Corpus ID: 237571872

An empirical study on using CNNs for fast radio signal prediction

@inproceedings{Ozyegen2020AnES,
  title={An empirical study on using CNNs for fast radio signal prediction},
  author={Ozan Ozyegen and Sanaz Mohammadjafari and Karim El Mokhtari and Mucahit Cevik and Jonathan Ethier and Ayse Basar},
  year={2020}
}
Accurate radio frequency power prediction in a geographic region is a computationally expensive part of finding the optimal transmitter location using a ray tracing software. We empirically analyze the viability of deep learning models to speed up this process. Specifically, deep learning methods including CNNs and UNET are typically used for segmentation, and can also be employed in power prediction tasks. We consider a dataset that consists of radio frequency power values for five different… Expand

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