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Self Organizing Networks (SON) Challenges and Market Opportunities for LTE and Beyond, Third Edition

Abstract

Overview:

The Fourth Generation (4G) of cellular communications based on the Long Term Evolution (LTE) standard promises much great network capacity. This greater supply of bandwidth will stimulate the development, implementation and operation of many new applications, each with very unique quality of service, bandwidth, and performance needs.

It will be a much more complex network and this will facilitate a need for improved operations and OSS. A key driver for improving OSS for 4G systems, the so called Self Organizing Network (SON) has been introduced as part of the 3GPP LTE network framework. SON is expected to be deployed over time and ultimately have a dramatically positive effect on network operations and OSS.

This research evaluates SON capabilities, vendors, and solutions. It analyzes the function of SON relative to LTE and evaluates the benefits of deployment and operation. The report also discusses the future of SON beyond 4G. This research includes a forecast for overall OSS/BSS revenue.

Target Audience:

  • Mobile network operators
  • Wireless device manufacturers
  • Wireless infrastructure providers
  • OSS/BSS vendors and service providers
  • Network optimization service providers
  • LTE application developers and service integrators
  • Managed service providers and service bureau organizations

Table of Contents

1.0 EXECUTIVE SUMMARY

2.0 INTRODUCTION

  • 2.1 SELF ORGANIZING NETWORKS ECONOMIC BENEFITS
    • 2.1.1 NETWORK AUTOMATION
    • 2.1.2 ENERGY SAVINGS
    • 2.1.3 REDUCTION IN EQUIPMENT REQUIRED

3.0 LTE OVERVIEW

  • 3.1.1 FDD LTE
    • 3.1.2 TDD LTE
    • 3.1.3 LTE ADVANCED.
    • 3.1.4 LTE NETWORK INFRASTRUCTURE
    • 3.1.5 THE EVOLUTION TO 4G AND BEYOND
  • 3.2 LTE SUBSCRIPTIONS WORLDWIDE

4.0 EVOLVED PACKET CORE (EPC)

  • 4.1 THE BENEFITS OF EPC FOR END-USER AND OPERATOR
    • 4.1.1 ARCHITECTURE OF EPC
    • 4.1.2 USER EQUIPMENT (UE)
    • 4.1.3 RADIO NETWORKS AND EPC
  • 4.2 EPC DEPLOYMENT CASES
  • 4.3 IMPLEMENTATION CASES
    • 4.3.1 FIRST SCENARIO
    • 4.3.2 SECOND SCENARIO
  • 4.4 THIRD SCENARIO
    • 4.4.1 FIFTH SCENARIO
  • 4.5 TRENDS AND THE FUTURE

5.0 SELF ORGANIZING NETWORKS

  • 5.1 SELF ORGANIZING NETWORKS METHODOLOGY
    • 5.1.1 SON CATEGORIES AND CASES
    • 5.1.2 DISTRIBUTED/SELF-ORGANIZING (DSO)
    • 5.1.3 COOPERATIVE RELAYING (CR) IN SON
    • 5.1.4 FEEDBACK OVERHEAD IN SON
    • 5.1.5 CODEBOOK-BASED PRE-CODING IN SON
    • 5.1.6 FEEDBACK DELAY IN SON
  • 5.2 CURRENT MARKET USE CASES
    • 5.2.1 SELF CONFIGURATION
    • 5.2.2 SELF OPTIMIZATION
    • 5.2.3 SELF HEALING
    • 5.2.4 PROBLEMS WITH SELF HEALING
    • 5.2.5 INSTALLING PHASES
    • 5.2.6 CENTRALIZED SON
    • 5.2.7 DISTRUSTED SON
    • 5.2.8 LOCALIZED SON
    • 5.2.9 HYBRID SON
    • 5.2.10 LTE RELEASE OF SON
    • 5.2.11 AUTOMATIC NEIGHBOR RELATION (ANR)
    • 5.2.12 INSTALLING ANR
    • 5.2.13 LOAD BALANCING IN SON
    • 5.2.14 MOBILITY ROBUSTNESS OPTIMIZATION (MRO)
  • 5.3 DISTRIBUTED CLUSTERING IN SON
    • 5.3.1 OPERATORS BENEFITS
    • 5.3.2 OPERATIONAL USE CASES
    • 5.3.3 ICIC ENHANCEMENT
    • 5.3.4 ANTENNA PARAMETERS AND COST REDUCTION AND ANTENNA TILT
    • 5.3.5 ELECTRICAL TILT
    • 5.3.6 MECHANICAL TILT
    • 5.3.7 INSTALLING ANTENNA TILT AND ITS PARAMETERS
  • 5.4 FEATURES AND ROI OF THE ANTENNA TILTS
    • 5.4.1 DISTRIBUTED ANTENNA SYSTEM (DAS)
    • 5.4.1 OVERCOMING PERFORMANCE ISSUES IN DAS NODE COVERAGE AREA
    • 5.4.2 ENERGY SAVINGS

