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Preface; About the Book; Contents; About the Authors; Abbreviations; 1 Network Performance and Fault Analytics for LTE Wireless Service Providers; 1.1 Introduction; 1.2 Motivation; 1.3 Current Performance and Fault Management Architectures; 1.4 Proposed Next-Generation Performance and Fault Management Architectures; 1.5 Summary of Gaps in Current Network Performance and Fault Tools and Analytics; 1.6 Book Outline; 2 Analytics Fundamentals; 2.1 Statistical Process Control; 2.1.1 Central Limit Theorem; 2.1.2 Applications of Central Limit Theorem: Bernoulli Trials
2.1.3 Examples of SPC for Bernoulli Trials2.2 Outliers; 2.2.1 QoS Outliers; 2.2.2 Outliers: What Are They?; 2.2.3 Outlier Detection: The Basic Approach; 2.2.4 Advanced Methods of Outlier Detection; 2.3 A Few Words About Queueing Systems; 2.3.1 "True" Process Distributions for LTE Network Components; 2.3.2 Little's Law: The "Big Three" of Queueing Dynamics; 2.3.3 System Performance Laws; 2.3.3.1 Amdahl's Law; 2.3.3.2 Universal Scalability Law; 2.3.4 Conclusion; 2.4 Forecasting; 2.4.1 Time Series: Definition and Assumptions; 2.4.2 Filling in the Gaps in Data; 2.4.2.1 Why?
2.4.2.2 Methods: Extension2.4.2.3 Methods: Interpolation; 2.4.3 Moving Averages; 2.4.4 EWMA; 2.4.5 EWMA Forecasting; 2.4.6 ARIMA Forecasting; 2.4.7 Selection of Forecasting Model; 2.5 Regression; 2.5.1 A Few Words on Terminology; 2.5.2 Linearizable Relationships; 2.5.3 The Main Idea Behind Regression; 2.5.4 Solving Eq. (2.5.2); 2.5.5 Goodness of Fit; 2.5.6 Model Competition; 2.5.7 Analysis of Residuals; 2.5.8 Advanced Regression Methods; 2.5.9 Do We Have to Compete?; 2.6 Clustering; 2.6.1 Bundling the Curves; 2.6.2 Geographic Clustering; 2.6.3 Geographic Clustering of Signal; 2.7 Conclusion
3.5.2 Retainability3.5.3 Integrity; 3.5.4 Availability; 3.5.5 Mobility; 3.6 Summary; 4 Enhanced Packet Core Network; 4.1 EPC Architecture; 4.1.1 SAE Gateways; 4.1.2 Mobility Management Entity; 4.1.3 Policy and Charging Resource Function (PCRF); 4.1.4 Home Subscription Server (HSS); 4.1.5 Application Services Domain (AS); 4.2 EPC Interfaces Specifications; 4.2.1 S1-U Interface; 4.2.2 S1-C Interface; 4.2.3 S5/S8 and SGi Interfaces; 4.2.4 Gx/Gxc and Rx Interfaces; 4.3 EPC Network Management Model; 4.3.1 MME Mobility Measurements; 4.3.2 MME Session and Subscriber Management
2.1.3 Examples of SPC for Bernoulli Trials2.2 Outliers; 2.2.1 QoS Outliers; 2.2.2 Outliers: What Are They?; 2.2.3 Outlier Detection: The Basic Approach; 2.2.4 Advanced Methods of Outlier Detection; 2.3 A Few Words About Queueing Systems; 2.3.1 "True" Process Distributions for LTE Network Components; 2.3.2 Little's Law: The "Big Three" of Queueing Dynamics; 2.3.3 System Performance Laws; 2.3.3.1 Amdahl's Law; 2.3.3.2 Universal Scalability Law; 2.3.4 Conclusion; 2.4 Forecasting; 2.4.1 Time Series: Definition and Assumptions; 2.4.2 Filling in the Gaps in Data; 2.4.2.1 Why?
2.4.2.2 Methods: Extension2.4.2.3 Methods: Interpolation; 2.4.3 Moving Averages; 2.4.4 EWMA; 2.4.5 EWMA Forecasting; 2.4.6 ARIMA Forecasting; 2.4.7 Selection of Forecasting Model; 2.5 Regression; 2.5.1 A Few Words on Terminology; 2.5.2 Linearizable Relationships; 2.5.3 The Main Idea Behind Regression; 2.5.4 Solving Eq. (2.5.2); 2.5.5 Goodness of Fit; 2.5.6 Model Competition; 2.5.7 Analysis of Residuals; 2.5.8 Advanced Regression Methods; 2.5.9 Do We Have to Compete?; 2.6 Clustering; 2.6.1 Bundling the Curves; 2.6.2 Geographic Clustering; 2.6.3 Geographic Clustering of Signal; 2.7 Conclusion
3.5.2 Retainability3.5.3 Integrity; 3.5.4 Availability; 3.5.5 Mobility; 3.6 Summary; 4 Enhanced Packet Core Network; 4.1 EPC Architecture; 4.1.1 SAE Gateways; 4.1.2 Mobility Management Entity; 4.1.3 Policy and Charging Resource Function (PCRF); 4.1.4 Home Subscription Server (HSS); 4.1.5 Application Services Domain (AS); 4.2 EPC Interfaces Specifications; 4.2.1 S1-U Interface; 4.2.2 S1-C Interface; 4.2.3 S5/S8 and SGi Interfaces; 4.2.4 Gx/Gxc and Rx Interfaces; 4.3 EPC Network Management Model; 4.3.1 MME Mobility Measurements; 4.3.2 MME Session and Subscriber Management