Pavel Valtr 0002

dblp:08/4029-2 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0001-9267-3605ORCID · verified

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Theory of computation · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1
YearPublicationVenuePosition
2025 The Bend Number of Cocomparability Graphs
abstract
We introduce a new complexity measure for cocomparability graphs of posets or in other words, intersection graphs of piecewise linear functions, the bend number. We prove that cocomparability graphs of bounded bend number are not too plentiful and give two hierarchies of classes of cocomparability graphs, depending on whether the piecewise linear functions are restricted to slopes of ±1 (diagonal case) or not (general case). These hierarchies give a gradation between permutation graphs and cocomparability graphs.
Todor Antic, Vít Jelínek, Martin Pergel, Felix Schröder, Peter Stumpf, Pavel Valtr 0002
GD6
2019 Quantifying Wet Antenna Attenuation in 38-GHz Commercial Microwave Links of Cellular Backhaul
abstract
The quantification of wet antenna attenuation (WAA) represents one of the major uncertainties in rainfall retrieval from commercial microwave links (CMLs). We propose identifying WAA distribution and upper limits based on rainfall climatology without the need for nearby rainfall observations. The quantified contributions of antenna wetting due to total loss are derived from 2 years of data collected from eight short (48-497 m) CMLs operating at frequencies of 37.3-39.2 GHz within the cellular backhaul. More specifically, the complementary cumulative distribution functions of measured attenuation are compared with theoretical ones calculated from rainfall data from local rain gauges. The results show that WAA reaches 1.5-2.0 dB and dominates over path attenuation during light rainfalls (R <; 2 mm/h). WAA can, however, reach 2.8-5.3 dB during heavy rainfalls and maximal WAA observed during extreme rainfalls (R ≈ 70-130 mm/h) is between 6-9 dB. The constant value of WAA used in some previous studies may, therefore, lead to a significant overestimation of peak rainfalls retrieved from CMLs.
Martin Fencl, Pavel Valtr 0002, Milan Kvicera, Vojtech Bares
IEEE Geosci. Remote. Sens. Lett.2