Electromagnetic radiation (EM), the disturbance in space that propagates by itself in the space has both electric and magnetic field components that oscillate in perpendicular to each other in phase and to the direction of energy. Spectrum scarcity is one of the biggest challenges that the modern world is facing. The efficient use of available licensed spectrum is becoming more and more critical with increasing demand and usage of the radio spectrum. Different researches show that the usage is not uniform throughout the licensed spectrum rather it is heavy in certain parts of the spectrum and has portions that are utilized inefficiently. Some researchers even claim that more than 70% of the licensed frequency band is not in use, most of the time…
Contents
CHAPTER 1
INTRODUCTION
1.1. SPECTRUM EFFICIENCY TASKS OR COGNITIVE TASKS
1.2. RESEARCH CONTEXT
1.3. RESEARCH OBJECTIVES
1.4 THESIS OUTLINE
CHAPTER 2
LITERATURE REVIEW
2.1. BACKGROUND AND HISTORY OF COGNITIVE RADIOS
2.2. CHARACTERISTICS OF COGNITIVE RADIOS
2.2.1. COGNITIVE CAPABILITY
2.2.2. RE-CONFIGURABILITY
CHAPTER 3
GENETIC ALGORITHMS (AN OVERVIEW)
3.1. SOME OTHER OPTIMIZATION TECHNIQUES
3.2. WHY GENETIC ALGORITHMS
3.3. METHODOLOGY OF GENETIC ALGORITHMS
3.3.1. OUTLINE FOR THE GENETIC ALGORITHMS
3.3.2. CHROMOSOME DEFINITION
3.3.3. THE SEARCH SPACE
3.3.4. THE FITNESS FUNCTION
3.3.5. OPERATIONS IN GENETIC ALGORITHMS
3.3.6. THE CROSSOVER AND MUTATION OPERATIONS
3.4. GENETIC ALGORITHMS IN THE RADIOS
3.4.1. CHROMOSOME DEFINITION FOR THE RADIO
3.4.2. FITNESS FUNCTION DEFINITION FOR THE RADIO
3.4.3. FITNESS EVALUATION FOR THE RADIO
3.5. THE MULTI-CRITERIA OPTIMIZATION
3.5. THE DECISION-MAKING
CHAPTER 4
RESEARCH METHODOLOGY
4.1. THE CHROMOSOME
4.1.1. THE FREQUENCY
4.1.2. THE POWER
4.1.3. THE BIT ERROR RATE
4.1.4. THE MODULATION SCHEME
4.1,5. THE CHROMOSOME STRUCTURE
4.2. THE FIRST POPULATION CHROMOSOMES GENERATION
4.3. THE FITNESS FUNCTION
4.3.1. FITNESS OF THE FREQUENCY GENE
4.3.2. FITNESS OF THE POWER GENE
4.3.3. FITNESS OF THE BER GENE
4.3.4. FITNESS OF THE MODULATION GENE
4.3.5. TOTAL FITNESS
4.4. METHOD 1
4.4.1. SLECTION
4.4.2. CROSSOVER
4.4.3. MUTATION
4.4.4. FITNESS CALCULATION
4.4.5. NEW POPULATION GENERATION
4.5. THE OPTIOMAL SOLUTION
4.6. METNOD 2
4.6.1. ELITISM
4.6.2. CROSSOVER
4.6.3. MUTATION
4.7. MATLAB RESULTS
4.8. CONCLUSIONS & BEHAVIOR OF G.A.S
4.9.. FVISION IN FUTURE
REFFERENCES
Author: Mubbashar Altaf Khan, Sohaib Ahmad
Source: Blekinge Institute of Technology
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