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George F. Elmasry
Dynamic Spectrum Access Decisions
Читать книгу Dynamic Spectrum Access Decisions - George F. Elmasry - Страница 1
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Вернуться на страницу книги Dynamic Spectrum Access Decisions
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Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Dynamic Spectrum Access Decisions Local, Distributed, Centralized, and Hybrid Designs
Copyright
Страница 9
About the Author
Preface
List of Acronyms
About the Companion Website
Страница 14
Chapter 1 Introduction
1.1 Summary of DSA Decision‐making Processes
1.2 The Hierarchy of DSA Decision Making
1.3 The Impact of DSA Control Traffic
1.4 The Involvedness of DSA Decision Making
1.5 The Pitfalls of DSA Decision Making
1.6 Concluding Remarks
Exercises
Bibliography
Notes
Chapter 2 Spectrum Sensing Techniques
2.1 Multidimensional Spectrum Sensing and Sharing
2.2 Time, Frequency, and Power Spectrum Sensing
2.3 Energy Detection Sensing
2.3.1 Energy Detection Sensing of a Communications Signal (Same‐channel in‐band Sensing)
2.3.2 Time Domain Energy Detection
2.3.3 Frequency Domain Energy Detection
2.4 Signal Characteristics Spectrum Sensing
2.4.1 Matched Filter Based Spectrum Sensing
2.4.2 Autocorrelation Based Spectrum Sensing
2.4.3 Spreading Code Spectrum Sensing
2.4.4 Frequency Hopping Spectrum Sensing
2.4.5 Orthogonality Based Spectrum Sensing
2.4.6 Waveform Based Spectrum Sensing
2.4.7 Cyclostationarity Based Spectrum Sensing
2.5 Euclidean Space Based Detection
2.5.1 Geographical Space Detection
2.5.2 Angle of the RF Beam Detection
2.6 Other Sensing Techniques
2.7 Concluding Remarks
Exercises
Appendix 2A: The Difference Between Signal Power and Signal Energy
Bibliography
Notes
Chapter 3 Receiver Operating Characteristics and Decision Fusion
3.1 Basic ROC Model Adaptation for DSA
Example: Evaluation Metrics and ROC Design for Different Applications
3.2 Adapting the ROC Model for Same‐channel in‐band Sensing
3.3 Decision Fusion
3.3.1 Local Decision Fusion
3.3.1.1 Local Decision Fusion for Same‐channel in‐band Sensing
3.3.1.2 Local Decision Fusion with Directional Energy Detection
3.3.2 Distributed and Centralized Decision Fusion
3.4 Concluding Remarks
3.5 Exercises
Appendix 3A: Basic Principles of the ROC Model
The ROC Curve as Connecting Points
3A.2 The ROC Curve Classifications
Bibliography
Notes
Chapter 4 Designing a Hybrid DSA System
4.1 Reasons for Using Hybrid DSA Design Approaches
Example
4.2 Decision Fusion Cases
4.3 The Role of Other Cognitive Processes
4.4 How Far can Distributed Cooperative DSA Design go?
4.5 Using a Centralized DSA Arbitrator
4.6 Concluding Remarks
Exercises
Bibliography
Notes
Страница 76
Chapter 5 DSA as a Set of Cloud Services
5.1 DSA Services in the Hierarchy of Heterogeneous Networks
5.2 The Generic DSA Cognitive Engine Skeleton
5.2.1 The Main Thread in the Central Arbitrator DSA Cognitive Engine
5.2.2 A Critical Thread in the Gateway DSA Cognitive Engine
5.2.3 The Gateway Cognitive Engine Propagation of Fused Information to the Central Arbitrator Thread
5.3 DSA Cloud Services Metrics
5.3.1 DSA Cloud Services Metrics Model
5.3.2 DSA Cloud Services Metrology
5.3.3 Examples of DSA Cloud Services Metrics
5.3.3.1 Response Time
5.3.3.2 Hidden Node
5.3.3.3 Meeting Traffic Demand
5.3.3.4 Rippling
5.3.3.5 Co‐site Interference Impact
5.3.3.6 Other Metrics
5.3.3.7 Generalizing a Metric Description
5.4 Concluding Remarks
Exercises
Bibliography
Notes
Chapter 6 Dynamic Spectrum Management for Cellular 5G Systems
6.1 Basic Concepts of 5G
6.2 Spatial Modeling and the Impact of 5G Dense Cell Deployment
6.2.1 Spatial Modeling and SIR
6.2.2 SIR and Connectivity
6.2.3 General Case Connectivity and Coverage
6.2.3.1 Transmission Capacity
6.2.3.2 5G Cell Overlay
6.3 Stages of 5G SI Cancellation
6.4 5G and Cooperative Spectrum Sensing
6.4.1 The Macrocell as the Main Fusion Center
6.4.2 Spectrum Agents Operate Autonomously
6.4.3 The End User as its Own Arbitrator
6.5 Power Control, Orthogonality, and 5G Spectrum Utilization
6.6 The Role of the Cell and End‐User Devices in 5G DSM
6.7 Concluding Remarks
Exercises
Bibliography
Notes
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