Optimizing Radio Parameters Using AI
The Problem
It can take telecom companies thousand of hours to perform a network-wide analysis for optimizing radio parameters using conventional approach. Optimized radio parameters can increase spectrum efficiency between bands and improved throughput. This in turn results in better performance for the customers. Can AI models be used to optimize radio parameters efficiently?
Solution
Machine learning models deployed on Kranium can be used for optimizing radio parameters in a very short time. According to reports, a leading mobile operator in Japan was able to use AI to improve network throughput by 10%. The entire process just took 30 minutes with AI models, causing results to exceed expectations.
In addition, AI models can be used to effectively determine which part of the spectrum should be used for which user and with what parameters.
The new frontier of AI is driving a major paradigm shift in countless markets worldwide. Major organizations across industries are making AI a top priority. Join the global community of leaders who are pursuing rampant automation and innovation, positioning themselves to lead the market with Kranium AI.