Unlocking Cross-Scenario Physical Layer Security: A Mixture-of-Experts Framework with Generative Diffusion Models

arXiv:2609.26598 · eess.SP, cs.IT, cs.LG, math.IT · Submitted 2026-09-22 · Read on arXiv

eess.SP, cs.IT, cs.LG, math.IT

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: Accepted @ IEEE TIFS

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

Terminology

• Transformer — 16× in this paper · explained in 2 episodes
• Diffusion Model — 14× in this paper · explained in 8 episodes
• Generalization — 10× in this paper · explained in 13 episodes
• Attention Mechanism — 6× in this paper · explained in 3 episodes
• Fidelity — 6× in this paper · explained in 2 episodes
• Generative AI — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Feature Engineering — 5× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Diffusion Process — 3× in this paper · explained in 2 episodes
• Mixture-of-Experts (MoE) — 3× in this paper · explained in 7 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Mixture of Experts — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art

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