English

Rethinking Wireless Communications through Formal Mathematical AI Reasoning

Signal Processing 2026-04-29 v1

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.

Keywords

Cite

@article{arxiv.2604.25155,
  title  = {Rethinking Wireless Communications through Formal Mathematical AI Reasoning},
  author = {Changyuan Zhao and Jiacheng Wang and Dusit Niyato and Zan Li and Abbas Jamalipour and Shiwen Mao and Xianbin Wang and Dong In Kim},
  journal= {arXiv preprint arXiv:2604.25155},
  year   = {2026}
}
R2 v1 2026-07-01T12:38:23.808Z