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Cognitive radio engineering /
A cognitive radio is a transceiver which is aware of its environment, its own technical capabilities and limitations, and those of the radios with which it may communicate; is capable of acting on that awareness and past experience to configure itself in a way that optimizes its performance; and is...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Edison, NJ :
SciTech Publishing, an imprint of the IET,
2016.
|
| Colección: | Mario Boella series on electromagnetism in information & communication.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Bostian, Charles W., |e author. | |
| 245 | 1 | 0 | |a Cognitive radio engineering / |c Charles W. Bostian, Nicholas J. Kaminski, Almohanad S. Fayez. |
| 264 | 1 | |a Edison, NJ : |b SciTech Publishing, an imprint of the IET, |c 2016. | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (xi, 252 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a ISMB Series | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a A cognitive radio is a transceiver which is aware of its environment, its own technical capabilities and limitations, and those of the radios with which it may communicate; is capable of acting on that awareness and past experience to configure itself in a way that optimizes its performance; and is capable of learning from experience. In a real sense, a cognitive radio is an intelligent communications system that designs and redesigns itself in real time. Cognitive Radio Engineering is both a text and a reference book about cognitive radio architecture and implementation, intended for readers who want to design and build working cognitive radios. It takes the reader from conceptual block diagrams through the design and evaluation of illustrative prototypes. An important goal is to bridge the divide between radio engineers, who often have little experience with the computational resource and timing issues inherent in cognitive radios, and computer engineers who often are unaware of RF issues like dynamic range, intermodulation products, and acquisition time. Following a brief overview of cognitive radio history and a high-level look at cognitive radio operation, the book presents a detailed study of cognitive engine design and analysis. After treating RF subsystems the book considers computational platforms and computation issues in cognitive radios, followed by system integration, evaluation methods for cognitive radio, and cognitive radio design for networking. The book concludes with coverage of cognitive radio applications in communications. | ||
| 505 | 0 | 0 | |g Machine generated contents note: -- |g 1. |t Introduction -- |g 1.1. |t What Is a Cognitive Radio and Why Is It Needed -- |g 1.2. |t Book Coverage and Philosophy -- |g 1.3. |t Origin of Cognitive Radio -- |g 1.4. |t Overview of Cognitive Radio Operation -- |g 1.5. |t Illustrative Example of Cognitive Radio Application: Dynamic Spectrum Access in the Broadcast Television Bands -- |g 1.5.1. |t Introduction -- |g 1.5.2. |t Identifying Frequencies for Cognitive Radio Operation: TV Channel Occupancy in the United States -- |g 1.5.3. |t FCC Rules and Commercial Standards for Unlicensed Television Band Devices (TVBDs) -- |g 1.5.4. |t FCC Rule Implementation by the IEEE 802.11af Standard -- |g 1.5.5. |t TV White Space Databases -- |g 1.5.6. |t Standard ECMA-392 -- |g 1.5.7. |t Cognitive Radio Design for U.S. TV White Space -- |g 1.6. |t Can a Radio Really Be Cognitive -- |g 2. |t Cognitive Engine Design -- |g 2.1. |t Introduction -- |g 2.2. |t Basic Function of a Cognitive Engine -- |g 2.3. |t Cognitive Engine Organization -- |g 2.3.1. |t Optimizer -- |g 2.3.2. |t Objective Analyzer -- |g 2.3.3. |t Ranker -- |g 2.3.4. |t Knowledge Base -- |g 2.3.5. |t Radio Interface -- |g 2.3.6. |t Sensor -- |g 2.3.7. |t User Interface -- |g 2.3.8. |t Controller -- |g 2.4. |t Tools and Techniques for CE Component Design -- |g 2.4.1. |t Machine Learning -- |g 2.4.2. |t Optimizers -- |g 2.4.3. |t Estimation -- |g 2.4.4. |t Sensing -- |g 2.5. |t Cognitive Engine Architecture -- |g 2.5.1. |t Broad Considerations -- |g 2.5.2. |t Monolithic Versus Distributed -- |g 2.5.3. |t Standards -- |g 2.5.4. |t Original CE Architecture -- |g 2.5.5. |t CSERE Architecture -- |g 2.6. |t Information Flow in Cognitive Engines -- |g 2.6.1. |t Example Use of Uncertainty Coefficient -- |g 2.7. |t Conclusion -- |g 3. |t RF Platforms for Cognitive Radio -- |g 3.1. |t Introduction -- |g 3.2. |t Preliminary Considerations in Choosing an RF Platform -- |g 3.3. |t RF Architectures -- |g 3.3.1. |t Receivers -- |g 3.3.2. |t Transmitter -- |g 3.4. |t Receiver RF Specifications -- |g 3.4.1. |t Introduction -- |g 3.4.2. |t Noise, Noise Performance, and Weak Signal Behavior -- |g 3.4.3. |t Strong Signal Behavior -- |g 3.5. |t Transmitter RF Specifications -- |g 3.6. |t MAC and Performance Considerations -- |g 3.7. |t Radio Frequency Integrated Circuits -- |g 3.7.1. |t Introduction -- |g 3.7.2. |t Example: RFM69CW -- |g 3.7.3. |t Computational Support for RFICs -- |g 3.8. |t Platforms for Software Defined Radio -- |g 3.8.1. |t Introduction -- |g 3.8.2. |t Packaged RF Front Ends and All-in-one Platforms -- |g 3.9. |t Conclusion -- |g 4. |t Cognitive Radio Computation and Computational Platforms -- |g 4.1. |t Role of Computing and Cognitive Radio Architecture -- |g 4.2. |t Control Flow and Data Flow Computer Architectures -- |g 4.2.1. |t Control Flow Computing -- |g 4.2.2. |t Data Flow Computing -- |g 4.3. |t Overview of Computational Devices (GPP, DSP, FPGA) -- |g 4.3.1. |t Digital Signal Processors -- |g 4.3.2. |t General Purpose Processors -- |g 4.3.3. |t Field-programmable Gate Arrays -- |g 4.3.4. |t Alternative Computational Devices -- |g 4.3.5. |t Computational Heterogeneity -- |g 4.4. |t Models of Computation -- |g 4.4.1. |t Reactive and Real-time Systems -- |g 4.4.2. |t Data Flow Models of Computation -- |g 4.4.3. |t Process Algebra -- |g 4.4.4. |t Calculus of Communicating Systems and (SS (B-calculus -- |g 4.5. |t Models-of-Computation Use -- |g 4.6. |t Conclusion -- |g 5. |t Integrating and Programming RF and Computational Platforms for Cognitive Radio -- |g 5.1. |t SDR Platforms -- |g 5.2. |t Choosing a Platform -- |g 5.2.1. |t Choosing Between RF Alternatives -- |g 5.2.2. |t Processor Choices -- |g 5.2.3. |t Benchmarks -- |g 5.2.4. |t Processor Interconnect -- |g 5.2.5. |t Other Considerations -- |g 5.3. |t Programming -- |g 5.3.1. |t Classic Approach -- |g 5.3.2. |t Model-Based Design -- |g 5.3.3. |t Application of Models-of-Computation -- |g 5.4. |t Concluding Remarks -- |g 6. |t Cognitive Radio Evaluation -- |g 