Term Evolution wireless networks. IMS facilitates Voice Over LTE (VoLTE) and is expected to play an important role in next generation wireless networks as well. This work considers VoIP Key Performance Indicators (KPIs) and focuses on studying the overall requirements for improving Quality of Service (QoS). The objective is to study the effects of KPIs on VoIP Calls’ QoS for both SIP and RTP, with a view on the effects of adding a play-out buffer on KPIs. Thus the central theme and quest of this work is finding an ideal buffer size that will simultaneously satisfy multiple KPIs and create a balanced and effective system. With respect to SIP, we also look into analyzing and validating the SIP dynamic Priority scheme proposed by [12]. The scheme is implemented using open source VoIP Call generators and packet analyzers. Determination of the ideal range of arrival rates will help determine the effectiveness of the SIP dynamic priority scheme. The thesis studies and analyzes the performance of the dynamic priority scheme for offering IMS-based services such as push-to-talk (PTT), voice and video conferencing, IPTV and others. This work is especially relevant to complex systems in which variables of KPIs have a significant impact on QoS. The results will help network engineers in providing well-balanced systems where users can enjoy excellent VoIP call quality.

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