MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123350 A) filed by Anurag Engineering College, Suryapet, Telangana, on Dec. 7, 2025, for 'cognitive radio networks enhanced with neuromorphic computing for dynamic spectrum access.'
Inventor(s) include Mrs Gopathi Shobha; and Mr. T. Narasimha Rao.
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 invention introduces a neuromorphic-enhanced cognitive radio communication system engineered to deliver ultra-efficient dynamic spectrum access through biologically inspired intelligence. Leveraging spiking neural network (SNN) architectures, the system performs continuous learning and autonomous decision-making with significantly reduced computational and power requirements. The neuromorphic processing layer monitors real-time wireless activity, predicts interference patterns, and evaluates spectrum availability by mimicking neural spike-based signal interpretation, enabling rapid classification of spectral events with microsecond-level responsiveness.The decentralized learning framework allows each radio node to operate without centralized control, forming a distributed cognitive mesh capable of self-coordination, adaptive channel negotiation, and interference avoidance. This architecture supports predictive resource allocation by proactively selecting communication paths before congestion, jamming, or signal degradation occurs. By minimizing instruction cycles and memory dependence, the system drastically reduces hardware footprint and improves operational longevity for battery-powered and edge communication platforms.Designed for next-generation communication infrastructure, the invention enhances spectral efficiency, maintains low latency, and enables seamless shared-band operation across heterogeneous environments, including mobile networks, satellite communication, UAV relay networks, IoT ecosystems, and defense-grade tactical operations. The result is a scalable, resilient, and energy-conscious communication paradigm optimized for dynamic, spectrum-constrained wireless ecosystems."
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