Press release
The SON (Self-Organizing Networks) Ecosystem: 2016 – 2030 – Opportunities, Challenges, Strategies & Forecasts
Amid growing demands for mobile broadband connectivity, mobile operators are keen to capitalize on SON to minimize rollout delays and operational expenditures associated with their ongoing LTE and small cell deployments.
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Originally targeted for the RAN (Radio Access Network) segment of mobile networks, SON technology is now also utilized in the mobile core and transport network segments. In addition, Wi-Fi access point OEMs are beginning to integrate SON features such as plug-and-play deployment, autonomous performance optimization, self-healing and proactive defense against unauthorized access.
Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $5 Billion by the end of 2020, exceeding conventional mobile network optimization revenue by a significant margin. Furthermore, the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data, predictive analytics and DPI (Deep Packet Inspection).
The “SON (Self-Organizing Networks) Ecosystem: 2016 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem including key market drivers, challenges, OpEx and CapEx savings potential, use cases, SON deployment case studies, future roadmap, value chain, vendor analysis and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 10 SON submarkets, 6 regions and 15 countries from 2016 through to 2030.
The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.
Browse Report Summary with TOC: http://www.reportbazzar.com/product/the-son-self-organizing-networks-ecosystem-2016-2030-opportunities-challenges-strategies-forecasts/
Table of Contents
1Chapter 1: Introduction16
1.1Executive Summary16
1.2Topics Covered18
1.3Forecast Segmentation19
1.4Key Questions Answered21
1.5Key Findings22
1.6Methodology23
1.7Target Audience24
1.8Companies & Organizations Mentioned25
2Chapter 2: SON & Mobile Network Optimization Ecosystem28
2.1Conventional Mobile Network Optimization28
2.1.1Network Planning28
2.1.2Measurement Collection: Drive Tests, Probes and End User Data29
2.1.3Post-Processing, Optimization & Policy Enforcement29
2.2The SON (Self-Organizing Network) Concept30
2.2.1What is SON?30
2.2.2The Need for SON30
2.3Functional Areas of SON31
2.3.1Self-Configuration32
2.3.2Self-Optimization32
2.3.3Self-Healing32
2.4Market Drivers for SON Adoption33
2.4.1Continued Wireless Network Infrastructure Investments33
2.4.2Optimization in Multi-RAN & HetNet Environments34
2.4.3OpEx & CapEx Reduction: The Cost Saving Potential36
2.4.4Improving Subscriber Experience and Churn Reduction36
2.4.5Power Savings37
2.4.6Enabling Small Cell Deployments37
2.4.7Traffic Management37
2.5Market Barriers for SON Adoption38
2.5.1Complexity of Implementation38
2.5.2Reorganization & Changes to Standard Engineering Procedures38
2.5.3Lack of Trust in Automation38
2.5.4Lack of Operator Control: Proprietary SON Algorithms38
2.5.5Coordination between Distributed and Centralized SON39
2.5.6Network Security Concerns: New Interfaces and Lack of Monitoring39
3Chapter 3: SON Technology, Use Cases & Implementation Architectures40
3.1Where Does SON Sit Within a Mobile Network?40
3.1.1RAN41
3.1.2Mobile Core41
3.1.3Mobile Backhaul & Fronthaul42
3.1.4Device-Assisted SON43
3.2SON Architecture44
3.2.1C-SON (Centralized SON)44
3.2.2D-SON (Distributed SON)45
3.2.3H-SON (Hybrid SON)46
3.3SON Use-Cases47
3.3.1Self-Configuration of Network Elements47
3.3.2Automatic Connectivity Management47
3.3.3Self-Testing of Network Elements47
3.3.4Self-Recovery of Network Elements/Software48
3.3.5Self-Healing of Board Faults48
3.3.6Automatic Inventory48
3.3.7ANR (Automatic Neighbor Relations)48
3.3.8PCI (Physical Cell ID) Configuration49
3.3.9CCO (Coverage & Capacity Optimization)49
3.3.10MRO (Mobility Robustness Optimization)49
3.3.11MLB (Mobile Load Balancing)50
3.3.12RACH (Random Access Channel) Optimization50
3.3.13ICIC (Inter-Cell Interference Coordination)50
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