6.1. |t Introduction -- |g 6.2. |t Performance Evaluation Principles -- |g 6.3. |t Metrics and Factors for Cognitive Radio Evaluation -- |g 6.3.1. |t Purpose -- |g 6.3.2. |t Language -- |g 6.3.3. |t Actions -- |g 6.4. |t Practical Evaluation Methods -- |g 6.4.1. |t Setup -- |g 6.4.2. |t Logging -- |g 6.4.3. |t Encoding -- |g 6.4.4. |t Interpolation -- |g 6.4.5. |t Alternative Approaches to Evaluation -- |g 6.5. |t Example Evaluation -- |g 6.5.1. |t Setup Phase -- |g 6.5.2. |t Logging Phase -- |g 6.5.3. |t Encoding Phase -- |g 6.5.4. |t Interpolation -- |g 6.6. |t Example Code -- |g 6.6.1. |t Free FEC Cognitive Radio -- |g 6.6.2. |t Fixed FEC Cognitive Radio -- |g 6.6.3. |t Interpolation Code -- |g 6.7. |t Conclusion -- |g 7. |t Cognitive Radio Design for Networking -- |g 7.1. |t Networks of Cognitive Radios Versus Cognitive Networks -- |g 7.2. |t Cognitive Network Goals -- |g 7.3. |t Interaction Methods for Cognitive Radios -- |g 7.3.1. |t Social Language -- |g 7.4. |t Components of Interaction -- |g 7.4.1. |t Observability -- |g 7.4.2. |t Understanding -- |g 7.5. |t Analyzing Interactions -- |g 7.5.1. |t Example Analysis -- |g 7.5.2. |t Analysis Results -- |g 7.6. |t Group Learning -- |g 7.7. |t Building a Cognitive Network with Social Language -- |g 7.7.1. |t MAC Layer Considerations -- |g 7.7.2. |t Behavior-based Design and Social Language -- |g 7.7.3. |t Tasks and Behaviors -- |g 7.7.4. |t Hardware Considerations and Implementation -- |g 7.7.5. |t Implementing Behaviors in Software and Hardware -- |g 7.7.6. |t Network Evaluation -- |g 7.7.7. |t Entry Scenario -- |g 7.7.8. |t Social Learning -- |g 7.7.9. |t Total System Behavior -- |g 8. |t Cognitive Radio Applications -- |g 8.1. |t Introduction -- |g 8.2. |t Zoned Dynamic Spectrum Access -- |g 8.3. |t Cognitive WiFi and LTE Operation in TV White Space Spectrum -- |g 8.3.1. |t WiFi Frequency Translators -- |g 8.3.2. |t LTE Frequency Converters -- |g 8.4. |t LTE Cognitive Repeaters for Indoor Applications -- |g 8.5. |t Cognitive Radio and Cognitive Radar: Communications and Radar System Coexistence -- |g 8.5.1. |t Cognitive Radar -- |g 8.5.2. |t Legacy Radar and Communications System Coexistence -- |g 8.6. |t Ka Band Geostationary Satellite Applications -- |g 8.6.1. |t Introduction -- |g 8.7. |t Public Safety and Emergency First Responder Communication -- |g 8.7.1. |t Introduction -- |g 8.7.2. |t Virginia Tech Public Safety Cognitive Radio -- |g 8.7.3. |t Current (2016) Situation -- |g 8.8. |t Cognitive Radio and Autonomous Vehicles -- |g 8.9. |t Smart Grids. |
| 590 | |a Knovel |b ACADEMIC - Electronics & Semiconductors | ||
| 650 | 0 | |a Cognitive radio networks. | |
| 650 | 6 | |a Radio cognitive. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mechanical. |2 bisacsh | |
| 650 | 7 | |a Cognitive radio networks. |2 fast |0 (OCoLC)fst01745359 | |
| 650 | 7 | |a cognitive radio. |2 inspect | |
| 700 | 1 | |a Fayez, Almohanad S., |e author. | |
| 700 | 1 | |a Kaminski, Nicholas J., |e author. | |
| 776 | 0 | 8 | |i Print version: |a Bostian, Charles W. |t Cognitive radio engineering. |d Edison, NJ: SciTech Publishing, an imprint of the IET, 2016 |z 1613532113 |w (OCoLC)961932338 |
| 830 | 0 | |a Mario Boella series on electromagnetism in information & communication. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpCRE00004/toc |z Texto completo |
