Joseph Mitola

Cognitive Radio w/website

• Gebundenes Buch

Produktbeschreibung

Written by the man who coined the term "Cognitive Radio" to represent the integration of computational intelligence into software-defined radio, Cognitive Radio Architecture makes the design principles of cognitive radio (CR) more accessible to researchers and students of teleinformatics and to wireless communications systems developers. This groundbreaking text addresses more of the practice and less of the theory of CR, but with a thematic focus on a CR architecture that integrates across disparate disciplines. An accompanying CD-ROM contains the Java source code and compiled files for applications developed in the book. In addition, for the convenience of the reader, web resources introducing key concepts such as speech applications programmer interfaces (APIs) are included.

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An exciting new technology, described by the one who invented it

This is the first book dedicated to cognitive radio, a promising new technology that is poised to revolutionize the telecommunications industry with increased wireless flexibility. Cognitive radio technology integrates computational intelligence into software-defined radio for embedded intelligent agents that adapt to RF environments and user needs. Using this technology, users can more fully exploit the radio spectrum and services available from wireless connectivity. For example, an attempt to send a 10MB e-mail in a zone where carrier charges are high might cause a cognitive radio to alert its user and suggest waiting until getting to the office to use the LAN instead. Cognitive Radio Architecture examines an "ideal cognitive radio" that features autonomous machine learning, computer vision, and spoken or written language perception.

The author of this exciting new book is the inventor of the technology and a leader in the field. Following his step-by-step introduction, readers can start building aware/adaptive radios and then make steps towards cognitive radio. After an introduction to adaptive, aware, and cognitive radio, the author develops three major themes in three sections:
_ Foundations
_ Radio Competence
_ User Domain Competence

The book makes the design principles of cognitive radio more accessible to students of teleinformatics, as well as to wireless communications systems developers. It therefore embraces the practice of cognitive radio as well as the theory. In particular, the publication develops a cognitive architecture that integrates disparate disciplines, including autonomous machine learning, computer vision, and language perception technologies. An accompanying CD-ROM contains the Java source code and compiled class files for applications developed in the book. In addition, for the convenience of the reader, Web resources introducing key concepts such as speech applications programmer interfaces (APIs) are included.

Although still five to ten years away from full deployment, telecommunications giants and research labs around the world are already dedicating R&D to this new technology. Telecommunications engineers as well as advanced undergraduate and graduate students can learn the promising possibilities of this innovative technology from the one who invented it.

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Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 488
• Erscheinungstermin: 1. August 2006
• Englisch
• Abmessung: 240mm x 161mm x 31mm
• Gewicht: 835g
• ISBN-13: 9780471742449
• ISBN-10: 0471742449
• Artikelnr.: 20836762

Autorenporträt

Dr. JOSEPH MITOLA III is a Consulting Scientist with The MITRE Corporation. A pioneer in telecommunications, Dr. Mitola published the first paper on software radios in 1992 and continues to write and teach extensively on this technology. His current research interests center on enhancing the computational intelligence of software radios to develop cognitive radios.

Inhaltsangabe

Preface ix
Acknowledgments xi
1 Introduction 1
1.1 Perception 3
1.2 Aware, Adaptive, or Cognitive? 5
1.3 Adaptation 8
1.4 Cognition 10
1.5 Cognitive Radio and Public Policy 15
1.6 Are We There Yet? 16
1.7 Key Questions 18
1.8 Organization of the Text 19
1.9 Exercises 20
I Foundations
2 Technical Overview 25
2.1 The iCR Has Seven Capabilities 25
2.2 Sensing and Perception: What and Whom to Perceive 27
2.3 Ideal Cognitive Radio (iCR) Platform Evolution 41
2.4 The serModel of Machine Learning for iCR 47
2.5 Architecture 51
2.6 Synoptic iCR Functional Definition 56
2.7 Exercises 56
3 Evolving From Aware and Adaptive to Cognitive Radio 58
3.1 Revolution or Evolution? 58
3.2 Moving Day 59
3.3 Developing AML for Genie 62
3.4 Learning Etiquette 73
3.5 Value Proposition for AML in AACR 75
3.6 Exercises 79
4 Autonomous Machine Learning for AACR 80
4.1 Machine Learning Framework 80
4.2 Histogram as a Discovery Algorithm 85
4.3 User-Domain Learning 88
4.4 Radio-Domain Learning 97
4.5 Reinforcement, Extension, and Constraint Discovery 108
4.6 Learning Strategies 118
4.7 Exercises 121
5 Cognitive Radio Architecture 123
5.1 CRA I: Functions, Components, and Design Rules 124
5.2 CRA II: The Cognition Cycle 134
5.3 CRA III: The Inference Hierarchy 138
5.4 CRA IV: Architecture Maps 143
5.5 CRA V: Building the CRA on SDR Architectures 144
5.6 Cognition Architecture Research Topics 152
5.7 Exercises 152
II Radio-Domain Competence
6 Radio-Domain Use Cases 157
6.1 Radio Use-Case Metrics 157
6.2 FCC Unused TV Spectrum Use Case 163
6.3 Demand Shaping Use Case 170
6.4 Military Market Segment Use Cases 176
6.5 RF Knowledge That Saves Lives 177
6.6 Prognostication 180
6.7 Exercises 180
7 Radio Knowledge 183
7.1 Radio-Domain Overview 183
7.2 Knowledge of the HF Radio Band 195
7.3 Knowledge of the LVHF Radio Band 208
7.4 Radio Noise and Interference 224
7.5 Knowledge of the VHF Radio Band 228
7.6 Knowledge of the UHF Radio Band 237
7.7 Knowledge of the SHF Radio Band 246
7.8 Knowledge of EHF, Terahertz, and Free Space Optics 256
7.9 Satellite Communications Knowledge 260
7.10 Cross-Band/Mode Knowledge 267
8 Implementing Radio-Domain Skills 275
8.1 Cognitive Radio Architecture Structures Radio Skills 276
8.2 Embedded Databases Enable Skills 281
8.3 Production Systems Enable Skills 288
8.4 Embedded Inference Enables Skills 291
8.5 Radio Knowledge Objects (RKOs) 296
8.6 Evolving Skills Via RKO and RDH 303
8.7 Implementing Spatial Skills 305
8.8 Generalized 318
8.9 Microworlds 323
8.10 Radio Skills Conclusions 325
8.11 Exercises 326
III User-Domain Competence
9 User-Domain Use Cases 331
9.1 Emergency Companion Use Case 331
9.2 Office Assistant Use Case 333
9.3 Cognitive Assistants for Wireless 334
9.4 User Skill Enhancements 343
9.5 Exercises 346
10 User-Domain Knowledge 347
10.1 Users' Natural Language Expression 348
10.2 Acoustic Sensory Perception 352
10.3 Visual Sensory Perception 359
10.4 Audio-Visual Integration 363
10.5 Lexical Conceptual Semantics (LCS) 366
10.6 Other Sensors 369
10.7 Architecture Implications 369
10.8 Exercises 369
11 Implementing User-Domain Skills 372
11.1 Integrating Cognition 373
11.2 Autonomous Extensibility 382
11.3 Supervised Extensibility 401
11.4 Uncertainty 407
11.5 Learning Requires Grounding 417
11.6 Sleep Cycles 423
11.7 Pitfalls and Opportunities 424
11.8 Exercises 426
12 Semantic Radio 428
12.1 CYC, eBusiness Solutions, and the Semantic Web 428
12.2 CYC Case Study 429
12.3 CYC Implications 437
12.4 Web Languages 439
12.5 Radio XML 439
12.6 Conclusions 443
Glossary 444
References 451
Index 467