Sunnyvale, CA, United States of America

Michael Liljenstam

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Michael Liljenstam: Innovator in Wireless Technology

Introduction

Michael Liljenstam is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of wireless technology, holding 2 patents that address critical issues in network validation and fraud detection.

Latest Patents

One of his latest patents is titled "Minimization of Drive Test Report Validation." This invention involves a method performed by a network node for validating minimization of drive test (MDT) reports. The process includes receiving an MDT report generated by a wireless device, determining to perform validation on the report, and correlating it with reports from other nearby devices to establish a trust score. If the trust score falls below a certain threshold, corrective actions are taken regarding the MDT report.

Another significant patent is "Fraudulent Subscription Detection." This method identifies a second fraudulent subscription that replaces a first one. The system obtains notifications of the first fraudulent subscription and uses historical network data to generate a model. By providing live network data as input to this model, the system can identify the second fraudulent subscription and notify relevant entities.

Career Highlights

Michael Liljenstam is currently employed at Telefonaktiebolaget LM Ericsson (publ), a leading company in telecommunications. His work focuses on enhancing network reliability and security through innovative solutions.

Collaborations

He has collaborated with notable colleagues, including Christine Edman and Vasileios Giannokostas, contributing to advancements in their shared field.

Conclusion

Michael Liljenstam's contributions to wireless technology through his patents demonstrate his commitment to innovation and problem-solving in the telecommunications industry. His work continues to influence the way network validation and fraud detection are approached.

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