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Self-Organizing Networks (SON) Challenges and Market Opportunities for 3G, LTE, and Beyond, Fourth Edition

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LONDON, June 24, 2014 /PRNewswire/ -- Reportbuyer.com has added a new market research report:

Self-Organizing Networks (SON) Challenges and Market Opportunities for 3G, LTE, and Beyond, Fourth Edition

http://www.reportbuyer.com/computing_electronics/networking/wireless/self_organizing_networks_son_challenges_market_opportunities_3g_lte_beyond_fourth_edition.html

Overview:

Mobile network operators are looking for more automation in order to efficiently manage their large networks, which consist of thousands of base stations with hundreds of settings each. The role of Self-organizing Networks (SON) is to enable efficient, and in some cases programmatic means of fine tuning cellular networks.

SON can fix fundamental problems (i.e. the tire is out of alignment analogy), such as poor coverage and/or dropped calls in an area and it can also be used for short-term, real-time issues (and then potentially be put back the way the network was in the first place. For example, the network may need optimization locally for a specific event such as a sporting event or live show/concert. In all cases, SON is designed to support wireless carriers desire to provide a multitude of different services with high quality of experience for the end-user.

Approximately 80-85% of global providers focus on SON only in the 3G portion of their networks today. This is because they want to first optimize what is stable and most of the network, while they work out other issues on 4G. The ultimate implementation of SON in 4G networks will bring many advantages. For example, 4G has something called "Reserved Quality" (talked about on 3G, but not really there) as a means of managing Quality of Service (QoS) and Quality of Experience (QoE). This represents a benefit of SON on LTE in terms of optimizing network to support the QoS/QoE metrics. Leading vendors, such as Amdocs (who acquired Celcite) recognize this and are building solutions for improving customer experience.

This research evaluates SON capabilities, vendors, and solutions. It analyzes the function of SON relative to 3G and 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.

Report Benefits:

SON forecasts and regional outlook
SON case studies and future outlook
Understand SON technology and solutions
Identify the benefits of SON in 4G networks
Understand network optimization alternatives
Recognize SON benefits including CapEx reduction
Identify SON vendors, offerings, and their market positions
Identify the alternative uses for SON including data analytics
Understand SON deployment, operation, and related solutions

Target Audience:

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

Companies in Report:

