Over the years, Cerion’s solutions have provided their customers value of hundreds of millions of dollars through cost savings and regaining revenue.
Frisco, Texas, US (PRWEB) March 21, 2012
Cerion Optimization Services Inc., a Texas-based engineering firm, has announced their network optimization solutions based on the mathematical science fields of Operations Research (OR) and Artificial Intelligence (AI). The solutions are designed for wireless operators to help them make better decisions in improving the end user experience, while minimizing the total cost of ownership of networks.
Cerion’s network optimization solutions adopt sophisticated optimization and machine learning algorithms, and apply them in mobile broadband network capacity planning and optimization processes. The optimization algorithms allow operators to most efficiently use their network resources by avoiding over-engineering and under-engineering their network capacity at individual element levels. Cerion’s solution can typically achieve 30% less in equipment expenditure comparing to the operators’ plans, while improving the dropped call rate by more than 10%.
Cerion’s solutions help operators to extract meaningful information from a vast amount of network measurement data, providing a clear picture of their network performance. Cerion’s machine learning techniques learn characteristics of network elements and accurately predict element capacity and potential performance issues, allowing proactive network operations and resolving problems before they occur. Automation with data mining algorithms has greatly improved efficiency in customers’ capacity management process, by cutting processing time from weeks to days.
“Cerion has been applying sophisticated mathematical modeling techniques to help our customers reduce costs, optimize revenue, and minimize risks as their networks transition to deliver broadband mobile internet” said Wei Yuan, Chief Scientist of Cerion.
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