The effect of building height variation on the multiple diffraction loss component of the walfisch-bertoni model

Crosby, Dave; Greaves, S.D.; Hopper, Andy

doi:10.1109/pimrc.2003.1260426

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…where h avg < h r is the average height of obstacles between the transmitter and the receiver. For suburban areas, this average height is typically in the range of 6 to 15 m [31]- [34], and for dense urban areas it typically lies in the range of 30 to 40 m [32], [33], [35].…”

Section: Multi-slope Path-loss Modelmentioning

confidence: 99%

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

Guimarães¹

2021

Anais Do XXXIX Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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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 localmean signal power measurements to a non-increasing, two-or three-slope piece-wise 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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Section: Multi-slope Path-loss Modelmentioning

confidence: 99%