Actix
AIRCOM
AirHop
Alcatel Lucent
Aricent
Arieso
Ascom
Astellia
AT&T
Axis
Bytemobile
Celcite (Amdocs)
Celtro
Cisco
Commsquare
EarthComm
Ericsson
Huawei
Intucell
Lightsequared
Mentum
Motorola
NEC
Newfield Wireless
Nokia Siemens Networks
Optimi
P.I.Works
Plano Engineering
Qualcomm UltraSOn
Reverb
Schema
Symena
Telstra
Theta Networks
T-Mobile
TTG International
Tulinx
Ubiquisys
Vector
Verizon
Vodafone
Xceed
1 Introduction 9
1.1 Executive Summary 9
1.2 Topics Covered 11
1.3 Key Questions Answered 12
1.4 Target Audience 13
1.5 Companies Mentioned 14
2 SON Technology Overview 16
2.1 The Evolution towards Heterogeneous Networks 16
2.2 SON in 3GPP Release 11 18
2.2.1 Releases 8, 9 and 10 Standardization 18
2.2.2 3GPP Release 8 19
2.2.3 3GPP Release 9 19
2.2.4 3GPP release 10 20
2.2.5 3GPP Release 11 20
2.3 Self-Organizing Networks Overview 21
2.4 Self-Organizing Networks Benefits 26
2.4.1 Network Automation 27
2.4.2 Energy Saving 28
2.4.3 Lower Equipment Costs 28
2.4.4 Distributed/Self-organizing (DSO) 29
2.4.5 Cooperative Relaying (CR) in SON 30
2.4.6 Feedback Overhead in SON 31
2.4.7 Codebook-based Pre-coding SON 32
2.4.8 Feedback Delay in SON 32
3 SON Use Cases and Current Market Status 33
3.1 SON Applications 34
3.1.1 Self-Configuration 34
3.1.2 Self-Optimization 35
3.1.3 Self-Healing 36
3.1.4 Problems with Self-Healing 36
3.2 Installing Phases 37
3.2.1 Centralized SON 38
3.2.2 Distrusted SON 39
3.2.3 Localized SON 39
3.2.4 Hybrid SON 39
3.3 LTE SON Releases 42
3.4 Automatic Neighbor Relation (ANR) 44
3.4.1 Installing ANR 44
3.5 Load Balancing in SON 47
3.6 Mobility Robustness Optimization (MRO) 49
3.7 Distributed Clustering in SON 51
3.8 Operational Use Cases 56
3.8.1 ICIC Enhancement 57
3.9 Urban Self-Organizing Networks 57
3.9.1 Home/Residential Deployments: 58
3.9.2 Enterprise Deployments: 58
3.9.3 Metro and Public Space Deployments: 59
3.9.4 Rural Deployments: 59
3.9.5 SON based on Small Cell Deployments 59
4 Antenna Parameters and Antenna Tilt Cost Reduction 62
4.1 Electrical Tilt 66
4.2 Mechanical Tilt 68
4.3 SON vs. SON-related Technologies/Solutions 68
4.4 Installing Antenna Tilt and its Parameters 70
4.5 Features and ROI of the Antenna Tilts 71
4.5.1 Overcoming Performance Issues in a Specific DAS Coverage Area 71
4.5.2 Energy Saving 75
5 SON Business Value 77
5.1 NGMN Use Case 82
5.2 Operators Benefits 84
5.3 Values of the SON to Operators 87
5.3.1 Economic Benefits 87
5.3.2 SON Implementation Expenditures (IMPEX) 88
5.3.3 SON Capital Expenditures (CAPEX) 89
5.3.4 SON Operational Expenditures (OPEX) 89
5.3.5 Smarter Self Organizing Networks 89
5.4 Recommendations for Operators to Deploy LTE 90
6 SON Vendor Landscape 94
6.1 Auto Configuration and SON 97
6.2 Optimi Solutions 100
6.2.1 Clients' feedback on the Solution 101
6.2.2 SWOT Analysis for Optimi 107
6.2.3 Optimi Multi-Technology Self-Organizing Networks (SON for the 3G) 108
6.3 Ericsson SON Solution 109
6.3.1 Advanced SON from Ericsson 111
6.4 Actix 113
6.4.1 SON by Actix 115
6.4.2 Actix SWOT 117
6.4.3 Client's Feedback on Actix SON Solution 118
6.4.4 NEC and Actix SON 119
6.5 Motorola 120
6.5.1 Motorola SWOT 121
6.5.2 Motorola SON services 123
6.5.3 Features of Motorola SON 123
6.6 Huawei SON Solution 126
6.6.1 Phase one: Planning 131
6.6.2 Phase Two: Deployment 132
6.6.3 Phase Three: Optimization 133
6.6.4 Phase Four: Maintenance 134
6.6.5 Huawei SON Analysis 135
6.7 Nokia-Siemens Networks SON Solution 135
6.7.1 NSN SON Analysis 139
6.7.2 Intelligent Self Organizing Networks (iSON) from NSN 141
6.8 AirHop 141
6.8.1 Airhop SON Solution Analysis 142
6.8.2 Client's Feedback on Airhop SON Solutions 143
6.9 Qualcomm UltraSON 143
6.9.1 Qualcomm UltraSON Solution Analysis 143
6.10 Cisco 146
6.10.1 Cisco Intucell SON Analysis 147
6.11 Xceed Technologies 148
6.11.1 Xceed Xynergy SON Analysis 149
6.12 AIRCOM 150
6.12.1 AIRCOM I-VIEW SON Solution 150
6.13 Celcite (Amdocs) 150
6.13.1 Celcite Value Proposition 151
7 SON Provider Comparative Analysis 152
7.1 Comparison between SON Providers by Clients Feedback 155
7.2 Comparison between SON Provider by Setup Cost 156
7.3 SON Start-ups 157
7.3.1 Who is Dominating the Market and Why 158
7.3.2 The Future of LTE, 5G and Beyond 161
7.4 Where Vendors will be in Five Years 162
7.5 RAN Optimization Vendors Analysis 163
8 SON and RAN Optimization Market 2014-2019 165
8.1 Factors Driving the SON Market 165
8.2 Key Market Trends 165
8.3 2014 Market Update 166
8.4 Cognitive Radio Network (CRN) and SON 167
8.5 Self-Organizing Networks and RAN Optimization Market 2014-2019 172
8.6 LTE RAN Equipment Market 2014-2019 173
9 Conclusions and Recommendations 176
9.1 Carrier SON Deployments 176
9.1.1 Mobile Optimization 177
9.1.2 Optimization Solutions 178
9.2 Leveraging SON for other Purposes 178
9.2.1 SON, Big Data, and Predictive Analytics 179
9.2.2 SON and the Two-sided Business Model (Asymmetric Business Model) 179
9.2.3 Wireless Carrier Offerings 180
10 APPENDIX 181
10.1 Long Term Evolution Market and Technology Overview 181
10.2 LTE Market Overview 181
10.2.1 Market Drivers 181
10.2.2 The Shift from Voice to Data Centric Services 181
10.2.3 The Demand for Higher Data ARPUs 182
10.2.4 Capacity Management and OPEX Reduction 183
10.2.5 Lack of Fixed Broadband in Low Density Areas 183
10.2.6 Vendor Commitments 184
10.3 Market Barriers 185
10.3.1 Spectrum Congestion 185
10.3.2 High Investments for Early Adopters 186
10.3.3 Consumer Device Challenges 187
10.3.4 Broadband Pricing and International Roaming 187
10.4 LTE Technology Overview 188
10.4.1 Technology Overview 189
10.4.2 Performance Metrics 190
10.4.3 LTE Advanced 190
10.4.4 Integration with Deployed Networks 191
10.5 Next Generation Network (NGN) OSS/BSS 192
10.5.1 NGN OSS Overview 192
10.5.2 Drivers of NGN 195
10.5.3 Telecom Operator and Vendor Interests 195
10.5.4 Improvement in Access Technologies 197
10.5.5 Reduced Vendor Dependency 198
10.5.6 Operational Challenges 199
10.5.7 Integration of Multiple Private Networks and Application into Public Networks 200
10.5.8 Quality of Service (QoS) 200
10.5.9 National Security and Competitive Policies 201
10.6 NGN OSS/BSS: Components, IMS Implications and Frameworks 203
10.6.1 Network Planning and Engineering 203
10.6.2 Fault Management 204
10.6.3 Performance Management 204
10.6.4 Provisioning and Service Activation 205
10.6.5 Inventory Management 206
10.6.6 Billing and Customer Care 206
10.6.7 Mediation 208
10.6.8 Revenue Assurance 209
10.6.9 Challenges for OSS and BSS 210
10.7 OSS Challenges 211
10.7.1 Stakeholder Apprehensions 211
10.7.2 Framework to Integrate Customization Demands 213
10.7.3 Smooth Transition from Existing OSS Frameworks 213
10.7.4 Multi-vendor Coordination 216
10.7.5 BSS Challenges 216

