RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation
Jiazhen Lei Yuxin Sha Tianze Cao Sihan Wang Bingbing Wang Zeming Yang Fengyuan Zhu Xiaohua Tian
作者信息
Abstract
Translating user intent into physical radio signals is the last critical step in wireless prototyping. It chains protocol planning, baseband synthesis, and hardware configuration. Large language models and multi-agent systems have reshaped software engineering, raising the question of whether they can solve this problem. Yet current models fail at this task, even when augmented with domain tools. Because the stages run sequentially, an error at any stage propagates downstream, so the end-to-end success rate collapses toward zero even when each stage looks locally competent. We introduce RadioMaster, a fully autonomous multi-agent framework that drives user input to verified emissions transmitted over the air. It rests on three synergistic pillars. RadioWiki grounds generation in domain knowledge to suppress hallucination. RadioAgent decomposes the fragile pipeline into independently executable and locally recoverable stages. RadioEmulator gates deployment behind closed-loop physical-layer verification. We further build RadioBench, the first benchmark for autonomous radio signal generation. Extensive real-world evaluations show that RadioMaster substantially outperforms state-of-the-art baselines in configuration viability and signal fidelity, while reducing configuration time by up to 28x.引用本文复制引用
Jiazhen Lei,Yuxin Sha,Tianze Cao,Sihan Wang,Bingbing Wang,Zeming Yang,Fengyuan Zhu,Xiaohua Tian.RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation[EB/OL].(2026-07-28)[2026-07-31].https://arxiv.org/abs/2606.01862.学科分类
无线电设备、电信设备/无线通信
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