Cognitive Communications - Distributed Artificial Intelligence Dai, Regulatory Policy

Informationen zum Autor Dr. David Grace, University of York, UK David Grace is Head of Communications Research Group and Co-Director of York-Zhejiang Lab for Cognitive Radio and Green Communications. He received his MEng and DPhil degrees from York in 1993 and 1999 respectively. David's current research interests include cognitive radio and green communications, specifically spectrum assignment aspects, and cognitive networking. Dr. Honggang Zhang, Zhejiang University, China Honggang Zhang is a Full Professor at the Department of Information Science and Electronic Engineering, Zhejiang University, China. He received the Ph.D. degree in Electrical Engineering from Kagoshima University, Japan, in March 1999. Prior to that, he received the Bachelor of Engineering and Master of Engineering degrees, both in Electrical Engineering, from Huazhong University of Science & Technology (HUST), China, in 1989, and Lanzhou University of Technology, China, in 1992, respectively. Klappentext This book discusses in-depth the concept of distributed artificial intelligence (DAI) and its application to cognitive communicationsIn this book, the authors present an overview of cognitive communications, encompassing both cognitive radio and cognitive networks, and also other application areas such as cognitive acoustics. The book also explains the specific rationale for the integration of different forms of distributed artificial intelligence into cognitive communications, something which is often neglected in many forms of technical contributions available today. Furthermore, the chapters are divided into four disciplines: wireless communications, distributed artificial intelligence, regulatory policy and economics and implementation. The book contains contributions from leading experts (academia and industry) in the field.Key Features:* Covers the broader field of cognitive communications as a whole, addressing application to communication systems in general (e.g. cognitive acoustics and Distributed Artificial Intelligence (DAI)* Illustrates how different DAI based techniques can be used to self-organise the radio spectrum* Explores the regulatory, policy and economic issues of cognitive communications in the context of secondary spectrum access* Discusses application and implementation of cognitive communications techniques in different application areas (e.g. Cognitive Femtocell Networks (CFN)* Written by experts in the field from both academia and industryCognitive Communications will be an invaluable guide for research community (PhD students, researchers) in the areas of wireless communications, and development engineers involved in the design and development of mobile, portable and fixed wireless systems., wireless network design engineer. Undergraduate and postgraduate students on elective courses in electronic engineering or computer science, and the research and engineering community will also find this book of interest. Zusammenfassung This book discusses in-depth the concept of distributed artificial intelligence (DAI) and its application to cognitive communications In this book, the authors present an overview of cognitive communications, encompassing both cognitive radio and cognitive networks, and also other application areas such as cognitive acoustics. Inhaltsverzeichnis List of Figures xiii List of Tables xxv About the Editors xxvii Preface xxix PART I INTRODUCTION 1 Introduction to Cognitive Communications 3 David Grace 1.1 Introduction 3 1.2 A NewWay of Thinking 4 1.3 History of Cognitive Communications 6 1.4 Key Components of Cognitive Communications 8 1.5 Overview of the Rest of the Book 9 1.5.1 Part 2: Wireless Communications 10 1.5.2 Part 3: Application of Distributed Artificial Intelligence 11 1.5.3 Part 4: Regulatory Policy and Economics 1...

List of contents

List of Figures xiii
 
List of Tables xxv
 
About the Editors xxvii
 
Preface xxix
 
PART I INTRODUCTION
 
1 Introduction to Cognitive Communications 3
David Grace
 
1.1 Introduction 3
 
1.2 A NewWay of Thinking 4
 
1.3 History of Cognitive Communications 6
 
1.4 Key Components of Cognitive Communications 8
 
1.5 Overview of the Rest of the Book 9
 
1.6 Summary and Conclusion 14
 
References 14
 
PART II WIRELESS COMMUNICATIONS
 
2 Cognitive Radio and Networks for Heterogeneous Networking 19
Haesik Kim and Aarne MEURammelEURa
 

2.1 Introduction 19
 
2.2 Cognitive Radio for Heterogeneous Networks 26
 
2.3 Applying Cognitive Networks to Heterogeneous Networks 37
 
2.4 Performance Evaluation 47
 
2.5 Conclusion 50
 
References 50
 
3 Channel Assignment and Power Allocation Algorithms in Multi-Carrier-Based Cognitive Radio Environments 53
Musbah Shaat and Faouzi Bader
 
