Human Blockage Measurements Using Multiband CW Sounder

In the World Radiocommunications Conference in 2019 (WRC-19), several frequency bands including the millimeter wave (mm-Wave) bands below 100 GHz were identified for 5G technology which led to several frequency bands being approved for 5G radio systems. In WRC-23 the frequency bands were extend above 100 GHz: 140–170 GHz and 235–300 GHz for 6G technology. While these bands provide more bandwidth that enables high data rates with low latency, they tend to suffer from blockage. To estimate the path loss due to human blockage on 5G and future 6G frequency bands, measurements were conducted at 25.8 GHz, 77.5 GHz and 155 GHz using the multiband Continuous Waveform (CW) channel sounder developed at Durham University. The measurements were used to estimate the cumulative distribution functions while are also compared with various blockage models.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999192
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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Human Blockage Measurements Using Multiband CW Sounder

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Non-Invasive Vital Sign Monitoring
article

Human Blockage Measurements Using Multiband CW Sounder

Amar Al‐jzari, Sana Salous, Jiahao Hu, Silvi Kodra, Yubei He
article en

Abstract

In the World Radiocommunications Conference in 2019 (WRC-19), several frequency bands including the millimeter wave (mm-Wave) bands below 100 GHz were identified for 5G technology which led to several frequency bands being approved for 5G radio systems. In WRC-23 the frequency bands were extend above 100 GHz: 140–170 GHz and 235–300 GHz for 6G technology. While these bands provide more bandwidth that enables high data rates with low latency, they tend to suffer from blockage. To estimate the path loss due to human blockage on 5G and future 6G frequency bands, measurements were conducted at 25.8 GHz, 77.5 GHz and 155 GHz using the multiband Continuous Waveform (CW) channel sounder developed at Durham University. The measurements were used to estimate the cumulative distribution functions while are also compared with various blockage models.

Durham University (GB), University of Bologna (IT)
Openalex Percentile: Top 90%
Non-Invasive Vital Sign Monitoring
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