MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025449 A) filed by Sumathi D; and Cmr Institute Of Technology, Thokkampatti, Tamil Nadu, on March 4, for 'hybrid multi-model deep learning adaptive model for slot allocation in v2v communication systems.'
Inventor(s) include Sumathi D.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a hybrid multi-model deep learning adaptive slot allocation system for Vehicle-to-Vehicle (V2V) communication in intelligent transportation systems. The system integrates a sensor fusion module for aggregating vehicular, environmental, and network data, a spatial intelligence module based on a Graph Neural Network (GNN) for modeling dynamic inter-vehicle relationships, and a temporal intelligence module using a Long Short-Term Memory (LSTM) network for predicting future mobility and communication demand. A Deep Reinforcement Learning (DRL) based decision intelligence core dynamically determines optimal slot allocation and contention window parameters, while a communication execution module implements adaptive scheduling for real-time transmission. The invention employs a closed-loop feedback mechanism to continuously optimize packet delivery ratio, latency, and collision probability, thereby enabling scalable, priority-aware, and reliable V2V communication in high-mobility 5G/6G vehicular environments."
Disclaimer: Curated by HT Syndication.
