MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069312 A) filed by Dr. Parashiva Murthy B M; Kuriti Joginaidu; Sayan Samanta; Dr. S. Muthukumar; Sayahna R V; Mrs. M. Kalpana; and Dr G Brindha on June 02, 2026, for Autonomous Signal Processing Unit For 5g Wireless Communication With Ai-Assisted Interference Mitigation.
Inventors include Dr. Parashiva Murthy B M; Kuriti Joginaidu; Sayan Samanta; Dr. S. Muthukumar; Sayahna R V; Mrs. M. Kalpana; and Dr G Brindha.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Autonomous Signal Processing Unit for 5G Wireless Communication with AI-Assisted Interference Mitigation The present invention relates to an Autonomous Signal Processing Unit for 5G Wireless Communication with AI-Assisted Interference Mitigation designed to improve communication reliability, spectral efficiency, latency reduction, and network adaptability in next-generation wireless systems. The invention integrates advanced signal processing architectures, artificial intelligence algorithms, adaptive filtering techniques, and autonomous network optimization mechanisms into a unified communication processing platform suitable for 5G and beyond wireless environments. The proposed system comprises a high-speed signal processing engine configured to receive, analyze, and optimize wireless communication signals transmitted across multiple frequency bands including sub-6 GHz and millimeter-wave spectrums. The system continuously monitors channel conditions, noise levels, signal distortions, multipath fading, and interference sources generated by neighboring devices, dense network deployments, or environmental obstacles. Artificial intelligence and machine learning algorithms embedded within the processing unit autonomously identify interference patterns, predict signal degradation events, and dynamically adjust transmission parameters such as modulation schemes, beamforming directions, coding rates, frequency allocation, and power distribution to maintain communication quality. The invention further incorporates adaptive interference cancellation modules, neural network-assisted channel estimation systems, and self-learning spectrum management frameworks capable of enhancing throughput, reducing packet loss, and minimizing latency in real time. Cloud and edge computing integration enable collaborative optimization across distributed network nodes while supporting autonomous decision-making for smart communication infrastructure. The invention is particularly suitable for applications including smart cities, autonomous vehicles, industrial automation, remote healthcare, defense communication systems, Internet of Things ecosystems, and high-density urban wireless networks. By combining intelligent signal processing, autonomous adaptation, and AI-assisted interference mitigation, the proposed invention significantly improves wireless communication efficiency, network stability, and quality of service in highly dynamic 5G communication environments.
Disclaimer: Curated by HT Syndication.
