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Rethinking Wireless Communications through Formal Mathematical AI Reasoning

Changyuan Zhao, Jiacheng Wang, Dusit Niyato, Zan Li, Abbas Jamalipour, Shiwen Mao, Xianbin Wang, Dong In Kim

arXiv:2604.25155Published April 28, 20260 citations
  • eess.SP

Abstract

Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from domain experts. Recent advances in AI mathematical reasoning, from formal theorem proving to large language model (LLM)-based derivation, offer a promising but largely unexplored path forward. Here we argue that wireless communications is a uniquely structured domain for formal AI reasoning, and propose a three-layer framework of verification, derivation, and discovery to rethink how wireless mathematical knowledge is established.

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