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Department of Computer Science

Analytical models of IP traffic on UMTS mobile networks

Abstract

dc:description.abstract

Mobile communications networks are becoming ubiquitous worldwide. Such networks have achieved high rates of success in the area of connected voice traffic. An example of such a network is the Global System Mobile (GSM) cellular network. It is apparent that these networks are also able to offer packet-switched services such as IP for Internet and email browsing. The GPRS extension to GSM networks is a working example of this. However, it is necessary to completely overhaul such Second Generation (2G) networks in order to provide high data rates for packet services. In this dissertation we investigated the performance of IP traffic over UMTS networks. UMTS is a Third Generation (3G) replacement for GSM technologies and consists of a land-based Core Network and a UMTS Radio Access Network (UTRAN). UMTS networks utilise Code Division Multiple Access (CDMA) technologies to multiplex the radio resources available to the network. CDMA allows for all users of the network to transmit simultaneously, reducing the need to multiplex using time (TDMA) or frequency (FDMA). CDMA channels do however experience multipath fading as well as multiple access interference. Our investigation involved deriving two analytical models, one that would model the queueing and processing on the CN, and one that would model the transmission errors on the UTRAN.

Degree

thesis:*
Grantor
Department of Computer Science
Year dc:date.issued
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Landman, Jesse

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/40235
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/40235

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
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citation

Landman, Jesse. Analytical models of IP traffic on UMTS mobile networks. Department of Computer Science, 2005. http://hdl.handle.net/11427/40235