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Informationen zum Autor Robert C. Qiu, Department of Electrical and Computer Engineering, Tennessee Technological University, USA Professor Qiu is currently Director of the Wireless Networking System Laboratory at Tennessee Technological University, USA. He was Founder-CEO and President of Wiscom Technologies, Inc., manufacturing and marketing WCDMA chipsets. Wiscom was acquired by Intel in 2003. Prior to Wiscom, he worked for GTE Labs, Inc. (now Verizon), Waltham, MA, and Bell Labs, Lucent, Whippany, NJ. He holds 5 U.S. patents (another two pending) in WCDMA. He is co-editor of Ultra-Wideband Wireless Communications and Networks (Wiley), and? has authored over 80 technical (journal/conference) papers and contributed 6 book chapters. Professor Qiu has contributed to 3GPP and IEEE standards bodies, and delivered invited seminars to institutions including Princeton University and the U.S. Army Research Lab. Dr. Qiu serves as Associate Editor, IEEE Transaction on Vehicular Technology, International Journal of Sensor Networks and Wireless Communication and Mobile Computing. Klappentext 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* Companion website hosting MATLAB codes, and supplementary material including exercisesTopics 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. Zusammenfassung Presenting a step-by-step treatment of the topics to enable progressive learning, Cognitive Radio Communication and Networking examines basic mathematical tools before moving on to more advanced concepts and discussions about the future of the field. Inhaltsverzeichnis Preface xv 1 Introduction 1 1.1 Vision: "Big Data" 1 1.2 Cognitive Radio: System Concepts 2 1.3 Spectrum Sensing Interface and Data Structures 2 1.4 Mathematical Machinery 4 1.4.1 Convex Optimization 4 1.4.2 Game Theory 6 1.4.3 "Big Data" Modeled as Large Random Matrices 6 1.5 Sample Covariance Matrix 10 1.6 Large Sample Covariance Matrices of Spiked Population Models 11 1.7 Random Matrices and Noncommutative Random Variables 12 1.8 Principal Component Analysis 13 1.9 Generalized Likelihood Ratio Test (GLRT) 13 1.10 Bregman Divergence for Matrix Nearness 13 2 Spectrum Sensing: Basic Techniques 15 2.1 Challenges 15 2.2 Energy Detection: No Prior Information about Deterministic or Stochastic Signal 15...
