MUMBAI, India, April 10 -- Intellectual Property India has published a patent application (202441074530 A) filed by Tejas Networks Limited, Bangalore, Karnataka, on Oct. 2, 2024, for 'ai-ml based positioning enhancements.'
Inventor(s) include Vikram Singh.
The application for the patent was published on April 10, under issue no. 15/2026.
According to the abstract released by the Intellectual Property India: "The invention introduces a novel method and system for enhancing positioning accuracy in wireless communication networks by utilizing advanced AI-ML (Artificial Intelligence-Machine Learning) techniques. The proposed system monitors and optimizes the performance of AI-ML models used for direct and assisted positioning based on measurements from reference nodes. It employs a framework for periodic Model Performance Monitoring (MPM), adjusting the AI-ML models based on real-time performance metrics such as position error, range error, and angular error. The method facilitates effective data collection from various transmission reception points (TRPs), ensuring consistent model training and inference. By integrating contextual information and measurements, the invention significantly improves positioning accuracy while reducing overhead in reporting and data management. This approach not only enhances the reliability of positioning in diverse environments but also ensures compatibility with existing infrastructure, thereby advancing the overall performance and efficiency of modern wireless communication systems."
Disclaimer: Curated by HT Syndication.
