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Cognitive radio techniques : spectrum sensing, interference mitigation, and localization / / Kandeepan Sithamparanathan, Andrea Giorgetti
| Cognitive radio techniques : spectrum sensing, interference mitigation, and localization / / Kandeepan Sithamparanathan, Andrea Giorgetti |
| Autore | Sithamparanathan Kandeepan |
| Pubbl/distr/stampa | Boston, Massachusetts : , : Artech House, , ©2012 |
| Descrizione fisica | 1 online resource (395 p.) |
| Disciplina | 395 |
| Altri autori (Persone) | GiorgettiAndrea |
| Collana | Artech House mobile communications library |
| Soggetto topico | Cognitive radio networks |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-60807-204-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 |
| Record Nr. | UNINA-9910463418203321 |
Sithamparanathan Kandeepan
|
||
| Boston, Massachusetts : , : Artech House, , ©2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive radio techniques : spectrum sensing, interference mitigation, and localization / / Kandeepan Sithamparanathan, Andrea Giorgetti
| Cognitive radio techniques : spectrum sensing, interference mitigation, and localization / / Kandeepan Sithamparanathan, Andrea Giorgetti |
| Autore | Sithamparanathan Kandeepan |
| Pubbl/distr/stampa | Boston, Massachusetts : , : Artech House, , ©2012 |
| Descrizione fisica | 1 online resource (395 p.) |
| Disciplina | 395 |
| Altri autori (Persone) | GiorgettiAndrea |
| Collana | Artech House mobile communications library |
| Soggetto topico | Cognitive radio networks |
| ISBN | 1-60807-204-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 |
| Record Nr. | UNINA-9910786162403321 |
|
Sithamparanathan Kandeepan
|
||
| Boston, Massachusetts : , : Artech House, , ©2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive radio techniques : spectrum sensing, interference mitigation, and localization / / Kandeepan Sithamparanathan, Andrea Giorgetti
| Cognitive radio techniques : spectrum sensing, interference mitigation, and localization / / Kandeepan Sithamparanathan, Andrea Giorgetti |
| Autore | Sithamparanathan Kandeepan |
| Pubbl/distr/stampa | Boston, Massachusetts : , : Artech House, , ©2012 |
| Descrizione fisica | 1 online resource (395 p.) |
| Disciplina | 395 |
| Altri autori (Persone) | GiorgettiAndrea |
| Collana | Artech House mobile communications library |
| Soggetto topico | Cognitive radio networks |
| ISBN | 1-60807-204-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 |
| Record Nr. | UNINA-9910812094103321 |
|
Sithamparanathan Kandeepan
|
||
| Boston, Massachusetts : , : Artech House, , ©2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||