The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms

Computer Science > Artificial Intelligence [Submitted on 11 Apr 2026] The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Lorenzo Maggi, Gian Marti, Alexander Keller Agentic AI is rapidly transforming the way research is conducted, from prototyping ideas to reproducing results found in the literature. In this paper, we explore the ability of agentic AI to autonomously design wireless communication algorithms. To that end, we implement a dedicated framework that leverages large language models (LLMs) to iteratively generate, evaluate, and refine candidate algorithms. We evaluate the framework on three tasks spanning the physical (PHY) and medium access control (MAC) layers: statistics-agnostic channel estimation, channel estimation with known covariance, and link adaptation. Our results show that, in a matter of hours, the framework produces algorithms that are competitive with and, in some cases, outperforming conventional baselines. Moreover, unlike neural network-based approaches, the generated algorithms are fully explainable and extensible. This work represents a first step toward the autonomous discovery of novel wireless communication algorithms, and we look forward to the progress our community makes in this direction. Subjects: Artificial Intelligence (cs.AI); Information Theory (cs.IT); Multiagent Systems (cs.MA) Cite as: arXiv:2604.19803 [cs.AI]   (or arXiv:2604.19803v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2604.19803 Focus to learn more Submission history From: Fayçal Ait Aoudia [view email] [v1] Sat, 11 Apr 2026 04:57:55 UTC (30 KB) Access Paper: HTML (experimental) view license Current browse context: cs.AI < prev   |   next > new | recent | 2026-04 Change to browse by: cs cs.IT cs.MA math math.IT References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)