Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model
Competitive resource allocation problems over frequency and space can be formulated as minimax interaction between transmit power and worst-case interference. This formulation naturally arises in multi-operator low Earth orbit (LEO) satellite spectrum sharing, where transmissions from competing constellations interfere in real-time. Under Gaussian channels, the corresponding power-allocation problem admits a convex-concave formulation with a unique saddle point. Discrete constellations yield generally nonconvex mercury/water-filling formulations. In this paper we propose the adversarial water-filling (AWF) problem with corresponding theory and algorithms for these settings. In addition, w...
| Authors | Xindi Tong, Chee Wei Tan, H. Vincent Poor |
|---|---|
| Primary category | cs.IT |
| Published | 24 May 2026 |
| Last updated at source | 17 September 2026 |
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