Cerion Adopts Sophisticated Optimization and Machine Learning Algorithms in their Wireless Broadband Optimization Solutions

With its advanced optimization and machine learning algorithms, Cerion’s optimization solution has helped mobile broadband operators to improve their network performance by more than 10%, and reduce expenditures by 30%. 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. For the original version on PRWeb visit: http://www.prweb.com/releases/prweb2012/3/prweb9304287.htm