List of Figures

Figure 1: HetNet Network Topology 18
Figure 2: SON Use Cases 25
Figure 3: LTE SON Releases 43
Figure 4: Comparisons between Centralized, Distributed and Localized SON 46
Figure 5: SON Operational Use Cases 56
Figure 6:Self Organizing Networks (SON) Concept 60
Figure 7: Antenna Tilt 64
Figure 8: Electrical Tilt 67
Figure 9: Mechanical Tilt 69
Figure 10: Operational Efficiency for SON 84
Figure 11: Fundamental SON Capabilities 98
Figure 10: Strategic Requirements and Business Drivers for SON 99
Figure 11: Types of SON Architectures 99
Figure 14: Qualcomm UltraSON Solution 146
Figure 15: USA Frequency Allocation Chart 169
Figure 14: SON and CRN 171
Figure 17: Global SON and RAN Optimization Market 2014-2019 173
Figure 18: Global LTE RAN Equipment Spending 2014-2019 175

List of Tables

Table 1: SON Vendor Rankings 156
Table 2: SON Cost Comparison 156
Table 3: SON Optimization Market Revenue 2014 - 2019 172
Table 4: LTE RAN Equipment Market Revenue 2014 - 2019 174

Read the full report:
Self-Organizing Networks (SON) Challenges and Market Opportunities for 3G, LTE, and Beyond, Fourth Edition

http://www.reportbuyer.com/computing_electronics/networking/wireless/self_organizing_networks_son_challenges_market_opportunities_3g_lte_beyond_fourth_edition.html

For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: query@reportbuyer.com  
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

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