MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061034 A) filed by B. S. Abdur Rahman Crescent Institute Of Science & Technology, Chennai, Tamil Nadu, on May 14, for 'nanomaterial based adaptive antenna configuration technique using artificial intelligence for wireless communication systems.'
Inventor(s) include Dr. A. Priya; Dr. M. Vanmathi; Dr. R. Iniyavan; Mr. H. Hasan Babu; Dr. Athisaya Anushya T; Dr. M. Padma Usha; Dr. S. Syed Rafiammal; and Dr. K. Sarmila Har Beagam.
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: "The growing need for a high-performance wireless communication system necessitates the development of sophisticated antenna technologies that can adapt to a dynamic environment. It is suggested that a nanomaterial-based adaptive antenna configuration approach using artificial intelligence can improve the efficiency and reliability of communication. The system combines nanomaterial-enabled antenna designs with AI-based methods to achieve dynamic control of antenna parameters, including frequency, radiation pattern and gain. Nanomaterials have distinctive electromagnetic characteristics that facilitate the miniaturization, enhanced efficiency and reconfigurability of antenna systems. The artificial intelligence aspect examines real-time environmental factors, signal variability and user needs to maximize antenna performance. The machine learning models continually adjust the antenna settings to achieve maximum signal strength and minimal interference. The adaptive system optimizes bandwidth use and enables smooth communication under complex conditions. It is especially applicable to next-generation wireless technologies such as 5G and beyond. The suggested solution provides the system with a high degree of reliability, as it can react dynamically to changing network conditions. It also minimizes latency and enhances communication quality. AI implementation enables predictive adjustments based on the acquired patterns. Performance analysis and simulation demonstrate substantial improvements over traditional antenna systems. The system helps in the efficient use of the spectrum and optimization of energy. Its scalable architecture enables its incorporation into contemporary wireless infrastructures. In general, the suggested method is a clever and adaptable approach to a sophisticated wireless communication system."
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