Adaptive Weighting of Multi-taper Spectrum Sensing in Cognitive Radio Networks

Inhaltsverzeichnis (Table of Contents)

• English Abstract
• Acknowledgements
• Summary
• Chapter 1: Introduction
• 1.1 Cognitive Radio Networks
• 1.2 Spectrum Sensing Techniques
• 1.3 Motivation and Thesis Outline
• Chapter 2: Literature Review
• 2.1 Spectrum Sensing Techniques
• 2.2 Multi-taper Spectrum Sensing
• 2.3 Performance Evaluation of Multi-taper Spectrum Sensing
• Chapter 3: System Model and Proposed Methodology
• 3.1 System Model
• 3.2 Multi-taper Spectrum Sensing
• 3.3 Proposed Analytical Study
• Chapter 4: Simulation Results and Discussion
• 4.1 Simulation Setup
• 4.2 Performance Evaluation of the Proposed Method
• 4.3 Discussion and Comparison with Existing Techniques
• Chapter 5: Conclusion and Future Work

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This thesis investigates the performance enhancement of multi-taper spectrum sensing as a powerful technique for cognitive radio networks. The main objective is to derive reliable and computationally efficient mathematical expressions for the mean and variance of the probability density function (PDF) of the multi-taper spectrum sensing techniques. This analytical study is then evaluated through extensive simulations using MATLAB, considering various factors such as receiver operating characteristics, detection rate, and minimum required sample points.

• Performance enhancement of multi-taper spectrum sensing in cognitive radio networks.
• Derivation of mathematical expressions for the mean and variance of the PDF of multi-taper spectrum sensing.
• Evaluation of the proposed analytical study through simulations under different factors affecting the performance.
• Comparison of the proposed method with existing techniques, such as energy detection.
• Assessment of the robustness and reliability of the proposed model in cognitive radio networks.

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 provides an introduction to cognitive radio networks, highlighting the importance of spectrum sensing techniques and the motivation behind this research. Chapter 2 presents a comprehensive literature review on spectrum sensing techniques, focusing on multi-taper spectrum sensing and its performance evaluation. Chapter 3 outlines the system model and the proposed methodology, which includes the derivation of analytical expressions for the PDF of multi-taper spectrum sensing. Chapter 4 presents the simulation results and a discussion of the performance evaluation of the proposed method, including comparisons with existing techniques.

Schlüsselwörter (Keywords)

The primary keywords and focus topics of this thesis include cognitive radio networks, multi-taper detection, AWGN channel, Receiver Operating Characteristics (ROCs), and Probability Density Function (PDF).