Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Estimating path loss for a transmitter-receiver location is key to many use-cases including network planning and handover. Machine learning has become a popular tool to predict wireless channel properties based on map data. In this work, we present a transformer-based neural network architecture that enables predicting link-level properties from ma...
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Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
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TN_cdi_proquest_journals_2875641542
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2875641542
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2331-8422
