DEVELOPMENT OF AN IMPROVED DYNAMIC ALGORITHM TOENHANCE ENERGY SAVING IN LONG TERM EVOLUTION MOBILE ACCESS NETWORKS


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TABLE OF CONTENTS

TITLE PAGE
ABSTRACT
TABLE OF CONTENTS
LIST OF ABBREVIATIONS

CHAPTER ONE: INTRODUCTION        
BACKGROUND
1.2       STATEMENT OF PROBLEM
1.3       AIM AND OBJECTIVES
1.4       METHODOLOGY
1.5       SCOPE
1.6       SIGNIFICANT CONTRIBUTIONS
1.7       DISSERTATION ORGANIZATION

CHAPTER TWO: LITERATURE REVIEW        
2.1       INTRODUCTION
2.2       REVIEW OF FUNDAMENTAL CONCEPTS
2.2.1    LTE Radio Access Scheme
2.2.2    Load Utilization Factor
2.2.3    Architecture and Power Consumption of eNodeBs
2.2.4    Multi-Cell Cooperation in Cellular Networks
2.2.5    Self-Organizing Networks
2.2.6    Power Consumption Model
2.2.7    Energy-Load Proportionality Constant
2.2.8    Power Consumption Parameters
2.2.9    Blocking Probability
2.2.10  Load Curve
2.2.11  Review of Existing Algorithms
2.1.11.1 Always-On Algorithm
2.1.11.2 Sleep-Wake Algorithm
2.3       REVIEW OF SIMILAR RESEARCH WORKS

CHAPTER THREE: MATERIALS AND METHODS    
3.1       INTRODUCTION
3.2       MODELING THE LTE CELLULAR ENVIRONMENT
3.2.1    Cell Structure
3.2.2    Location of eNodeBs
3.2.3    Mobile Stations
3.2.4    Adjacent eNodeBs
3.3       DEVELOPMENT OF THE ENERGY SAVING MODEL
3.3.1    Quality of Service Constraint
3.4       PROPOSED DYNAMIC ENERGY SAVING ALGORITHM
3.4.1    Energy Estimation Algorithm
3.4.2    Load/Traffic Sharing Algorithm
3.4.3    Dynamic Energy Saving Algorithm
3.4.4    The Developed MATLAB GUI for Energy Saving Analysis
3.5       SIMULATION SETUP

CHAPTER FOUR: RESULTS AND DISCUSSIONS     
4.1       INTRODUCTION
4.2       MOBILE STATION DISTRIBUTION FACTOR
4.3       INSTANTANEOUS POWER CONSUMPTION
4.4       ENERGY CONSUMPTION
4.5       DAILY ENERGY SAVING
4.6       VALIDATION

CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIONS        
5.1       INTRODUCTION
5.2       SUMMARY
5.3       CONCLUSION
5.4       LIMITATIONS
5.5       RECOMMENDATIONS FOR FURTHER WORK
REFERENCES
APPENDICES



CHAPTER ONE

INTRODUCTION


1.1              BACKGROUND

The information and communication technology (ICT) systems consume up to 10% of the world‟s energy accounting for about 2% of global  emissions(Marsan et al., 2009). The telecommunications network is one of the main energy consumer of the information and communication technology sector(Yigitel et al., 2014). About 37% of the total emissionsfrom ICT devices and systems are due to the telecommunication infrastructure and devices (Oh and Krishnamachari, 2010), where about a tenth of the estimate is due to cellularmobile communication networks (Son et al., 2013). This accounts for about 0.2% of the global  emissions and 1% of the world energy consumption(Richter et al., 2009). The mobile cellular communications sector alone consumes approximately 60 billion kWh per year(Dufková et al., 2010).Correspondingly, energy consumption as well as footprint of mobile cellular networks are increasing at an alarming rate due to the exponential growth in mobile data traffic (Wu et al., 2015). A projection showing the exponential growth in global mobile data trafficis illustrated in Figure 1.1(“Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012-2017," 2013).....

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