MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050139 A) filed by Srinivasa Ramanujan Institute Of Technology; Y. Madhusudhana; E. Dinesh Karthik; D. Sri Divya; and Y. Vinod Kumar, Ananthapuramu, Andhra Pradesh, on April 20, for 'wiradrl: intelligent cross-technology resource allocation using deep reinforcement learning.'
Inventor(s) include Srinivasa Ramanujan Institute Technology; Y. Madhusudhana; E. Dinesh Karthik; D. Sri Divya; and Y. Vinod Kumar.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The primary aim of this invention is to design and develop an intelligent cross-technology resource allocation system using Deep Reinforcement Learning (DRL) to optimize wireless network performance in heterogeneous communication environments. Modern wireless systems consist of multiple coexisting technologies such as Wi-Fi, LTE, 5G, and IoT networks, which share limited spectrum and resources. Conventional static and optimization-based allocation methods are unable to adapt efficiently to dynamic network conditions, resulting in inefficient spectrum utilization, increased interference, and reduced system performance. The proposed WIRADRL framework introduces an adaptive and autonomous resource allocation mechanism that learns optimal allocation strategies through continuous interaction with the wireless environment. The system models the wireless network as a Markov Decision Process (MDP), where a DRL agent observes network parameters such as channel conditions, interference levels, traffic demand, and resource availability. Based on these observations, the agent dynamically allocates spectrum, transmission power, and scheduling resources to maximize overall network efficiency and long-term performance. The DRL agent utilizes deep neural networks to handle high-dimensional state spaces and complex decision-making scenarios. Through training and policy optimization, the system continuously improves its allocation strategy, enabling efficient spectrum utilization, interference mitigation, and improved fairness among wireless technologies. The framework enhances network scalability, robustness, and adaptability in real-time environments. This invention significantly improves spectral efficiency, throughput, and resource utilization while reducing interference and operational complexity. The WIRADRL system is particularly suitable for next-generation wireless networks, including 5G, IoT, and future 6G systems, where intelligent and adaptive resource management is essential. The invention contributes to the development of autonomous wireless networks capable of self-learning and self- optimization, thereby improving communication efficiency and supporting the growing demand for wireless connectivity."
Disclaimer: Curated by HT Syndication.
