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Self-Organizing Networks: Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE

Book Description

With the current explosion in network traffic, and mounting pressure on operators' business case, Self-Organizing Networks (SON) play a crucial role. They are conceived to minimize human intervention in engineering processes and at the same time improve system performance to maximize Return-on-Investment (ROI) and secure customer loyalty.

Written by leading experts in the planning and optimization of Multi-Technology and Multi-Vendor wireless networks, this book describes the architecture of Multi-Technology SON for GSM, UMTS and LTE, along with the enabling technologies for SON planning, optimization and healing. This is presented mainly from a technology point of view, but also covers some critical business aspects, such as the ROI of the proposed SON functionalities and Use Cases.

Key features:

  • Follows a truly Multi-Technology approach: covering not only LTE, but also GSM and UMTS, including architectural considerations of deploying SON in today's GSM and UMTS networks

  • Features detailed discussions about the relevant trade-offs in each Use Case

  • Includes field results of today's GSM and UMTS SON implementations in live networks

  • Addresses the calculation of ROI for Multi-Technology SON, contributing to a more complete and strategic view of the SON paradigm

This book will appeal to network planners, optimization engineers, technical/strategy managers with operators and R&D/system engineers at infrastructure and software vendors. It will also be a useful resource for postgraduate students and researchers in automated wireless network planning and optimization.

Table of Contents

  1. Cover
  2. Title page
  3. Copyright page
  4. Foreword
  5. Preface
  6. Acknowledgements
  7. List of Contributors
  8. List of Abbreviations
  9. 1 Operating Mobile Broadband Networks
    1. 1.1. The Challenge of Mobile Traffic Growth
    2. 1.2. Capacity and Coverage Crunch
    3. 1.3. Meeting the Challenge – the Network Operator Toolkit
    4. 1.4. Self-Organizing Networks (SON)
    5. 1.5. Summary and Book Contents
    6. 1.6. References
  10. 2 The Self-Organizing Networks (SON) Paradigm
    1. 2.1. Motivation and Targets from NGMN
    2. 2.2. SON Use Cases
    3. 2.3. SON versus Radio Resource Management
    4. 2.4. SON in 3GPP
    5. 2.5. SON in the Research Community
    6. 2.6. References
  11. 3 Multi-Technology SON
    1. 3.1. Drivers for Multi-Technology SON
    2. 3.2. Architectures for Multi-Technology SON
    3. 3.3. References
  12. 4 Multi-Technology Self-Planning
    1. 4.1. Self-Planning Requirements for 2G, 3G and LTE
    2. 4.2. Cross-Technology Constraints for Self-Planning
    3. 4.3. Self-Planning as an Integrated Process
    4. 4.4. Planning versus Optimization
    5. 4.5. Information Sources for Self-Planning
    6. 4.6. Automated Capacity Planning
    7. 4.7. Automated Transmission Planning
    8. 4.8. Automated Site Selection and RF Planning
    9. 4.9. Automated Neighbor Planning
    10. 4.10. Automated Spectrum Planning for GSM/GPRS/EDGE
    11. 4.11. Automated Planning of 3G Scrambling Codes
    12. 4.12. Automated Planning of LTE Physical Cell Identifiers
    13. 4.13. References
  13. 5 Multi-Technology Self-Optimization
    1. 5.1. Self-Optimization Requirements for 2G, 3G and LTE
    2. 5.2. Cross-Technology Constraints for Self-Optimization
    3. 5.3. Optimization Technologies
    4. 5.4. Sources for Automated Optimization of Cellular Networks
    5. 5.5. Self-Planning versus Open-Loop Self-Optimization
    6. 5.6. Architectures for Automated and Autonomous Optimization
    7. 5.7. Open-Loop, Automated Self-Optimization of Cellular Networks
    8. 5.8. Closed-Loop, Autonomous Self-Optimization of 2G Networks
    9. 5.9. Closed-Loop, Autonomous Self-Optimization of 3G Networks
    10. 5.10. Closed-Loop, Autonomous Self-Optimization of LTE Networks
    11. 5.11. Autonomous Load Balancing for Multi-Technology Networks
    12. 5.12. Multi-Technology Energy Saving for Green IT
    13. 5.13. Coexistence with Network Management Systems
    14. 5.14. Multi-Vendor Self-Optimization
    15. 5.15. References
  14. 6 Multi-Technology Self-Healing
    1. 6.1. Self-Healing Requirements for 2G, 3G and LTE
    2. 6.2. The Self-Healing Process
    3. 6.3. Inputs for Self-Healing
    4. 6.4. Self-Healing for Multi-Layer 2G Networks
    5. 6.5. Self-Healing for Multi-Layer 3G Networks
    6. 6.6. Self-Healing for Multi-Layer LTE Networks
    7. 6.7. Multi-Vendor Self-Healing
    8. 6.8. References
  15. 7 Return on Investment (ROI) for Multi-Technology SON
    1. 7.1. Overview of SON Benefits
    2. 7.2. General Model for ROI Calculation
    3. 7.3. Case Study: ROI for Self-Planning
    4. 7.4. Case Study: ROI for Self-Optimization
    5. 7.5. Case Study: ROI for Self-Healing
    6. 7.6. References
  16. Appendix A Geo-Location Technology for UMTS
    1. A.1. Introduction
    2. A.2. Observed Time Differences (OTDs)
    3. A.3. Algorithm Description
    4. A.4. Scenario and Working Assumptions
    5. A.5. Results
    6. A.6. Concluding Remarks
    7. A.7. References
  17. Appendix B X-Map Estimation for LTE
    1. B.1. Introduction
    2. B.2. X-Map Estimation Approach
    3. B.3. Simulation Results
    4. B.4. References
  18. Index