Radio Engineering: From Software Radio to Cognitive Radio

( 3 )

Overview

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 ...

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Overview

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.

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Product Details

  • ISBN-13: 9781848212961
  • Publisher: Wiley
  • Publication date: 10/4/2011
  • Series: ISTE Series , #564
  • Edition number: 1
  • Pages: 378
  • Sales rank: 1,156,651
  • Product dimensions: 6.30 (w) x 9.30 (h) x 1.10 (d)

Table of Contents

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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  • Anonymous

    Posted February 20, 2013

    Caller

    All right. Thanks anway. Hangs up.

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    Posted February 19, 2013

    Radio rider

    Close. Those are good answers but not the ones im looking for.

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  • Anonymous

    Posted February 19, 2013

    Monkeyspider103

    Change the garbage?

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