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RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
April 16, 2024, 4:41 a.m. | Guoxuan Chi, Zheng Yang, Chenshu Wu, Jingao Xu, Yuchong Gao, Yunhao Liu, Tony Xiao Han
cs.LG updates on arXiv.org arxiv.org
Abstract: Along with AIGC shines in CV and NLP, its potential in the wireless domain has also emerged in recent years. Yet, existing RF-oriented generative solutions are ill-suited for generating high-quality, time-series RF data due to limited representation capabilities. In this work, inspired by the stellar achievements of the diffusion model in CV and NLP, we adapt it to the RF domain and propose RF-Diffusion. To accommodate the unique characteristics of RF signals, we first introduce …
abstract aigc arxiv capabilities cs.it cs.lg data diffusion domain eess.sp generative math.it nlp quality radio representation series signal solutions type via wireless work
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