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PROJECT TOPIC: PERFORMANCE EVALUATION OF DYNAMIC PRIORITY CALL ADMISSION CONTROL ALGORITHM FOR WCDMA BASED 3G NETWORKS
Department: Electrical Electronics
AMOUNT: 10,000
FORMAT: MS WORD
PAGES: 84
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ABSTRACT
The wideband code division multiple access (WCDMA) based 3G cellular mobile wireless networks is expected to provide diverse range of multimedia services to mobile users with guaranteed quality of service (QoS). In order to provide the diverse quality of service required by the users of these networks, an effective radio resource management (RRM) is necessary. Radio resource management is responsible for the efficient and optimal utilization of network resources while providing QoS guarantees to various applications. Call admission control is a form of radio resource allocation scheme used for QoS provisioning in a network, which restricts access to the network based on resource availability, in order to prevent network congestion and consequent service degradation. This research focuses on how to maintain service continuity with quality of service guarantees and provide service differentiation to mobile user’s traffic profile by efficiently utilizing system resources. The services are divided into four traffic classes’ handoff real-time, handoff non-real time, new call real-time and new call non-real-time respectively, giving higher priority to handoff traffic classes. It uses an algorithm referred to as dynamic prioritized uplink call admission control (DP-CAC), an efficient tool that provides better performance for WCDMA based 3G network. Beyond system utilization, revenue and grade of service as the key performance indicators, this research work also considers the queuing delay and the call blocking/dropping probability of each traffic class. From the simulation results and analysis it is discovered that the new call non-real-time traffic class experiences greater queuing delay of 1.42E-11 at increasing traffic intensity compared to other traffic classes in the system. It is also discovered that at peak traffic intensity of 3.60E+03 handoff RT has a probability of 1.59E-02, handoff NRT a probability of 1.69E-02, new call RT a probability of 2.00E-02 and new call NRT a probability of 2.10E-02 showing that call blocking/dropping probability of handoff and new calls at high traffic condition is minimized. This is achieved because the model dynamically switches handoff traffic to its reserved channel, and allows new calls to go through the general server thereby providing service continuity to handoff traffic and fairness to new call traffic classes respectively.
TABLE OF CONTENT
Title Page
Approval Page
Declaration
Dedication
Acknowledgement
Abstract
Table of Content
List of Figures
List of Tables
Acronyms
CHAPTER ONE – INTRODUCTION
1.0 Background of Study
1.1 Problem Statement
1.2 Objectives of Study
1.3 Scope of Study
1.4 Methodology
1.5 Significance of the Study
1.6 Dissertation Outline
CHAPTER TWO - LITERATURE REVIEW
2.0 Evolution of Cellular Network
2.1 First Generation (1G) Networks
2.1.1 Physical Architecture
2.1.2 Technology
2.1.3 Modulation
2.1.4 Protocol
2.2 Second Generation (2G) Network
2.2.1 Frequency of Operation
2.2.2 Technology
2.2.3 Modulation
2.2.4 GSM System Physical Architecture
2.2.5 GSM Protocol Architecture
2.3 High Speed Circuit Switched Data
2.4 Packet Digital Cellular Systems 2.5G
2.4.1 GPRS Architecture
2.4.2 GPRS Protocol Architecture
2.5 Enhanced Data Rates for GSM Evolution (EDGE)
2.6 Third Generation Cellular Network (3G)
2.6.1 UMTS Radio Interface
2.6.2 UMTS Architecture
2.6.3 Universal Terrestrial Radio Access Network (UTRAN)
2.6.3.1 Node B
2.6.3.2 The Radio Network Controller
2.6.4 UMTS Core Network
2.6.5 UMTS Interfaces
2.6.6 UMTS Radio Interface Protocol Architecture
2.6.6.1 Layer 1
2.6.6.2 Layer 2
2.6.6.3 Layer 3
2.7 WCDMA Concepts
2.7.1 Power Control
2.7.2 Handoff
2.7.3 Channelization Codes
2.7.4 Scrambling Codes
2.7.5 Code Allocation
2.8 Radio Resource Management
2.8.1 Resource Allocation
2.8.1.1 Methods of Resource Allocation
2.8.2 Radio Resources
2.8.2.1 Types of Radio Channels
2.9 Call Admission Control
2.9.1 CAC Design Considerations
2.9.2 Multiple Service Types
2.10 Related Works
CHAPTER THREE – RESEARCH METHODOLOGY
3.0 Adopted Network
3.1 Adopted Network Architecture
3.2 Physical Model
3.3 DP-CAC Algorithm
CHAPTER FOUR – SIMULATION RESULT
4.0 Simulation Model
4.1 Results and Discussion
CHAPTER FIVE – CONCLUSION AND RECOMMENDATION
5.0 Conclusion
5.1 Contribution to Knowledge
5.2 Recommendation
References

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