ISBN:
9781608072040
,
1608072037
,
9781608072033
Language:
English
Pages:
Online-Ressource (1 online resource (395 pages))
,
illustrations.
Edition:
Online-Ausg.
Series Statement:
Artech House mobile communications library
Parallel Title:
Erscheint auch als
DDC:
395
Keywords:
Cognitive radio networks
;
Intellectual capital -- Management
;
Employees -- Social networks
;
Business networks
;
Organizational behavior
;
Cognitive radio networks
;
Electronic books
;
Employees ; Social networks..
;
Business networks..
;
Organizational behavior
;
Intellectual capital ; Management..
;
Electronic books
;
Electronic books
Abstract:
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. The book presents fundamentals, basic solutions, detailed discussions of important enabler issues, and advanced algorithms to save you time with your projects in the field. For the first time in any book, you find an adequately detailed treatment of spectrum sensing that covers nearly every aspect of the subject. Moreover, this valuable resource provides you with thorough working knowledge of localization and interference mitigation as enablers of cognitive radio technology. The book includes all the necessary mathematics, statistical and probabilistic treatments, and performance analysis to give you a comprehensive understanding of the material.
Abstract:
Intro -- 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 Committee -- 1.8 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 Detector -- 2.3 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.
Description / Table of Contents:
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
Description / Table of Contents:
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
Description / Table of Contents:
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
Description / Table of Contents:
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
Description / Table of Contents:
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
Description / Table of Contents:
4.3.1 Exponential Random Spectral Occupancy Time
Note:
Includes bibliographical references and index. - Description based on print version record
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