Evidence map›Paper›PMID 36904734›Full record

ArticleSensors (Basel, Switzerland)2023

Millimeter Wave Attenuation Due to Wind and Heavy Rain in a Tropical Region.

Ukrit Mankong, Pakawat Chamsuk, Sitthichok Nakprasert, Sangdaun Potha, Zu-Kai Weng, Pham Tien Dat, Atsushi Kanno, Tetsuya Kawanishi

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Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ukrit MankongDepartment of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-1557-714X
Pakawat ChamsukDepartment of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand.
Sitthichok NakprasertDepartment of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand.
Sangdaun PothaDepartment of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand.
Zu-Kai WengNational Institute of Information and Communications Technology, Koganei 184-8795, Japan.ORCID 0000-0003-3111-3238
Pham Tien DatNational Institute of Information and Communications Technology, Koganei 184-8795, Japan.
Atsushi KannoNational Institute of Information and Communications Technology, Koganei 184-8795, Japan.ORCID 0000-0003-3384-8991
Tetsuya KawanishiNational Institute of Information and Communications Technology, Koganei 184-8795, Japan.ORCID 0000-0001-9724-8878

Funding

Ministry of Internal Affairs and Communications of Japan JPJ000254National Higher Education Science Research and Innovation Policy Council B05F640218National Institute of Information and Communications Technology No. 00302, No. 00401, No. 04301, No. 04901 and No. 06001
6 · The paper itself

Abstract

Millimeter wave fixed wireless systems in future backhaul and access network applications can be affected by weather conditions. The losses caused by rain attenuation and antenna misalignment due to wind-induced vibrations have greater impacts on the link budget reduction at E-band frequencies and higher. The current International Telecommunications Union Radiocommunication Sector (ITU-R) recommendation has been widely used to estimate rain attenuation, and the recent Asia Pacific Telecommunity (APT) report provides the model to estimate the wind-induced attenuation. This article provides the first experimental study of the combined rain and wind effects in a tropical location using both models at a frequency in the E band (74.625 GHz) and a short distance of 150 m. In addition to using wind speeds for attenuation estimation, the setup also provides direct antenna inclination angle measurements using the accelerometer data. This solves the limitation of relying on the wind speed since the wind-induced loss is dependent on the inclination direction. The results show that the current ITU-R model can be used to estimate the attenuation of a short fixed wireless link under heavy rain, and the addition of wind attenuation via the APT model can estimate the worst-case link budget during high wind speeds.

Indexed as

attenuationfixed wireless linklink budgetmillimeter wavetropical region

Identifiers

PMID36904734
PMCPMC10007627

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.