Summary

この調査レポートは自己最適化ネットワーク（SON）の機能とソリューションについて調査し、技術別、インフラ別、ソリューション別、サービス別に分析・予測結果を掲載しています。

Overview

This research evaluates Self Organizing Network (SON) capabilities and solutions. It analyzes the function of SON and evaluates the benefits of deployment and operation. The report includes forecasts from 2020 through 2025. The report is a balance between technical assessment of SON in terms of implementation, operations, optimization, and future issues with business issues. The business issues and opportunities sections provide critical analysis of the impact of SON from a cost savings and network efficiency perspective. Wireless carrier business operations groups will want to pay particular attention to the issues evaluated in this research to better understand the post-SON network.

LTE and 5G provide substantial benefits to wireless carriers including greater capacity for wireless applications and services. 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. 5G networks in particular will be much more complex and this will facilitate a need for improved operations and OSS. A key driver for improving OSS for LTE and 5G systems, the Self Organizing Network (SON) has been introduced as part of the network framework. Mind Commerce sees SON having a dramatically positive effect on network operations and OSS.

SON is largely a software-only solution today. In other words, SON is not a physical solution (such as Remote Electrical Tilt solutions). Mobile optimization comes in many forms ranging from RF to QoS for data management and applications. SON and related technologies/solutions fill a key role as it provides the ability to provide both static and near real-time information. It is important to note that smart antennas, DAS, and cloud RAN are all in the same family of optimizing operations, but not considered all part of SON.

It is also important to recognize that smart antennas, DAS, and cloud RAN are all in the same family of optimizing operations, and while related (in the network optimization family), are not considered part of SON in the strictest sense. Working hand-in-hand with SON to optimize wireless networks, smart antennas provide simultaneous and efficient coverage for 2G, 3G, and LTE. This translates into higher throughput and improved coverage for when and where customers need it. While this is helpful in terms of pre-5G optimization, it will arguably become critical for support of 5G network optimization and support for true 5G mobility with continuous connection within a given coverage area.

Target Audience:

• ICT infrastructure providers
• RF performance optimization vendors
• NGOs and government R&D organizations
• Managed communication services vendors

Select Report Findings:

• The global multi-vendor SON platform market will reach $7.28B USD by 2025
• The global market for SON security solutions and updates will reach $9.09B by 2025
• SON will increasingly be used for non-network functions including business data analytics
• SON will be relied upon for location analytics as a network-based complement to smartphone GPS

Companies in Report:

• Airhop Communications
• Airspan
• Amdocs
• Ascom Holding AG
• BLiNQ Networks
• Bwtech
• Casa Systems
• Ccs (Cambridge Communication Systems) Ltd.
• Cellwize Wireless Technologies Pte ltd.
• Cisco
• Comarch
• Commscope
• Ericsson
• Huawei Technologies Co., Ltd.
• Mera
• NEC
• Nokia
• P.I. Works
• Qualcomm
• RadiSys Corporation
• Reverb Networks
• Rohde & Schwarz
• Siemens AG
• Teoco Corporation
• Verizon
• Viavi Solutions
• ZTE Corporation
  

   

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Table of Contents

Table of Contents

1.0 Executive Summary

2.0 SON Technology Overview

2.1 The Evolution towards Heterogeneous Networks
2.2 SON in 3GPP Release 11
2.2.1 Releases 8, 9 and 10 Standardization
2.2.2 3GPP Release 8
2.2.3 3GPP Release 9
2.2.4 3GPP release 10
2.2.5 3GPP Release 11
2.3 Self-Organizing Networks Overview
2.4 Self-Organizing Networks Benefits
2.4.1 Network Automation
2.4.2 Energy Saving
2.4.3 Lower Equipment Costs
2.4.4 Distributed/Self-Organizing (DSO)
2.4.5 Cooperative Relaying (CR) in SON
2.4.6 SON Feedback Overhead
2.4.7 Codebook-based Pre-coding SON
2.4.8 SON Feedback Delays

3.0 SON Use Cases and Market Status

3.1 SON Applications
3.1.1 Self-Configuration
3.1.2 Self-Optimization
3.1.3 Self-Healing
3.1.4 Problems with Self-Healing
3.2 Implementation and Operations Options
3.2.1 Centralized SON
3.2.2 Distrusted SON
3.2.3 Localized SON
3.2.4 Hybrid SON
3.3 SON Releases
3.4 Automatic Neighbor Relation (ANR)
3.5 SON Load Balancing
3.6 Mobility Robustness Optimization (MRO)
3.7 Distributed Clustering in SON
3.8 Operational Use Cases
3.9 ICIC Enhancement
3.10 Urban Self-Organizing Networks
3.10.1 Home/Residential Deployments:
3.10.2 Enterprise Deployments:
3.10.3 Metro and Public Space Deployments:
3.10.4 Rural Deployments:
3.10.5 SON and Small Cell Deployments

4.0 SON and Smart Antennas

4.1 Electrical Tilt
4.2 Mechanical Tilt
4.3 SON vs. SON-related Technologies/Solutions
4.4 Installing Antenna Tilt and its Parameters
4.5 Antenna Tilt Features and ROI
4.5.1 Overcoming Performance Issues in a Specific DAS Coverage Area
4.5.2 Energy Savings

5.0 SON Business Value

5.1 NGMN Use Case
5.2 Operators Benefits
5.3 Values of the SON to Operators
5.3.1 Economic Benefits
5.3.2 SON Implementation Expenditures (IMPEX)
5.3.3 SON Capital Expenditures (CAPEX)
5.3.4 SON Operational Expenditures (OPEX)
5.3.5 Smarter Self Organizing Networks
5.4 Recommendations for Operators to Deploy LTE

