Optimizing radio cell quality for capacity and quality of service using machine learning techniques

This invention helps improve mobile phone network performance. It allows a network operator to pinpoint a specific area and desired improvement. The system then collects relevant network data, including how users are interacting and how the network is managing itself, and uses an automated system, specifically a machine-learned Bayesian network initialized with expert knowledge, to figure out why the network isn't performing optimally. Based on this analysis, it provides a recommendation for improvement.

Why it matters: The core of this invention relies on automated classification and machine-learned models. Since 2018, the accessibility and power of machine learning frameworks and computational resources have vastly improved, making the development and deployment of sophisticated Bayesian networks and expert systems for real-time network optimization more efficient and effective.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning models

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