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