6.0 TRANSITIONING TO SELF ORGANIZING NETWORKS (SON)

  • 6.1 NGMN USE CASE
  • 6.2 SON VALUE PROPOSITION TO NETWORK OPERATORS
    • 6.2.1 ECONOMIC BENEFITS
    • 6.2.2 SON IMPLEMENTATION EXPENDITURES (IMPEX)
    • 6.2.3 SON CAPITAL EXPENDITURES (CAPEX)
    • 6.2.4 SON OPERATIONAL EXPENDITURES (OPEX)
  • 6.3 SMARTER SELF ORGANIZING NETWORKS
  • 6.4 RECOMMENDATIONS AND METHODS FOR OPERATORS TO DEPLOY LTE APPLICATIONS

7.0 VENDORS SOLUTION ANALYSIS

  • 7.1 OPTIMI SOLUTIONS
    • 7.1.1 CLIENTS' FEEDBACK ON THE SOLUTION
    • 7.1.2 SWOT ANALYSIS FOR OPTIMI
    • 7.1.3 OPTIMI MULTI-TECHNOLOGY SELF-ORGANIZING NETWORKS (SON FOR THE 3G)
  • 7.2 ERICSSON SON SOLUTION
    • 7.2.1 ADVANCED SON FROM ERICSSON
  • 7.3 ACTIX
    • 7.3.1 SON BY ACTIX
    • 7.3.2 ACTIX SWOT
    • 7.3.3 CLIENT'S FEEDBACK ON ACTIX SON SOLUTION
    • 7.3.1 NEC AND ACTIX SON
  • 7.4 MOTOROLA
    • 7.4.1 MOTOROLA SWOT
    • 7.4.2 MOTOROLA SON SERVICES
    • 7.4.3 FEATURES OF MOTOROLA SON
  • 7.5 HUAWEI SON SOLUTION
    • 7.5.1 PHASE 1
    • 7.5.2 PHASE 2
    • 7.5.3 PHASE 3
    • 7.5.4 PHASE 4
    • 7.5.5 HUAWEI'S SON ANALYSIS
  • 7.6 NOKIA-SIEMENS NETWORKS SON SOLUTION
    • 7.6.1 NSN SON ANALYSIS
    • 7.6.2 INTELLIGENT SELF ORGANIZING NETWORKS (ISON) FROM NSN
  • 7.7 AIRHOP COMMUNICATIONS
    • 7.7.1 AIRHOP SON SOLUTION ANALYSIS
    • 7.7.2 CLIENT'S FEEDBACK ON AIRHOP SON SOLUTIONS
  • 7.8 SON PROVIDER COMPARATIVE ANALYSIS
    • 7.8.1 COMPARISON BETWEEN SON PROVIDER BY CLIENTS FEEDBACK
    • 7.8.2 COMPARISON BETWEEN SON PROVIDER BY SETUP COST
    • 7.8.3 START-UPS SON PROVIDERS
    • 7.8.4 WHO IS DOMINATING THE MARKET AND WHY?
    • 7.8.5 THE FUTURE OF THE LTE (5G AND BEYOND)
    • 7.8.6 LTE DEVICE SHIPMENTS TO 2016

8.0 SELF ORGANIZING NETWORKS SOFTWARE MARKET FORECAST 2013-2017

  • 8.1 FACTORS DRIVING THE SON MARKET
    • 8.1.1 KEY MARKET TRENDS
  • 8.2 REGIONAL SON MARKET FORECAST 2013-2016
    • 8.2.1 NORTH AMERICA
    • 8.2.2 LATIN AND CENTRAL AMERICA
    • 8.2.3 ASIA PACIFIC
    • 8.2.4 EUROPE
    • 8.2.5 MIDDLE EAST AND AFRICA
    • 8.2.6 GLOBAL MARKET OUTLOOK

