In propagation analysis it is assumed that existing shadowing losses are due to obstacles through the propagation path between two transceivers. Although classically modelled as a log-normal random variable, special attention is being recently put into models where shadowing is considered as a consequence of an Underlying Spatial Loss Field (USLF) accounting for attenuation, under Radio Channel Tomography (RCT) framework. In this paper we address the task of making shadowing predictions for transceiver locations, without the need of measurements for those locations. A spatial loss field estimate is produced from measurements for a given set of transceiver locations, and used as an input to predict the shadowing at another set of transceiver locations. Moreover, new weighting functions are proposed and developed from channel parameter estimates of the propagation paths.
Villegas Gutierrez, J. D., & Oestges, C. (2022). Spatial Loss Field for Outdoor Micro-Cells. IEEE Transactions on Wireless Communications, 21(8), 6345-6356. https://doi.org/10.1109/twc.2022.3148409 (Original work published 2022)