Network performance and fault analytics for LTE wireless service providers

• Main Author: Kakadia, Deepak
• Other Authors: Yang, Jin, Gilgur, Alexander
• Format: Electronic eBook
• Language: English
• Published: New Delhi : Springer, 2017.
• Subjects: Long-Term Evolution (Telecommunications); Network performance (Telecommunication); elektronické knihy; electronic books
• ISBN: 9788132237211; 9788132237198
• Physical Description: 1 online resource

This book is intended to describe how to leverage emerging technologies big data analytics and SDN, to address challenges specific to LTE and IP network performance and fault management data in order to more efficiently manage and operate an LTE wireless networks. The proposed integrated solutions p...

Table of Contents:

• 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.