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Cognitive radio techniques.
Providing an in-depth treatment of the core enablers of cognitive radio technology, this unique book places emphasis on critical areas that have not been sufficiently covered in existing literature. You find expert guidance in the key enablers with respect to communications and signal processing. Th...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Artech House,
©2012.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cognitive Radio Techniques Spectrum Sensing, Interference Mitigation, and Localization; Contents; Preface; 1 Introduction to Cognitive Radios; 1.1 Introduction; 1.2 Definition of Cognitive Radios; 1.3 Software-Defined Radios; 1.4 The Cognitive Cycle; 1.5 The Radio Scene Analysis; 1.5.1 Spectrum Occupancy Classification; 1.5.2 Hidden Terminals; 1.5.3 Locating Primary Users; 1.6 Dynamic Spectrum Access and Management; 1.6.1 Spectrum Underlay and Overlay; 1.7 Regulatory Aspects; 1.7.1 The IEEE DySPAN Standards Committee; 1.7.2 The IEEE 802.22 WRAN Standards.
- 1.7.3 The ETSI-RRS Technical Committee1.8 Application Clusters; 1.8.1 Cellular Mobile Networks; 1.8.2 Energy Efficiency is Wireless Networks; 1.8.3 Public Safety Communications; 1.8.4 Coexistence of UWB Radio Technology; 1.8.5 Wireless Networks for Smart Grids; 1.8.6 Vehicular Networks; 1.8.7 Defense Application Systems; References; Part I: Spectrum Sensing in Cognitive Radios; 2 Fundamentals of Spectrum Sensing and Detection; 2.1 Introduction; 2.2 Statistical Detection Techniques; 2.2.1 Maximum A Posteriori Detection; 2.2.2 Maximum Likelihood Detection; 2.2.3 The Neyman-Pearson Detector.
- 2.2.4 The Bayesian Risk-Based Detector2.3 Continuous and Discrete Signal Detection; 2.4 Detection Performance; 2.4.1 Detection Performance Versus the SNR; 2.4.2 Detection Performance Versus the Signal Observation Length; 2.4.3 The ROC Curves; 2.4.4 Area Under the ROC Curves; 2.5 Wireless Channel Models; 2.5.1 Mean Pathloss; 2.5.2 Shadowing; 2.5.3 Small Scale Fading; 2.6 Basic Models for Spectrum Occupancy; 2.6.1 The Poisson-Exponential Model; 2.6.2 The Markov Modulated Poisson Process; 2.6.3 The Poisson-Pareto Burst Process; 2.7 Stochastic Analysis of Radio Signals.
- 2.8 Blind, Partial, and Complete Context Aware Signal Detection2.8.1 Blind Signal Detection; 2.8.2 Partial-Context Aware Signal Detection; 2.8.3 Fully Context Aware Signal Detection; 2.9 Summary; References; 3 Introduction to Spectrum Sensing Techniques; 3.1 Introduction; 3.2 Spectrum Sensing with Energy Detection; 3.2.1 Energy Detector; 3.2.2 Energy Detector in Gaussian Channel; 3.2.3 Energy Detector in Fading Channels; 3.2.4 Energy Detector in Fading Channels with Shadowing; 3.3 Energy Detection and Noise Power Uncertainty; 3.3.1 ED Threshold Mismatch; 3.3.2 SNR Wall.
- 3.3.3 Existence of the SNR Wall3.4 Spectrum Sensing with Cyclostationary Feature Detection; 3.4.1 Cyclostationarity Analysis; 3.4.2 Cyclostationary Feature-Based Detector; 3.5 Spectrum Sensing with Matched Filter Detection; 3.6 Other Spectrum Sensing Techniques; 3.6.1 Covariance-Based Method; 3.6.2 Eigenvalue-Based Method; 3.6.3 Wavelet-Based Edge Detection; 3.6.4 Spectral Estimation Methods; 3.7 Summary; References; 4 Temporal Spectrum Sensing and Performance Analysis; 4.1 Introduction; 4.2 Temporal Periodic-Spectrum Sensing; 4.3 P rimary User Spectral Occupancy Model with Poisson Arrival.