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

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.

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

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.

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
.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
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
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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