This inventor holds 1 USPTO granted patent. Top assignee: Future Wei Technologies, Inc.. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Innovations of Xin Li in Wireless Communications
Introduction
Xin Li is an accomplished inventor based in Xian, China. He has made significant contributions to the field of wireless communications through his innovative patent. His work focuses on optimizing parameters in wireless networks using advanced machine learning techniques.
Latest Patents
Xin Li holds a patent titled "Automatically optimize parameters via machine learning." This patent relates to technology for configuring parameters in a wireless communications network. The invention involves determining parameter configurations that lead to changes in key quality indicators (KQI) and key performance indicators (KPI) based on collected data samples. The data samples are divided into subsets, which are then utilized in machine learning to optimize the parameter configurations for improved network performance. Xin Li's patent represents a significant advancement in the efficiency of wireless communications.
Career Highlights
Xin Li is currently employed at Future Wei Technologies, Inc., where he continues to develop innovative solutions in the field of wireless technology. His expertise in machine learning and wireless communications has positioned him as a valuable asset to his organization.
Collaborations
Xin Li collaborates with talented individuals such as Jin Yang and Ying Li, who contribute to the innovative projects at Future Wei Technologies, Inc. Their teamwork fosters a creative environment that drives technological advancements.
Conclusion
Xin Li's contributions to wireless communications through his patent demonstrate his commitment to innovation and excellence in technology. His work is paving the way for more efficient wireless networks, showcasing the importance of machine learning in modern communications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
