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Jonatan Ostrometzky

5 accepted papers

2023

Model-based vs. Data-driven Approaches for Predicting Rain-induced Attenuation in Commercial Microwave Links: A Comparative Empirical Study

ICASSP 2023accepted

Real-time analysis and forecasting of rain-induced attenuation patterns in terrestrial microwave links has gained increasing attention in the field of communication and meteorology, enabling preparation for upcoming events. This paper presents an empirical study of model-based and data-driven techni…

Cited by 8SourceScholar
2020

Statistical Signal Processing Approach for Rain Estimation Based on Measurements from Network Management Systems

ICASSP 2020accepted

In this paper we apply statistical signal processing methodologies on a real-world application of using Commercial Microwave Links (CMLs) as opportunistic sensors for rain monitoring. We formulate an appropriate parameter estimation problem, taking advantage on the empirically evaluated statistics o…

Cited by 0SourceScholar
2017

Induced bias in attenuation measurements taken from commercial microwave links

ICASSP 2017accepted

Cellular backhaul networks usually consist of commercial microwave links, known to be sensitive to weather conditions. The management network systems usually provide records of measurements of the transmitted and the received signals levels from the different microwave links for monitoring and analy…

Cited by 0SourceScholar
2016

Calibration of the attenuation-rain rate power-law parameters using measurements from commercial microwave networks

ICASSP 2016accepted

A common way to describe the relation between rain-rate R [mm/h] and attenuation A [dB] in radio signal is the Power-Law A = aRb, where a and b are the Power-Law parameters, which depend on the radio signal (frequency, polarization) and on some properties of the specific environmental conditions. Th…

Cited by 0SourceScholar