Company Filing History:
Years Active: 2019
Title: Innovations by Samuel Golomeke
Introduction
Samuel Golomeke is an accomplished inventor based in Overland Park, Kansas. He has made significant contributions to the field of mobile communication technology, holding a total of 2 patents. His work focuses on enhancing the detection and analysis of mobile communication devices within communication networks.
Latest Patents
Golomeke's latest patents include a "System and method for geographic, temporal, and location-based detection and analysis of mobile communication devices in a communication network." This innovative system comprises a database and a server that receives location data from a vendor server. It sets boundaries around each location included in the data and analyzes mobile communication device data to apply exclusions based on various criteria. The server then generates a list of non-excluded mobile communication devices.
Another notable patent is the "Mobile communication device automated home location register (HLR) assignment adaptation." This method involves adapting the assignment of user equipment (UEs) to home location registers (HLRs) in a wireless communication network. The process includes receiving location messages from a UE, analyzing the information, and reassigning the UE to a preferred HLR based on user profile rules.
Career Highlights
Samuel Golomeke is currently employed at Sprint Communications Company L.P., where he continues to innovate in the field of telecommunications. His expertise in mobile communication technology has positioned him as a valuable asset to the company.
Collaborations
Golomeke has collaborated with notable coworkers, including Michael Arthur Gailloux and Adam C. Pickett, contributing to various projects that enhance mobile communication systems.
Conclusion
Samuel Golomeke's contributions to mobile communication technology through his patents and work at Sprint Communications Company L.P. highlight his role as a significant innovator in the field. His advancements in location-based detection and HLR assignment adaptation are paving the way for improved communication networks.