Matthew R Rohrer

Title: Matthew R. Rohrer and Neural Network-Based Signal-to-Noise Ratio Prediction

Introduction

Matthew R. Rohrer is an inventor based in South Jordan, Utah. His patent work includes a method for using time-series forecasting to predict signal-to-noise ratio (SNR) values in mobile networks, supporting the prediction of potential link outages.

Latest Patents

Rohrer is associated with 1 patent, titled “Neural Network-Based Signal-to-Noise Ratio Prediction in Mobile Networks.” The invention obtains two correlated arrays of time-series data: one containing magnitude values for a communication property and another containing angle values for a second communication property. It modulates the first array with the second, normalizes the resulting data, and provides it to a trained time-series forecasting model. The model then produces one or more predicted SNR values, which can help identify possible link outages.

Career Highlights

Rohrer is associated with L3Harris Technologies, Inc. His patent reflects the application of neural networks and time-series forecasting to mobile-network performance prediction.

Collaborations

The provided information identifies Stephen N. Jenkins and Chad S. Komer as Rohrer’s coworkers. Their specific roles in the patent or related work are not stated.

Conclusion

Matthew R. Rohrer’s patent describes a data-processing approach that uses neural-network-based forecasting to predict SNR values and help anticipate mobile-network link outages.