MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061639 A) filed by Dr. P. C. Praveen Kumar; Dr. D. Venkata Srihari Babu; Dr. J. Salai Thillai Thilagam; Dr. P. Anil Kumar; Sri. A. Venkata Subba Reddy; Sri. I. Venkata Rameswar Reddy; Sri. Burujukota Siva Reddy; and Sri. S. Ramesh Babu, Kurnool, Andhra Pradesh, on May 15, for 'an intelligent ai-based system for real-time antenna parameter optimization in wireless devices.'
Inventor(s) include Dr. P. C. Praveen Kumar; Dr. D. Venkata Srihari Babu; Dr. J. Salai Thillai Thilagam; Dr. P. Anil Kumar; Sri. A. Venkata Subba Reddy; Sri. I. Venkata Rameswar Reddy; Sri. Burujukota Siva Reddy; and Sri. S. Ramesh Babu.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "Wireless communication technologies are rapidly developing and the need for intelligent antenna systems that can adapt to dynamic operating environments in real time is growing. A novel intelligent system for real-time optimization of antenna parameters in wireless devices is presented to improve communication performance, signal quality and network efficiency. It uses artificial intelligence algorithms, such as machine learning and adaptive optimization, to continuously adjust and fine-tune antenna characteristics, including frequency, gain, bandwidth, radiation pattern and impedance matching. By analyzing real-time environmental and network data, optimal antenna configurations are determined under different signal and interference conditions. The proposed system dynamically adjusts antenna parameters to enhance wireless communication effectiveness, minimize signal loss and mitigate interference. The AI-driven optimization framework supports adaptive learning, enabling the system to improve its performance based on historical and real-time operational data. The smart antenna control mechanism improves the connectivity, reliability and spectrum use of modern wireless devices. It is suitable for applications such as 5G networks, Internet of Things (IoT) devices, smart communication systems and mobile network applications. Using simulation and performance analysis, it is shown that signal strength is higher, latency is shorter and communication stability is better than in conventional static antenna systems. It is scalable and can be integrated into various wireless platforms and communication infrastructures. Moreover, the system can be operated efficiently in terms of energy consumption by optimizing the antenna's performance based on communication needs. The proposed AI-based antenna optimization system offers a flexible, intelligent and high-performance solution for next-generation wireless communication technologies, making it an ideal choice for researchers and practitioners in the field."
Disclaimer: Curated by HT Syndication.
