US 11,888,544 B2
Selection of physics-specific model for determination of characteristics of radio frequency signal propagation
Preston F. Marshall, Woodbridge, VA (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Jun. 14, 2021, as Appl. No. 17/347,134.
Claims priority of application No. 21179289 (EP), filed on Jun. 14, 2021.
Prior Publication US 2022/0399946 A1, Dec. 15, 2022
Int. Cl. H04W 4/02 (2018.01); H04W 64/00 (2009.01); H04B 17/391 (2015.01); G06N 20/00 (2019.01); H04W 24/06 (2009.01); G06F 18/214 (2023.01)
CPC H04B 17/3912 (2015.01) [G06N 20/00 (2019.01); H04B 17/3913 (2015.01); H04W 24/06 (2013.01); G06F 18/214 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for determining environmental-specific propagation characteristics of a radio frequency (RF) signal, the method comprising:
receiving a plurality of first propagation characteristics of the RF signal;
determining a feature vector based on the plurality of first propagation characteristics;
inputting the feature vector to a machine-learning meta-model;
executing the machine-learning meta-model to select a particular physics-specific model from a plurality of physics-specific models, wherein each of the physics-specific models is for a different RF signal propagation environment;
inputting the feature vector to the particular physics-specific model; and
executing the particular physics-specific model to output an estimate of one or more second propagation characteristics of the RF signal based on the feature vector.