Description :
The “ SON ( Self-Organizing Networks ) Ecosystem : 2015 – 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 7 SON submarkets , 6 regions and 15 countries from 2015 through to 2030 .
The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report .
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SON ( Self-Organizing Network ) technology minimizes the lifecycle cost of running a mobile network by eliminating manual configuration of equipment at the time of deployment , right through to dynamically optimizing performance and troubleshooting during operation . This can significantly reduce the cost of the operator ’ s services , improving the OpEx to revenue ratio . 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 HetNet deployments .
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 . Furthermore , the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data , predictive analytics and DPI ( Deep Packet Inspection ).
Despite challenges relating to implementation complexities and multi-vendor interoperability , SON revenue is expected to grow to more than $ 4 Billion by the end of 2017 , exceeding conventional mobile network optimization revenue by nearly 60 %.
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For more information contact sales @ orbisresearch . com Table of Contents :
Chapter 1 : Introduction 13 Chapter 2 : SON & Mobile Network Optimization Ecosystem 25 Chapter 3 : SON Technology , Use Cases & Implementation Architectures 37 Chapter 4 : SON Standardization 52
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