John P Hogan

Title: Innovations of John P Hogan

Introduction

John P Hogan is a notable inventor based in San Jose, California. He has made significant contributions to the field of machine learning and communication technologies. His work focuses on enhancing link adaptation through innovative methods.

Latest Patents

John P Hogan holds a patent for a machine learning-based link adaptation. This patent describes various aspects of using machine learning to determine k-nearest neighbors (K-NNs) based on training data and the signal to interference and noise ratio (SINR) of a sub-band. The apparatus he developed can identify a channel quality indicator (CQI) associated with the lowest error rate for the K-NNs and provide this information to a base station. Additionally, a neural network (NN) can label CQIs to indicate the probability of selecting a specific CQI, with the highest probability CQI being sent to the base station. The invention also includes providing a covariance matrix to the NN to determine a rank indicator (RI) for the communication channel.

Career Highlights

John P Hogan is currently employed at Intel Corporation, where he continues to innovate in the field of technology. His work has been instrumental in advancing machine learning applications in communication systems.

Collaborations

John has collaborated with notable colleagues, including Xiaoran Fang and Matthew Hayes, contributing to various projects and innovations within the company.

Conclusion

John P Hogan's contributions to machine learning and communication technologies exemplify the impact of innovative thinking in modern engineering. His patent on machine learning-based link adaptation showcases his commitment to advancing the field.