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Related Experiment Video

Updated: Aug 30, 2025

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

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Published on: June 25, 2021

Communication Systems Performance at mm and THz as a Function of a Rain Rate Probability Density Function Model.

Judy Kupferman^1,2, Shlomi Arnon¹

¹Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva 8441405, Israel.

Sensors (Basel, Switzerland)

|August 26, 2022

Summary

This summary is machine-generated.

New 6G communication systems need precise rain rate analysis. Our novel method accurately predicts symbol error rates, improving system design for reliable connectivity.

Keywords:

atmospheric propagation attenuation communication communication system performance

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Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

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Published on: December 27, 2012

Area of Science:

Telecommunications Engineering
Atmospheric Science

Background:

Future 6G networks will utilize higher frequencies, increasing vulnerability to rain attenuation.
Current methods for evaluating rain's impact on symbol error rate (SER) rely on long-term averaging, leading to design inefficiencies.
Bandwidth scarcity and energy consumption in 6G necessitate more accurate performance prediction models.

Purpose of the Study:

To develop a more precise method for calculating communication system performance under rain conditions.
To highlight the inaccuracies of standard long-term averaging methods for SER prediction.
To propose a novel performance metric for 6G systems that accounts for rain rate probability.

Main Methods:

Utilized the probability density function (PDF) of rain rate for performance calculations.
Compared the proposed method's SER predictions against standard ITU methods for high rain rates (above 10 mm/h).
Analyzed the importance of sensing and measuring rain rate probability for adaptive system design.

Main Results:

The novel method reveals SER can be orders of magnitude higher than predicted by ITU standards for high rain rates.
Accurate rain rate probability is crucial for achieving required bit error rates (BER) for users.
The proposed model enables more efficient and adaptive 6G system designs.

Conclusions:

Standard rain attenuation models are insufficient for future 6G communication systems.
A novel method using rain rate PDF offers a more accurate performance metric for 6G.
Adaptive systems designed with precise rain rate sensing can improve 6G performance and reliability.