3.1 Introduction 53
 
3.2 The Orthogonal Frequency-Division Multiplexing (OFDM) Transmission Scheme 54
 
3.3 Resource Management in Non-Cognitive OFDM Environments 56
 
3.4 Resource Management in OFDM-Based Cognitive Radio Systems 58
 
3.5 Conclusions 88
 
References 89
 
4 Filter Bank Techniques for Multi-Carrier Cognitive Radio Systems 93
Yun Cui, Zhifeng Zhao, Rongpeng Li, Guangchao Zhang and Honggang Zhang
 
4.1 Introduction 93
 
4.2 Basic Features of Filter Banks-Based Multi-Carrier Techniques 94
 
4.3 Adaptive Threshold Enhanced Filter Bank for Spectrum Detection in IEEE 802.22 98
 
4.4 Transform Decomposition for Spectrum Interleaving in Multi-Carrier Cognitive Radio Systems 108
 
4.5 Remaining Problems in Filter Banks-Based Multi-Carrier Systems 115
 
4.6 Summary and Conclusion 117
 
References 117
 
5 Distributed Clustering of Cognitive Radio Networks: A Message-Passing Approach 119
Kareem E. Baddour, Oktay Ureten and Tricia J. Willink
 
5.1 Introduction 119
 
5.2 Clustering Techniques for Cognitive Radio Networks 122
 
5.3 A Message-Passing Clustering Approach Based on Affinity Propagation 124
 
5.4 Case Studies 126
 
5.5 Implementation Challenges 138
 
5.6 Conclusions 140
 
References 140
 
PART III APPLICATION OF DISTRIBUTED ARTIFICIAL INTELLIGENCE
 
6 Machine Learning Applied to Cognitive Communications 145
Aimilia Bantouna, Kostas Tsagkaris, Vera Stavroulaki, Panagiotis Demestichas and Giorgos Poulios
 
6.1 Introduction 145
 
6.2 State of the Art 146
 
6.3 Learning Techniques 148
 
6.4 Advantages and Disadvantages of Applying Machine Learning to Cognitive Radio Networks 158
 
6.5 Conclusions 159
 
Acknowledgement 160
 
References 160
 
7 Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks 163
Xianfu Chen, Zhifeng Zhao and Honggang Zhang
 
7.1 Introduction 163
 
7.2 Applying Reinforcement Learning to Distributed Power Control and Channel Access 165
 
7.3 Future Challenges 191
 
7.4 Conclusions 192
 
References 192
 
8 Reinforcement Learning-Based Cognitive Radio for Open Spectrum Access 195
Tao Jiang and David Grace
 
8.1 Open Spectrum Access 195
 
8.2 Reinforcement Learning-Based Spectrum Sharing in Open Spectrum Bands 196
 
8.3 Exploration Control and Efficient Exploration for Reinforcement Learning-Based Cognitive Radio 208
 
8.4 Conclusion 229
 
References 230
 
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Product details

• Authors: D Grace, David Grace, David (University of York) Zhang Grace, David Zhang Grace, Honggang Zhang
• Assisted by: Davi Grace (Editor), David Grace (Editor), David (University of York) Grace (Editor), Zhang (Editor), Zhang (Editor), Honggang Zhang (Editor), Honggang (Zhejiang University) Zhang (Editor), Zhang Honggang (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 31.08.2012
• EAN: 9781119951506
• ISBN: 978-1-119-95150-6
• No. of pages: 500
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Informatik, Netzwerke, Netzwerk, Networking, computer science, drahtlose kommunikation, Kommunikationsnetze, Mobile & Wireless Communications, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Communication Technology - Networks, Kommunikationsnetz