COMPARISON OF DATA-OPTIMIZED COST 231 HATA PATHLOSS MODEL USING CONSTANT (DC) OFFSET AND PATH PROFILE TUNING METHOD
ABSTRACT
Path loss models are essential for appropriate wireless network planning as they assist in interference estimations, frequency assignments, and the evaluation of cell parameters. For this purpose radio propagation models are quite useful. The determination of radio propagation characteristics for a given terrain is a key consideration in wireless network planning. Some of the most widely used models are the Empirical Propagation Models. The suitability of any propagation model depends on terrain clutter and other constraints. This paper addresses the suitability of the COST 231 Hata Model for network coverage prediction across the selected terrains in the main campus of University of Uyo in Akwa Ibom state. The frequency bands studied include Airtel GSM network at 2100 MHz. In order to obtain higher prediction accuracy, the CONSTANT DC OFFSET tuning method was compared with the PATH PROFILE tuning method. After tuning, minimal RMSE value was obtained for the optimised COST 231 Hata model.
Keywords: Pathloss, optimization, constant DC offset tuning, path profile tuning, root mean square error, COST 231 Hata model, standard deviation, received signal strength
TABLE OF
CONTENTS
DECLARATION
CERTIFICATION
ACKNOWLEDGEMENT
abstract
TABLE OF
CONTENTS
LIST OF FIGURES
LIST OF TABLES
Appreviations
CHAPTER ONE
INTRODUCTION1
1.1 BACKGROUND OF THE STUDY
1.2 STATEMENT OF THE PROBLEM
1.3 AIM AND OBJECTIVES
1.4 JUSTIFICATION OF STUDY
1.5 SCOPE AND LIMITATION OF STUDY
1.6 ARRANGEMENT
OF THE REPORT
CHAPTER TWO
LITERATURE REVIEW
2.3 INTRODUCTION
2.4 RELATED WORKS
2.3 RADIO WAVE PROPAGATION AND PROPAGATION
PREDICTION
2.4 DEFINITION
OF PATHLOSS
2.5 RADIO PROPAGATION CHANNEL
2.5.1 THE PROPAGATION CHANNEL14
2.5.2 THE RADIO CHANNEL
2.6 RADIO PROPAGATION MECHANISM15
2.6.1 DIFFRACTION15
2.6.2 SCATERRING16
2.6.3 REFLECTTION16
2.6.4 TRANSMISSION16
2.6.5 REFFRACTION17
2.6.6 FRESNEL ZONE18
2.7 RADIO PROPAGATION MODEL
2.7.1 STATISTICAL PROPAGATION MODELS
2.7.2 DETERMINISTIC
2.7.3 EMPIRICAL
1. FREE SPACE MODEL21
2. THE OKUMURA MODEL
3. THE LEE MODEL
4. THE HATA MODEL
5. COST 231 MODEL
6. STANDFORD UNIVERSITY
INTERIM (SUI) MODEL
2.8 MODEL TUNING APPROACHES
2.8.1 STATISTICAL TUNING
METHOD...........................................
2.8.2 DETERMINISTIC TUNING METHOD....................................
2.8.1 SEMI-STATISTICAL/ SEMI-DETERMINISTIC TUNING
METHOD
2.8.2 PER CELL TUNING
APPROACH............................................
CHAPTER THREE
METHODOLOgY
3.1 RESEARCH METHOD
3.2 THE PROPAGATION MODEL
3.2.1 COST 231 HATA PATHLOSS
MODEL.....................................
3.2.2 FREE SPACE PATH
LOSS.........................................................
3.3 MEASUREMENT ENVIRONMENT
3.4 MEASUREMENT TOOLS AND PROCEDURE
3.4.1 TOOLS USED FOR MEASUREMENT
SURVEY..................................
3.4.2 DATA COLLECTION SET
UP................................................................
3.4.3 DATA COLLECTION PROCEDURE.....................................................
CHAPTER four
RESULT AND SICUSSION
4.1 THE MEASURED
DATA...........................................................................................43-52
4.2 THE OPTIMISED COST-231 HATA
MODELS.................................................52
CHAPTER five
CONCLUSION AND RECOMMENDDATION
5.1
CONCLUSION......................................................................................................54
5.2
RECOMMENDATION............................................................................................55
REFERENCES........................................................................................................56-57
APPENDIX
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