| 880 | 0 | 0 | |6 505-00/(S |g Machine generated contents note: |g 1. |t Introduction -- |g 1.1. |t What Is a Cognitive Radio and Why Is It Needed-- |g 1.2. |t Book Coverage and Philosophy -- |g 1.3. |t Origin of Cognitive Radio -- |g 1.4. |t Overview of Cognitive Radio Operation -- |g 1.5. |t Illustrative Example of Cognitive Radio Application: Dynamic Spectrum Access in the Broadcast Television Bands -- |g 1.5.1. |t Introduction -- |g 1.5.2. |t Identifying Frequencies for Cognitive Radio Operation: TV Channel Occupancy in the United States -- |g 1.5.3. |t FCC Rules and Commercial Standards for Unlicensed Television Band Devices (TVBDs) -- |g 1.5.4. |t FCC Rule Implementation by the IEEE 802.11af Standard -- |g 1.5.5. |t TV White Space Databases -- |g 1.5.6. |t Standard ECMA-392 -- |g 1.5.7. |t Cognitive Radio Design for U.S. TV White Space -- |g 1.6. |t Can a Radio Really Be Cognitive-- |g 2. |t Cognitive Engine Design -- |g 2.1. |t Introduction -- |g 2.2. |t Basic Function of a Cognitive Engine -- |g 2.3. |t Cognitive Engine Organization -- |g 2.3.1. |t Optimizer -- |g 2.3.2. |t Objective Analyzer -- |g 2.3.3. |t Ranker -- |g 2.3.4. |t Knowledge Base -- |g 2.3.5. |t Radio Interface -- |g 2.3.6. |t Sensor -- |g 2.3.7. |t User Interface -- |g 2.3.8. |t Controller -- |g 2.4. |t Tools and Techniques for CE Component Design -- |g 2.4.1. |t Machine Learning -- |g 2.4.2. |t Optimizers -- |g 2.4.3. |t Estimation -- |g 2.4.4. |t Sensing -- |g 2.5. |t Cognitive Engine Architecture -- |g 2.5.1. |t Broad Considerations -- |g 2.5.2. |t Monolithic Versus Distributed -- |g 2.5.3. |t Standards -- |g 2.5.4. |t Original CE Architecture -- |g 2.5.5. |t CSERE Architecture -- |g 2.6. |t Information Flow in Cognitive Engines -- |g 2.6.1. |t Example Use of Uncertainty Coefficient -- |g 2.7. |t Conclusion -- |g 3. |t RF Platforms for Cognitive Radio -- |g 3.1. |t Introduction -- |g 3.2. |t Preliminary Considerations in Choosing an RF Platform -- |g 3.3. |t RF Architectures -- |g 3.3.1. |t Receivers -- |g 3.3.2. |t Transmitter -- |g 3.4. |t Receiver RF Specifications -- |g 3.4.1. |t Introduction -- |g 3.4.2. |t Noise, Noise Performance, and Weak Signal Behavior -- |g 3.4.3. |t Strong Signal Behavior -- |g 3.5. |t Transmitter RF Specifications -- |g 3.6. |t MAC and Performance Considerations -- |g 3.7. |t Radio Frequency Integrated Circuits -- |g 3.7.1. |t Introduction -- |g 3.7.2. |t Example: RFM69CW -- |g 3.7.3. |t Computational Support for RFICs -- |g 3.8. |t Platforms for Software Defined Radio -- |g 3.8.1. |t Introduction -- |g 3.8.2. |t Packaged RF Front Ends and All-in-one Platforms -- |g 3.9. |t Conclusion -- |g 4. |t Cognitive Radio Computation and Computational Platforms -- |g 4.1. |t Role of Computing and Cognitive Radio Architecture -- |g 4.2. |t Control Flow and Data Flow Computer Architectures -- |g 4.2.1. |t Control Flow Computing -- |g 4.2.2. |t Data Flow Computing -- |g 4.3. |t Overview of Computational Devices (GPP, DSP, FPGA) -- |g 4.3.1. |t Digital Signal Processors -- |g 4.3.2. |t General Purpose Processors -- |g 4.3.3. |t Field-programmable Gate Arrays -- |g 4.3.4. |t Alternative Computational Devices -- |g 4.3.5. |t Computational Heterogeneity -- |g 4.4. |t Models of Computation -- |g 4.4.1. |t Reactive and Real-time Systems -- |g 4.4.2. |t Data Flow Models of