9.0 THE FUTURE OF SELF ORGANIZING NETWORKS (COGNITIVE RADIO NETWORKS)

10.0 APPENDIX

  • 10.1 LONG TERM EVOLUTION (LTE) MARKET AND TECHNOLOGY OVERVIEW
    • 10.1.1 LTE MARKET OVERVIEW
    • 10.1.2 MARKET DRIVERS
    • 10.1.3 THE SHIFT FROM VOICE TO DATA CENTRIC SERVICES
    • 10.1.4 THE DEMAND FOR HIGHER DATA ARPUS
    • 10.1.5 CAPACITY MANAGEMENT AND OPEX REDUCTION
    • 10.1.6 LIMITED COMPETITION
    • 10.1.7 LACK OF FIXED BROADBAND IN LOW DENSITY AREAS
    • 10.1.8 VENDOR COMMITMENTS
    • 10.1.9 MARKET BARRIERS
    • 10.1.10 SPECTRUM CONGESTION
    • 10.1.11 HIGH INVESTMENTS FOR EARLY ADOPTERS
    • 10.1.12 CONSUMER DEVICE CHALLENGES
    • 10.1.13 BROADBAND PRICING AND INTERNATIONAL ROAMING
    • 10.1.14 LTE TECHNOLOGY OVERVIEW
    • 10.1.15 TECHNOLOGY OVERVIEW
    • 10.1.16 PERFORMANCE METRICS
    • 10.1.17 LTE ADVANCED
    • 10.1.18 NTEGRATION WITH DEPLOYED NETWORKS
  • 10.2 NEXT GENERATION NETWORK (NGN) OSS/BSS
    • 10.2.1 NGN OSS OVERVIEW
    • 10.2.2 DRIVERS OF NGN
    • 10.2.3 TELECOM OPERATOR AND VENDOR INTERESTS
    • 10.2.4 IMPROVEMENT IN ACCESS TECHNOLOGIES
    • 10.2.5 REDUCED VENDOR DEPENDENCY 1
    • 10.2.6 OPERATIONAL CHALLENGES
    • 10.2.7 INTEGRATION OF MULTIPLE PRIVATE NETWORKS AND APPS INTO PUBLIC NETWORKS
    • 10.2.8 QUALITY OF SERVICE (QOS)
    • 10.2.9 NATIONAL SECURITY AND COMPETITIVE POLICIES
  • 10.3 NGN OSS/BSS: COMPONENTS, IMS IMPLICATIONS AND FRAMEWORKS
    • 10.3.1 NETWORK PLANNING AND ENGINEERING
    • 10.3.2 FAULT MANAGEMENT
    • 10.3.3 PERFORMANCE MANAGEMENT
    • 10.3.4 PROVISIONING AND SERVICE ACTIVATION
    • 10.3.5 INVENTORY MANAGEMENT
    • 10.3.6 BILLING AND CUSTOMER CARE
    • 10.3.7 MEDIATION
    • 10.3.8 REVENUE ASSURANCE
    • 10.3.9 CHALLENGES FOR OSS AND BSS
  • 10.4 OSS CHALLENGES
    • 10.4.1 STAKEHOLDER APPREHENSIONS
    • 10.4.2 FRAMEWORK TO INTEGRATE CUSTOMIZATION DEMANDS
    • 10.4.3 SMOOTH TRANSITION FROM EXISTING OSS FRAMEWORKS
    • 10.4.4 MULTI-VENDOR COORDINATION
    • 10.4.5 BSS CHALLENGES

Figures

  • Figure 1 SON use cases
  • Figure 2 LTE E-UTRAN Infrastructure Network Elements
  • Figure 3 LTE EPC Infrastructure Network Elements
  • Figure 4 Migration to 5G Timeline
  • Figure 5 3GPP specifications
  • Figure 6 Worldwide Mobile Data Usage
  • Figure 7 Antenna Tilt
  • Figure 8 Antenna tilt parameters
  • Figure 9 Electrical Tilt
  • Figure 10 Mechanical Tilt
  • Figure 11 Operational Efficiency for SON
  • Figure 12 NSN iSON Solution benefits
  • Figure 13 US Frequency Allocation Chart
  • Figure 14 Relationship between CRN and SON
  • Figure 15 Mind Commerce OSS and BSS Revenues Forecast
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