Title: RadioMaster: A Multi-Agent Framework for Autonomous Wireless Signal Synthesis

Abstract:

Converting high-level user objectives into tangible radio signals constitutes the most challenging and labor-intensive phase of wireless prototyping. This final step demands a deep understanding of physical layer intricacies and poses substantial implementation hurdles. While Large Language Models (LLMs) and multi-agent architectures have transformed traditional software development, prompting speculation about their potential to overcome these barriers, our research indicates that existing models are ill-equipped for this specific task. Current approaches suffer from significant performance drops, largely due to a lack of domain expertise and an inability to account for physical hardware limitations.

To address these deficiencies, we present RadioMaster, an end-to-end autonomous multi-agent system capable of translating user commands directly into physical wireless emissions. The framework relies on three interconnected components: RadioWiki, which provides specialized domain knowledge retrieval; RadioAgent, which collaboratively generates in-phase/quadrature (I/Q) samples while managing hardware configurations; and RadioEmulator, which performs closed-loop verification at the physical layer. Additionally, we introduce RadioBench, the inaugural benchmark dataset designed specifically for evaluating radio signal generation. Comprehensive real-world tests show that RadioMaster surpasses current state-of-the-art (SOTA) baselines in both the viability of system configurations and the fidelity of the generated signals.

Source: arXiv Generated at: 2026-06-02 00:00:00 UTC