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Adversarial Water-Filling: Theory, Algorithms and Foundation Model

arXiv — cs.LG•Wednesday, May 27, 2026 at 4:00:00 AM
NeutralArtificial Intelligence
  • What Happened

    The paper titled 'Adversarial Water-Filling: Theory, Algorithms and Foundation Model' presents a novel approach to competitive resource allocation in low Earth orbit (LEO) satellite spectrum sharing, addressing the minimax interaction between transmit power and worst-case interference. It introduces the Adversarial Water-Filling (AWF) problem, along with theoretical foundations and algorithms tailored for real-world applications, particularly under Gaussian channels and discrete constellations.

  • Why It Matters

    This development is significant as it enhances the understanding of resource allocation in satellite communications, potentially improving the efficiency of spectrum sharing among competing satellite constellations. The proposed wireless foundation model could lead to advancements in machine learning applications within this domain, fostering innovation in satellite technology and communication strategies.

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