Abstract
Generally, the present disclosure is directed to predicting wireless propagation in an area and/or at a wavelength. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict propagation data (e.g. radio signal attenuation and/or Bit Error Rate (BER)) based on connection data and terrain data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chen, Yi-Fan; Roumpos, Georgios; Yeo, Boon-Lock; and Chen, Peter Yung Sen, "Machine-Learned Wireless Propagation Model", Technical Disclosure Commons, (December 12, 2017)
https://www.tdcommons.org/dpubs_series/953
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