From this thinking appeared the cognitive radio paradigm. This evolution is today inescapable in the modern radio communication world. It provides an autonomous behavior to the equipment and therefore the adaptation of communication parameters to better match their needs.
This collective work provides engineers, researchers and radio designers with the necessary information from mathematical analysis and hardware architectures to design methodology and tools, running platforms and standardization in order to understand this new cognitive radio domain.
Foreword xvii
Alain BRAVO
Acknowledgments xix
Introduction xxi
PART 1. COGNITIVE RADIO 1
Chapter 1. Introduction to Cognitive Radio 3
Jacques PALICOT, Christophe MOY and Mérouane DEBBAH
1.1. Joseph Mitola’s cognitive radio 3
1.2. Positioning 7
1.3. Spectrum management 9
1.4. A broader vision of CR 17
1.5. Difficulties of the cognitive cycle 21
Chapter 2. Cognitive Terminals Toward Cognitive Networks 23
Romain COUILLET and Mérouane DEBBAH
2.1. Introduction 23
2.2. Intelligent terminal 25
2.3. Intelligent networks 32
2.4. Toward a compromise 35
2.5. Conclusion 40
Chapter 3. Cognitive Radio Sensors 43
Renaud SÉGUIER, Jacques PALICOT, Christophe MOY, Romain COUILLET and Mérouane DEBBAH
3.1. Lower layer sensors 43
3.2. Intermediate layer sensors 57
3.3. Higher layer sensors 64
3.4. Conclusion 75
Chapter 4. Decision Making and Learning 77
Romain COUILLET, Mérouane DEBBAH, Hamidou TEMBINE, Wassim JOUINI and Christophe MOY
4.1. Introduction 77
4.2. CR equipment: decision and/or learning 78
4.3. Decision design space 81
4.4. Decision making and learning from the equipment’s perspective 82
4.5. Decision making and learning from network perspective: game theory 96
4.6. Brief state of the art: classification of methods for dynamic configuration adaptation 101
4.7. Conclusion 104
Chapter 5. Cognitive Cycle Management 107
Christophe MOY and Jacques PALICOT
5.1. Introduction 107
5.2. Cognitive radio equipment 109
5.3. High-level design approach 122
5.4. HDCRAM’s interfaces (APIs) 127
5.5. Conclusion 139
PART 2. SOFTWARE RADIO AS SUPPORT TECHNOLOGY 141
Chapter 6. Introduction to Software Radio 143
Jacques PALICOT and Christophe MOY
6.1. Introduction 143
6.2. Generalities 145
6.3. Major organizations of software radio 150
6.4. Hardware architectures 153
6.5. Conclusion 159
Chapter 7. Transmitter/Receiver Analog Front End 161
Renaud LOISON, Raphaël GILLARD, Yves LOUËT and Gilles TOURNEUR
7.1. Introduction 161
7.2. Antennas 161
7.3. Nonlinear amplification 172
7.4. Converters 185
7.5. Conclusion 205
Chapter 8. Transmitter/Receiver Digital Front End 207
Jacques PALICOT, Daniel LE GUENNEC and Christophe MOY
8.1. Theoretical principles 208
8.2. DFE functions 210
8.3. Synchronization 229
8.4. The CORDIC algorithm 243
8.5. Conclusion 246
Chapter 9. Processing of Nonlinearities 249
Yves LOUËT and Jacques PALICOT
9.1. Introduction 249
9.2. Crest factor of the signals to be amplified 250
9.3. Variation of crest factor in different contexts 252
9.4. Methods for reducing nonlinearities 264
9.5. Conclusion 269
Chapter 10.Methodology and Tools 271
Pierre LERAY, Christophe MOY and Sufi Tabassum GUL
10.1. Introduction 271
10.2. Methods to identify common operations 273
10.3. Methods and design tools 280
10.4. Conclusion 297
Chapter 11. Implementation Platforms 299
Amor NAFKHA, Pierre LERAY and Christophe MOY
11.1. Introduction 299
11.2. Software radio platform 299
11.3. Hardware architectures 300
11.4. Characterization of the implementation platform 309
11.5. Qualitative assessment 312
11.6. Architectures of software layers 313
11.7. Some platform examples 317
11.8. Conclusion 320
Chapter 12. General Conclusion and Perspectives 323
12.1. General conclusion 323
12.2. Perspectives 323
Appendix A. To Learn More 327
Appendix B. SR and CR Projects 333
Appendix C. International Activity in Standardization and Forums 339
Appendix D. Research at European and International Levels 345
Acronyms and Abbreviations 347
Bibliography 355
List of Authors 373
Index 375
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Jacques Palicot is Professor at Supélec in France. He leads the Signal Communications and Embedded Electronics Research Team on the Rennes Campuses of Supélec. His research interests concern future radio communications systems based on software radio and cognitive radio concepts.