MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122501 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy College Of Engineering And; Technology; Malla Reddy Vishwavidyapeeth; Malla Reddy University; Malla Reddy Engineering College For Women; and Dr. Rachapudi Prabhakar, Medchal-Malkajgiri, Telangana, on Dec. 5, 2025, for 'reconfigurable rf transceiver using neural-adaptive frequency tuning.'
Inventor(s) include Dr. Rachapudi Prabhakar; Dr. M. Arun Kumar; Dr. Padmasolala Phani Tej; Dr. Lakshmi Gayathri; Mr. David Raju. K; Dr. E. John Alex; Dr. K. Sanjeeva Rao; and Deepthi Epuri.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The current invention reveals a reconfigurable radio-frequency (RF) transceiver system that is able to automatically change the frequency of operation/frequency, bandwidth, and modulation factors via a neural-adaptive tuning process. The traditional RF transceivers use hardwired and fixed-tuning circuits, and constant control algorithms that are still limited to operational ranges. Such static transceivers degrade their performance, signal fidelity and poor spectrum utilization when either environmental interference, channel congestion or spectral drift occur. The proposed invention is able to eliminate these limitations by integrating an intelligent neural-adaptive control system into the tuning architecture, and allows the transceiver to determine the real-time spectral conditions, optimal operating points, and dynamically reconfigure its RF front-end parameters. The invention has a multi-layered sensing mechanism integrated into it scanning continuously signal-to-noise ratio, interference signatures, received-signal strength indicators, and harmonic stability within the available frequency range. The processing of these inputs is done by a neural-adaptive engine that has been trained to be able to identify trends in spectral congestion, propagation distortion, and environmental variations. On the basis of this analysis, the transceiver performs fine-grained frequency retuning and adaptive filtering and impedance matching to ensure communication connections remain stable. This has made the device able to work effectively in a wide range of RF environments such as those in which signal conditions vary rapidly, the density of interferences is high, or multiple communications standards need to be met. This is one of the main benefits of the invention, as it can be kept in constant operation without being calibrated manually or having some sort of a reconfiguration script. The neural-adaptive controller anticipates spectral changes in the near future, and preemptively changes frequency of the oscillators, filter position, and power-amplifier control, to avert link degradation. This predictive capability will assure that the transceiver is maximally transmission quality, minimum energy consumption, and spectral agility. Given that, the invention can be conveniently interoperable with heterogeneous communication systems, it can be used in advanced wireless networks, defense communication systems, software-defined radios, and other novel IoT infrastructures. The invention is a strong, self-adaptive transceiver design, which offers excellent reliability, spectral efficiency, and adaptability in the coming era of communication systems where high reliability, spectral efficiency and dynamic adaptability are all needed."
Disclaimer: Curated by HT Syndication.