Computation -- |g 4.4.3. |t Process Algebra -- |g 4.4.4. |t Calculus of Communicating Systems and Π-calculus -- |g 4.5. |t Models-of-Computation Use -- |g 4.6. |t Conclusion -- |g 5. |t Integrating and Programming RF and Computational Platforms for Cognitive Radio -- |g 5.1. |t SDR Platforms -- |g 5.2. |t Choosing a Platform -- |g 5.2.1. |t Choosing Between RF Alternatives -- |g 5.2.2. |t Processor Choices -- |g 5.2.3. |t Benchmarks -- |g 5.2.4. |t Processor Interconnect -- |g 5.2.5. |t Other Considerations -- |g 5.3. |t Programming -- |g 5.3.1. |t Classic Approach -- |g 5.3.2. |t Model-Based Design -- |g 5.3.3. |t Application of Models-of-Computation -- |g 5.4. |t Concluding Remarks -- |g 6. |t Cognitive Radio Evaluation -- |g 6.1. |t Introduction -- |g 6.2. |t Performance Evaluation Principles -- |g 6.3. |t Metrics and Factors for Cognitive Radio Evaluation -- |g 6.3.1. |t Purpose -- |g 6.3.2. |t Language -- |g 6.3.3. |t Actions -- |g 6.4. |t Practical Evaluation Methods -- |g 6.4.1. |t Setup -- |g 6.4.2. |t Logging -- |g 6.4.3. |t Encoding -- |g 6.4.4. |t Interpolation -- |g 6.4.5. |t Alternative Approaches to Evaluation -- |g 6.5. |t Example Evaluation -- |g 6.5.1. |t Setup Phase -- |g 6.5.2. |t Logging Phase -- |g 6.5.3. |t Encoding Phase -- |g 6.5.4. |t Interpolation -- |g 6.6. |t Example Code -- |g 6.6.1. |t Free FEC Cognitive Radio -- |g 6.6.2. |t Fixed FEC Cognitive Radio -- |g 6.6.3. |t Interpolation Code -- |g 6.7. |t Conclusion -- |g 7. |t Cognitive Radio Design for Networking -- |g 7.1. |t Networks of Cognitive Radios Versus Cognitive Networks -- |g 7.2. |t Cognitive Network Goals -- |g 7.3. |t Interaction Methods for Cognitive Radios -- |g 7.3.1. |t Social Language -- |g 7.4. |t Components of Interaction -- |g 7.4.1. |t Observability -- |g 7.4.2. |t Understanding -- |g 7.5. |t Analyzing Interactions -- |g 7.5.1. |t Example Analysis -- |g 7.5.2. |t Analysis Results -- |g 7.6. |t Group Learning -- |g 7.7. |t Building a Cognitive Network with Social Language -- |g 7.7.1. |t MAC Layer Considerations -- |g 7.7.2. |t Behavior-based Design and Social Language -- |g 7.7.3. |t Tasks and Behaviors -- |g 7.7.4. |t Hardware Considerations and Implementation -- |g 7.7.5. |t Implementing Behaviors in Software and Hardware -- |g 7.7.6. |t Network Evaluation -- |g 7.7.7. |t Entry Scenario -- |g 7.7.8. |t Social Learning -- |g 7.7.9. |t Total System Behavior -- |g 8. |t Cognitive Radio Applications -- |g 8.1. |t Introduction -- |g 8.2. |t Zoned Dynamic Spectrum Access -- |g 8.3. |t Cognitive WiFi and LTE Operation in TV White Space Spectrum -- |g 8.3.1. |t WiFi Frequency Translators -- |g 8.3.2. |t LTE Frequency Converters -- |g 8.4. |t LTE Cognitive Repeaters for Indoor Applications -- |g 8.5. |t Cognitive Radio and Cognitive Radar: Communications and Radar System Coexistence -- |g 8.5.1. |t Cognitive Radar -- |g 8.5.2. |t Legacy Radar and Communications System Coexistence -- |g 8.6. |t Ka Band Geostationary Satellite Applications -- |g 8.6.1. |t Introduction -- |g 8.7. |t Public Safety and Emergency First Responder Communication -- |g 8.7.1. |t Introduction -- |g 8.7.2. |t Virginia Tech Public Safety Cognitive Radio -- |g 8.7.3. |t Current (2016) Situation -- |g 8.8. |t Cognitive Radio and Autonomous Vehicles -- |g 8.9. |t Smart Grids. |
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