Spectrum sensing techniques in cognitive radio

Inhaltsverzeichnis (Table of Contents)

• Introduction
• Introduction and Background
• Outline of the Book
• Introduction to cognitive radio
• Brief History
• Dynamic Spectrum Access (DSA)
• Cognitive Radio (CR)
• Cognitive Radio's Key Benefits
• Cognitive Radio Features
• Spectrum sensing in cognitive radio
• Issues and Challenges in Spectrum Sensing
• Channel Uncertainty
• Noise Uncertainty
• Aggregate Interference Uncertainty
• Sensing Interference Limit
• Different Spectrum Sensing Techniques
• Spectral overlap based energy sensing
• Centralized framework for time-domain sensing
• Analytical interference model
• Compressed sensing based spectrum sensing
• Overview of Compressed Sensing
• Sparsity
• Sensing Matrix
• Sparse Signal Recovery
• Uniqueness Conditions for Minimization Problems
• Mutual Coherence
• Restricted Isometry Property
• Measurement bounds
• Recovery Algorithms
• Compressed Wideband Sensing in Cooperative Cognitive Radio Networks
• Compressed Spectrum Sensing at Individual CRs
• Results
• Subcarrier and power allocation in OFDMA
• Introduction
• OFDM
• OFDM Transmitter
• OFDM Receiver
• OFDMA
• OFDMA Transmitter
• OFDMA Receiver
• Subcarrier Allocation
• system model and problem formulation
• sensible greedy approach

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This book explores the concept of cognitive radio and its application in spectrum sensing techniques, with a particular focus on increasing spectrum efficiency. The primary objective is to provide an overview of cognitive radio technology, analyze different spectrum sensing methods, and examine the challenges and limitations associated with them.

• Efficient spectrum usage in cognitive radio
• Spectrum sensing techniques for cognitive radio
• Energy detection and compressed sensing for cognitive radio
• Challenges and limitations of spectrum sensing
• Performance analysis and comparison of different sensing methods

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 provides a comprehensive introduction to the concept of cognitive radio and the pressing need for efficient spectrum usage. It outlines the main challenges in utilizing the limited spectrum resources and introduces the key aspects of cognitive radio technology, including spectrum sensing, analysis, and allocation. Chapter 2 delves deeper into the history and development of cognitive radio, outlining the principles of Dynamic Spectrum Access (DSA) and exploring the key benefits and features of cognitive radio technology. Chapter 3 focuses specifically on spectrum sensing in cognitive radio, highlighting the various issues and challenges associated with this process, such as channel uncertainty, noise uncertainty, and interference limitations. The chapter also introduces a variety of spectrum sensing techniques, laying the foundation for further analysis.

Schlüsselwörter (Keywords)

The primary focus of this book is on cognitive radio, spectrum sensing, dynamic spectrum access, energy detection, compressed sensing, wireless communication, and spectrum efficiency.