6.0 SON Vendor Landscape

6.1 Airhop Communications
6.2 Airspan
6.3 Amdocs
6.4 Ascom Holding AG
6.5 BLiNQ Networks
6.6 Bwtech
6.7 Casa Systems
6.8 Ccs (Cambridge Communication Systems) Ltd.
6.9 Cellwize Wireless Technologies Pte ltd.
6.10 Cisco
6.11 Comarch
6.12 Commscope
6.13 Ericsson
6.14 Huawei Technologies Co., Ltd.
6.15 Mera
6.16 NEC
6.17 Nokia
6.18 P.I. Works
6.19 Qualcomm
6.20 RadiSys Corporation
6.21 Reverb Networks
6.22 Rohde & Schwarz
6.23 Siemens AG
6.24 Teoco Corporation
6.25 Verizon
6.26 Viavi Solutions
6.27 ZTE Corporation

7.0 Self Organizing Network Market Analysis and Forecasts

7.1 Global SON Market 2020 - 2025
7.2 SON Revenue by Platform Type 2020 - 2025
7.3 SON Revenue by Architecture Type 2020 - 2025
7.4 SON Revenue by Access Network Technology Type 2020 - 2025
7.5 SON Revenue by Network Segment Type 2020 - 2025
7.6 SON Revenue for RAN Optimization by Infrastructure 2020 - 2025
7.7 SON Revenue for Applications 2020 - 2025
7.8 SON Revenue by Service Type 2020 - 2025
7.8.1 SON Revenue by Professional Service Type 2020 - 2025
7.8.2 SON Revenue by Managed Service Type 2020 - 2025
7.9 Conventional Mobile Network Planning and Optimization Revenue 2020 - 2025
7.10 Conventional Mobile Network Planning and Optimization Revenue by Region 2020 - 2025
7.11 SON Revenue by Region 2020 - 2025
7.11.1 North America SON Revenue by Country 2020 - 2025
7.11.2 South America SON Revenue by Country 2020 - 2025
7.11.3 Europe SON Revenue by Country 2020 - 2025
7.11.4 APAC SON Revenue by Country 2020 - 2025
7.11.1 MEA SON Revenue by Country 2020 - 2025

Figures

Figure 1: HetNet Network Topology
Figure 2: SON Use Cases
Figure 3: LTE SON Releases
Figure 4: Centralized, Distributed and Localized SON Comparison
Figure 5: SON Operational Use Cases
Figure 6: Self Organizing Networks and Small Cells
Figure 7: Antenna Tilt
Figure 8: Electrical Tilt
Figure 9: Mechanical Tilt
Figure 10: SON Operational Efficiency
Figure 11: Fundamental SON Capabilities
Figure 12: Strategic Requirements and Business Drivers for SON
Figure 13: SON Architecture Configurations
Figure 14: Global SON Market 2020 - 2025
Figure 15: SON Revenue by Platform Type 2020 - 2025
Figure 16: SON Revenue by Architecture Type 2020 - 2025
Figure 17: SON Revenue by Access Network Technology Type 2020 - 2025
Figure 18: SON Revenue by Network Segment Type 2020 - 2025
Figure 19: SON Revenue for RAN Optimization by Infrastructure 2020 - 2025
Figure 20: SON Revenue for Applications 2020 - 2025
Figure 21: SON Revenue by Service Type 2020 - 2025
Figure 22: SON Revenue by Professional Service Type 2020 - 2025
Figure 23: SON Revenue by Managed Service Type 2020 - 2025
Figure 24: Conventional Mobile Network Planning & Optimization Revenue 2020 - 2025
Figure 25: Conventional Mobile Network Planning & Optimization Revenue by Region 2020 - 2025
Figure 26: SON Revenue by Region 2020 - 2025
Figure 27: North America SON Revenue by Country 2020 - 2025
Figure 28: South America SON Revenue by Country 2020 - 2025
Figure 29: Europe SON Revenue by Country 2020 - 2025
Figure 30: APAC SON Revenue by Country 2020 - 2025
Figure 31: MEA SON Revenue by Country 2020 - 2025

Tables

Table 1: Global SDM Market 2020 - 2025
Table 2: SON Revenue by Platform Type 2020 - 2025
Table 3: SON Revenue by Architecture Type 2020 - 2025
Table 4: SON Revenue by Access Network Technology Type 2020 - 2025
Table 5: SON Revenue by Network Segment Type 2020 - 2025
Table 6: SON Revenue for RAN Optimization by Infrastructure 2020 - 2025
Table 7: SON Revenue for Applications 2020 - 2025
Table 8: SON Revenue by Service Type 2020 - 2025
Table 9: SON Revenue by Professional Service Type 2020 - 2025
Table 10: SON Revenue by Managed Service Type 2020 - 2025
Table 11: Conventional Mobile Network Planning and Optimization Revenue 2020 - 2025
Table 12: Conventional Mobile Network Planning & Optimization Revenue by Region 2020 - 2025
Table 13: SON Revenue by Region 2020 - 2025
Table 14: North America SON Revenue by Country 2020 - 2025
Table 15: South America SON Revenue by Country 2020 - 2025
Table 16: Europe SON Revenue by Country 2020 - 2025
Table 17: APAC SON Revenue by Country 2020 - 2025
Table 18: MEA SON Revenue by Country 2020 - 2025