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E-raamat: Cognitive Radio Architecture - The Engineering Foundations of Radio XML plusCD: The Engineering Foundations of Radio XML [Wiley Online]

(Consulting Scientist, The MITRE Corporation)
  • Formaat: 488 pages
  • Ilmumisaeg: 03-Oct-2006
  • Kirjastus: Wiley-Interscience
  • ISBN-10: 471773735
  • ISBN-13: 9780471773733
Teised raamatud teemal:
  • Wiley Online
  • Hind: 169,17 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Formaat: 488 pages
  • Ilmumisaeg: 03-Oct-2006
  • Kirjastus: Wiley-Interscience
  • ISBN-10: 471773735
  • ISBN-13: 9780471773733
Teised raamatud teemal:
Mitola, a consulting scientist and pioneer in the field, here offers the first full-length book dedicated to cognitive radio, a field which integrates computational intelligence and software-define radio for embedded intelligent agents that adapt to RF environments and user needs. Mitola asserts the technology is ready and gives a technical overview of the capabilities, then describes the process of evolving from aware and adaptive to cognitive radio, autonomous machine learning for AACR, and cognitive radio architecture. He then describes radio-domain competence with use cases, radio knowledge, and implementation of radio-domain skills, while user-domain competence topics include cases, knowledge, implementing skills and semantic radio. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

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.

Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

PREFACE ix
ACKNOWLEDGMENTS xi
1 INTRODUCTION 1(24)
1.1 Perception
3(2)
1.2 Aware, Adaptive, or Cognitive?
5(3)
1.3 Adaptation
8(2)
1.4 Cognition
10(5)
1.5 Cognitive Radio and Public Policy
15(1)
1.6 Are We There Yet?
16(2)
1.7 Key Questions
18(1)
1.8 Organization of the Text
19(1)
1.9 Exercises
20(5)
I FOUNDATIONS
2 TECHNICAL OVERVIEW
25(33)
2.1 The iCR Has Seven Capabilities
25(2)
2.2 Sensing and Perception: What and Whom to Perceive
27(14)
2.3 Ideal Cognitive Radio (iCR) Platform Evolution
41(6)
2.4 The serModel of Machine Learning for iCR
47(4)
2.5 Architecture
51(5)
2.6 Synoptic iCR Functional Definition
56(1)
2.7 Exercises
56(2)
3 EVOLVING FROM AWARE AND ADAPTIVE TO COGNITIVE RADIO
58(273)
3.1 Revolution or Evolution?
58(1)
3.2 Moving Day
59(3)
3.3 Developing AML for Genie
62(11)
3.4 Learning Etiquette
73(2)
3.5 Value Proposition for AML in AACR
75(4)
3.6 Exercises
79(1)
4 AUTONOMOUS MACHINE LEARNING FOR AACR
80(43)
4.1 Machine Learning Framework
80(5)
4.2 Histogram as a Discovery Algorithm
85(3)
4.3 User-Domain Learning
88(9)
4.4 Radio-Domain Learning
97(11)
4.5 Reinforcement, Extension, and Constraint Discovery
108(10)
4.6 Learning Strategies
118(3)
4.7 Exercises
121(2)
5 COGNITIVE RADIO ARCHITECTURE
123(34)
5.1 CRA I: Functions, Components, and Design Rules
124(10)
5.2 CRA II: The Cognition Cycle
134(4)
5.3 CRA III: The Inference Hierarchy
138(5)
5.4 CRA IV: Architecture Maps
143(1)
5.5 CRA V: Building the CRA on SDR Architectures
144(8)
5.6 Cognition Architecture Research Topics
152(1)
5.7 Exercises
152(5)
II RADIO-DOMAIN COMPETENCE
6 RADIO-DOMAIN USE CASES
157(26)
6.1 Radio Use-Case Metrics
157(6)
6.2 FCC Unused TV Spectrum Use Case
163(7)
6.3 Demand Shaping Use Case
170(6)
6.4 Military Market Segment Use Cases
176(1)
6.5 RF Knowledge That Saves Lives
177(3)
6.6 Prognostication
180(1)
6.7 Exercises
180(3)
7 RADIO KNOWLEDGE
183(92)
7.1 Radio-Domain Overview
183(12)
7.2 Knowledge of the HF Radio Band
195(13)
7.3 Knowledge of the LVHF Radio Band
208(16)
7.4 Radio Noise and Interference
224(4)
7.5 Knowledge of the VHF Radio Band
228(9)
7.6 Knowledge of the UHF Radio Band
237(9)
7.7 Knowledge of the SHF Radio Band
246(10)
7.8 Knowledge of EHF, Terahertz, and Free Space Optics
256(4)
7.9 Satellite Communications Knowledge
260(7)
7.10 Cross-Band Mode Knowledge
267(8)
8 IMPLEMENTING RADIO-DOMAIN SKILLS
275(56)
8.1 Cognitive Radio Architecture Structures Radio Skills
276(5)
8.2 Embedded Databases Enable Skills
281(7)
8.3 Production Systems Enable Skills
288(3)
8.4 Embedded Inference Enables Skills
291(5)
8.5 Radio Knowledge Objects (RKOs)
296(7)
8.6 Evolving Skills Via RKO and RDH
303(2)
8.7 Implementing Spatial Skills
305(18)
8.8 Generalized [ Information-landscapet> 318
8.9 Microworlds
323(2)
8.10 Radio Skills Conclusions
325(1)
8.11 Exercises
326(5)
III USER-DOMAIN COMPETENCE
9 USER-DOMAIN USE CASES
331(16)
9.1 Emergency Companion Use Case
331(2)
9.2 Office Assistant Use Case
333(1)
9.3 Cognitive Assistants for Wireless
334(9)
9.4 User Skill Enhancements
343(3)
9.5 Exercises
346(1)
10 USER-DOMAIN KNOWLEDGE
347(25)
10.1 Users' Natural Language Expression
348(4)
10.2 Acoustic Sensory Perception
352(7)
10.3 Visual Sensory Perception
359(4)
10.4 Audio-Visual Integration
363(3)
10.5 Lexical Conceptual Semantics (LCS)
366(3)
10.6 Other Sensors
369(1)
10.7 Architecture Implications
369(1)
10.8 Exercises
369(3)
11 IMPLEMENTING USER-DOMAIN SKILLS
372(56)
11.1 Integrating Cognition
373(9)
11.2 Autonomous Extensibility
382(19)
11.3 Supervised Extensibility
401(6)
11.4 Uncertainty
407(10)
11.5 Learning Requires Grounding
417(6)
11.6 Sleep Cycles
423(1)
11.7 Pitfalls and Opportunities
424(2)
11.8 Exercises
426(2)
12 SEMANTIC RADIO
428(16)
12.1 CYC, eBusiness Solutions, and the Semantic Web
428(1)
12.2 CYC Case Study
429(8)
12.3 CYC Implications
437(2)
12.4 Web Languages
439(1)
12.5 Radio XML
439(4)
12.6 Conclusions
443(1)
GLOSSARY 444(7)
REFERENCES 451(16)
INDEX 467


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.