Rethinking wireless communications through formal mathematical AI reasoning
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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Authors: Changyuan Zhao, Jiacheng Wang, Dusit Niyato, Zan Li, Abbas Jamalipour, Xianbin Wang, Dong In Kim
Institutions: Western University, The University of Sydney, Tohoku University, Sungkyunkwan University, Nanyang Technological University, Xidian University