Real-Time Neuromorphic Spectrum Intelligence Simulator
We present the Real-Time Neuromorphic Spectrum Intelligence Simulator (RT-NuSIS), a modular framework to study spiking neural network (SNN) and memristor-inspired agents for dynamic spectrum access under constrained energy budgets and adversarial conditions. RT-NuSIS couples leaky integrate-and-fire neuronal dynamics, memristive synaptic models, physics-informed energy-harvesting models (triboelectric and RF), and adversary models including jamming and Byzantine behavior. We formalize the simulator mathematically, prove boundedness, present a mean-field adversary threshold, analyze per-step complexity, and provide a reproducible benchmark harness for energy-per-inference, latency, and rob...
| Authors | Navaneetha Krishnan Kamalakannan |
|---|---|
| Primary category | eess.SP |
| Published | 1 September 2026 |
| Last updated at source | 1 September 2026 |
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