The author presents a unified treatment of this highly interdisciplinary topic to help define the notion of cognitive radio. The book begins with addressing issues such as the fundamental system concept and basic mathematical tools such as spectrum sensing and machine learning, before moving on to more advanced concepts and discussions about the future of cognitive radio. From the fundamentals in spectrum sensing to the applications of cognitive algorithms to radio communications, and discussion of radio platforms and testbeds to show the applicability of the theory to practice, the author aims to provide an introduction to a fast moving topic for students and researchers seeking to develop a thorough understanding of cognitive radio networks.

Examines basic mathematical tools before moving on to more advanced concepts and discussions about the future of cognitive radio
Describe the fundamentals of cognitive radio, providing a step by step treatment of the topics to enable progressive learning
Includes questions, exercises and suggestions for extra reading at the end of each chapter

Topics covered in the book include: Spectrum Sensing: Basic Techniques; Cooperative Spectrum Sensing Wideband Spectrum Sensing; Agile Transmission Techniques: Orthogonal Frequency Division Multiplexing Multiple Input Multiple Output for Cognitive Radio; Convex Optimization for Cognitive Radio; Cognitive Core (I): Algorithms for Reasoning and Learning; Cognitive Core (II): Game Theory; Cognitive Radio Network IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard, and Radio Platforms and Testbeds.

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Yes, you can access Cognitive Radio Communication and Networking by Robert Caiming Qiu,Zhen Hu,Husheng Li,Michael C. Wicks in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mobile & Wireless Communications. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Technology & Engineering

Subtopic

Mobile & Wireless Communications

Index

Technology & Engineering

Cover
Title Page
Copyright
Dedication
Preface
Chapter 1: Introduction
Chapter 2: Spectrum Sensing: Basic Techniques
Chapter 3: Classical Detection
Chapter 4: Hypothesis Detection of Noncommutative Random Matrices
Chapter 5: Large Random Matrices
Chapter 6: Convex Optimization
Chapter 7: Machine Learning
Chapter 8: Agile Transmission Techniques (I): Multiple Input Multiple Output
Chapter 9: Agile Transmission Techniques (II): Orthogonal Frequency Division Multiplexing
Chapter 10: Game Theory
Chapter 11: Cognitive Radio Network
Chapter 12: Cognitive Radio Network as Sensors
Appendix A: Matrix Analysis
References
Index

About this book

Frequently asked questions

Information

Table of contents