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Adaptive resource assignment along with overload control for the GSM/EGPRS networks

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Adaptive resource assignment along with overload control for the GSM/EGPRS networks

Zhang, Zhengliang (2003) Adaptive resource assignment along with overload control for the GSM/EGPRS networks. Masters thesis, Concordia University.

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Abstract

Enhanced General Packet Radio Services (EGPRS) is one of the proposals for third-generation (3G) wireless services. EGPRS is also the evolutionary path for GSM and IS-136 standards towards their next-generation wireless systems. The 3G services are categorized into the background, conversational, interactive and streaming services. Therefore, GSM towards 3G is staged into two phases. The phase one of EGPRS to provide Internet access services is known as General Packet Radio Service (GPRS). The phase two of EGPRS to provide 3G services integrates with the Enhanced Data rates for the GSM Evolution (EDGE). To provide the various 3G services and to achieve more efficient utilization of the frequency spectrum, our work is to focus on, the evolution of the system capacity and performance for the GSM/EGPRS networks. Therefore, an Adaptive Resource Assignment along with Overload Control (ARAOC) algorithm has been developed while integrating adaptive channel allocation, call admission control, frequency hopping and new congestion control schemes. Our simulation results show that this algorithm can greatly improve the system capacity and performance as well as the QoS for users. The influence of the variable parameters of user data rates, channel buffer size, and channel assignment parameter to the system capacity and performance, will be investigated.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Zhang, Zhengliang
Pagination:xiv, 117 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:2003
Thesis Supervisor(s):Elhakeem, Ahmed K.
Identification Number:TK 5103.482 Z43 2003
ID Code:2210
Deposited By: Concordia University Library
Deposited On:27 Aug 2009 17:26
Last Modified:13 Jul 2020 19:51
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