|  | Grace, David / Zhang, Honggang (eds.)
Cognitive Communications
Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation
 1. Edition August 2012
122.- Euro
2012. 500 Pages, Hardcover
ISBN 978-1-119-95150-6 - John Wiley & Sons
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| Short description
This book presents a broad overview of the field of cognitive communications, encompassing cognitive radio and cognitive networks, as well as application areas such as cognitive acoustics. It explains the rationale for integrating different forms of distributed artificial intelligence (DAI) into cognitive communications, illustrating how different DAI based techniques can be used to self-organize the radio spectrum. Regulatory, policy, and economic issues are also explored. Researchers in both industry and academia will gain valuable insight into the state of the art of cognitive communications.
From the 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
9 Learning Techniques for Context Diagnosis and Prediction in Cognitive Communications 231
Aimilia Bantouna, Kostas Tsagkaris, Vera Stavroulaki, Giorgos Poulios and Panagiotis Demestichas
9.1 Introduction 231
9.2 Prediction 232
9.3 Future Problems 253
9.4 Conclusions 254
References 255
10 Social Behaviour in Cognitive Radio 257
Husheng Li
10.1 Introduction 257
10.2 Social Behaviour in Cognitive Radio 258
10.3 Social Network Analysis 267
10.4 Conclusions 281
References 281
PART IV REGULATORY POLICY AND ECONOMICS
11 Regulatory Policy and Economics of Cognitive Radio for Secondary Spectrum Access 285
Maziar Nekovee and Peter Anker
11.1 Introduction 285
11.2 Spectrum Regulations: Why and How? 286
11.3 Overview of Regulatory Bodies and Their Inter-Relation 287
11.4 Why Secondary Spectrum Access? 291
11.5 Candidate Bands for Secondary Access 293
11.6 Regulatory and Policy Issues 296
11.7 Technology Enablers and Options for Secondary Sharing 304
11.8 Economic Impact and Business Opportunities of SSA 308
11.9 Outlook 313
11.10 Conclusions 314
Acknowledgements 315
References 315
PART V IMPLEMENTATION
12 Cognitive Radio Networks in TV White Spaces 321
Maziar Nekovee and Dave Wisely
12.1 Introduction 321
12.2 Research and Development Challenges 324
12.3 Regulation and Standardization 335
12.4 Quantifying Spectrum Opportunities 343
12.5 Commercial Use Cases 346
12.6 Conclusions 354
Acknowledgement 355
References 355
13 Cognitive Femtocell Networks 359
Faisal Tariq and Laurence S. Dooley
13.1 Introduction 359
13.2 Femtocell Network Architecture 361
13.3 Interference Management Strategies 372
13.4 Self Organized Femtocell Networks (SOFN) 381
13.5 Future Research Directions 388
13.6 Conclusion 391
References 391
14 Cognitive Acoustics: A Way to Extend the Lifetime of Underwater Acoustic Sensor Networks 395
Lu Jin, Defeng (David) Huang, Lin Zou and Angela Ying Jun Zhang
14.1 The Concept of Cognitive Acoustics 395
14.2 Underwater Acoustic Communication Channel 397
14.3 Some Distinct Features of Cognitive Acoustics 401
14.4 Fundamentals of Reinforcement Learning 402
14.5 An Application Scenario: Underwater Acoustic Sensor Networks 404
14.6 Numerical Results 410
14.7 Conclusion 414
Acknowledgements 414
References 414
15 CMOS RF Transceiver Considerations for DSA 417
Mark S. Oude Alink, Eric A.M. Klumperink, Andre B.J. Kokkeler, Gerard J.M. Smit and Bram Nauta
15.1 Introduction 417
15.2 DSATransceiver Requirements 421
15.3 Mathematical Abstraction 423
15.4 Filters 426
15.5 Receiver Considerations and Implementation 428
15.6 Cognitive Radio Receivers 436
15.7 Transmitter Considerations and Implementation 449
15.8 Cognitive Radio Transmitters 451
15.9 Spectrum Sensing 456
15.10 Summary and Conclusions 462
References 462
Index 465
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