Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model

arXiv:2605.26163 · cs.IT, cs.LG, math.IT, math.OC · Submitted 2026-05-24 · Read on arXiv

cs.IT, cs.LG, math.IT, math.OC

Submitted: 2026-05-24

Updated: 2026-09-17

Code: https://github.com/convexsoft/AWF

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

Terminology

• Foundation Model — 40× in this paper · explained in 3 episodes
• Adversarial Water-Filling — 16× in this paper
• Generalization — 14× in this paper · explained in 13 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Graph Neural Network (GNN) — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Accuracy — 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
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)
• OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning
• Coded Water-Filling for Multi-User Interference Cancellation
• Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems
• WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
• Deep Sets

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