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Software radio ideally provides the opportunity to communicate with any radio communication standard by modifying only the software, without any modification to hardware components. However, taking into account the static behavior of current communications protocols, the spectrum efficiency optimization, and flexibility, the radio domain has become an important factor.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.
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.
Foreword xviiAlain BRAVOAcknowledgments xixIntroduction xxiPART 1. COGNITIVE RADIO 1Chapter 1. Introduction to Cognitive Radio 3Jacques PALICOT, Christophe MOY and Mérouane DEBBAH1.1. Joseph Mitola’s cognitive radio 31.2. Positioning 71.3. Spectrum management 91.4. A broader vision of CR 171.5. Difficulties of the cognitive cycle 21Chapter 2. Cognitive Terminals Toward Cognitive Networks 23Romain COUILLET and Mérouane DEBBAH2.1. Introduction 232.2. Intelligent terminal 252.3. Intelligent networks 322.4. Toward a compromise 352.5. Conclusion 40Chapter 3. Cognitive Radio Sensors 43Renaud SÉGUIER, Jacques PALICOT, Christophe MOY, Romain COUILLET and Mérouane DEBBAH3.1. Lower layer sensors 433.2. Intermediate layer sensors 573.3. Higher layer sensors 643.4. Conclusion 75Chapter 4. Decision Making and Learning 77Romain COUILLET, Mérouane DEBBAH, Hamidou TEMBINE, Wassim JOUINI and Christophe MOY4.1. Introduction 774.2. CR equipment: decision and/or learning 784.3. Decision design space 814.4. Decision making and learning from the equipment’s perspective 824.5. Decision making and learning from network perspective: game theory 964.6. Brief state of the art: classification of methods for dynamic configuration adaptation 1014.7. Conclusion 104Chapter 5. Cognitive Cycle Management 107Christophe MOY and Jacques PALICOT5.1. Introduction 1075.2. Cognitive radio equipment 1095.3. High-level design approach 1225.4. HDCRAM’s interfaces (APIs) 1275.5. Conclusion 139PART 2. SOFTWARE RADIO AS SUPPORT TECHNOLOGY 141Chapter 6. Introduction to Software Radio 143Jacques PALICOT and Christophe MOY6.1. Introduction 1436.2. Generalities 1456.3. Major organizations of software radio 1506.4. Hardware architectures 1536.5. Conclusion 159Chapter 7. Transmitter/Receiver Analog Front End 161Renaud LOISON, Raphaël GILLARD, Yves LOUËT and Gilles TOURNEUR7.1. Introduction 1617.2. Antennas 1617.3. Nonlinear amplification 1727.4. Converters 1857.5. Conclusion 205Chapter 8. Transmitter/Receiver Digital Front End 207Jacques PALICOT, Daniel LE GUENNEC and Christophe MOY8.1. Theoretical principles 2088.2. DFE functions 2108.3. Synchronization 2298.4. The CORDIC algorithm 2438.5. Conclusion 246Chapter 9. Processing of Nonlinearities 249Yves LOUËT and Jacques PALICOT9.1. Introduction 2499.2. Crest factor of the signals to be amplified 2509.3. Variation of crest factor in different contexts 2529.4. Methods for reducing nonlinearities 2649.5. Conclusion 269Chapter 10.Methodology and Tools 271Pierre LERAY, Christophe MOY and Sufi Tabassum GUL10.1. Introduction 27110.2. Methods to identify common operations 27310.3. Methods and design tools 28010.4. Conclusion 297Chapter 11. Implementation Platforms 299Amor NAFKHA, Pierre LERAY and Christophe MOY11.1. Introduction 29911.2. Software radio platform 29911.3. Hardware architectures 30011.4. Characterization of the implementation platform 30911.5. Qualitative assessment 31211.6. Architectures of software layers 31311.7. Some platform examples 31711.8. Conclusion 320Chapter 12. General Conclusion and Perspectives 32312.1. General conclusion 32312.2. Perspectives 323Appendix A. To Learn More 327Appendix B. SR and CR Projects 333Appendix C. International Activity in Standardization and Forums 339Appendix D. Research at European and International Levels 345Acronyms and Abbreviations 347Bibliography 355List of Authors 373Index 375