WhiteNet: Robust Identification of Overlapping IEEE 802.11 Signals Across Unseen Channels

arXiv:2608.06581 · cs.CR, eess.SP · Submitted 2026-08-06 · Read on arXiv

Ildi Alla, Vincent Lenders

cs.CR, eess.SP

Submitted: 2026-08-06

Updated: 2026-08-10

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 29× in this paper · explained in 1 episode
• Decoder — 14× in this paper · explained in 2 episodes
• Robustness — 14× in this paper · explained in 6 episodes
• Fingerprinting — 12× in this paper · explained in 2 episodes
• Distillation — 9× in this paper · explained in 2 episodes
• Augmentation — 8× in this paper · explained in 2 episodes
• Edge Deployment — 8× in this paper · explained in 2 episodes
• Coherence — 7× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Knowledge Distillation — 5× in this paper · explained in 15 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Contrastive Learning — 3× in this paper · explained in 9 episodes
• Distribution Shift — 3× in this paper · explained in 12 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Edge Devices — 3× in this paper · explained in 2 episodes
• Meta-learning — 3× in this paper · explained in 3 episodes
• Ablation Study — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Domain Shift — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 14 episodes
• Overfitting — 2× in this paper · explained in 2 episodes
• Spectral Tilt — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 9 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Power Spectrum — 1× in this paper · explained in 2 episodes
• Representation Geometry — 1× in this paper · explained in 2 episodes
• Signal-to-Noise Ratio (SNR) — 1× in this paper · explained in 6 episodes
• Spectral Signature — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 16 episodes
• Transformers — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• On First-Order Meta-Learning Algorithms
• Distilling the Knowledge in a Neural Network
• Instance Normalization: The Missing Ingredient for Fast Stylization

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