Segmented Regression via the Shape Language Modeling for Multi-Slope Path-Loss Modeling

Dayan A. Guimarães

DOI: 10.14209/sbrt.2021.1570730012

Evento: XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2021)

Keywords: Multi-slope path-loss Segmented regression Shape language modeling

Abstract

The multi-slope law for the area-mean received signal power decay has been considered a more adequate choice for modeling and analyzing the propagation path-loss in wireless networks. This paper presents a method for fitting local-mean signal power measurements to a non-increasing, two- or three-slope piecewise linear function of the transmitter-receiver distance. The optimal fit is achieved by means of the shape language modeling (SLM) tool when configured to the first order spline fitting option, with two and three segments. Some results are presented and discussed, and guidelines are given in what concerns the strategy for sampling the received power levels.

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