Micrometer and Millimeter Wave P-to-P Links Under Dust Storm Effects in Arid Climates

Shamsan, Zaid A.; Alammar, Moath; Alharthy, Abdullah; Aldahmash, Abdulaziz; Al-Snaie, K. A.; Al-hetar, Abdulaziz M.

doi:10.48084/etasr.2972

Cited by 14 publications

(8 citation statements)

References 10 publications

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“… Microwave (MW) attenuation in Saudi Arabia. The effect of relative humidity (RH) is demonstrated by matching modeled to observed (Shamsan et al., 2019) MW attenuations assuming uncharged dry‐phase (RH = 0%) and humidified (RH = 70%) dust‐storm aerosols. …”

Section: Resultsmentioning

confidence: 95%

The Nature, Amplitude and Control of Microwave Attenuation in the Atmosphere

et al. 2021

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Microwave (MW) attenuation plays a critical role in constructing communication networks. It also can be a useful tool in the meteorological and optical communities for radar and microwave imaging applications. Because most atmospheric constituents (large hydrometeors being an exception) are very small compared to MW wavelengths, data analysis is typically performed using conventional Rayleigh theory; however, some anomalous observations have proven difficult to explain. We present the results of the first systematic numerical computations over a wide range of aerosol properties. We demonstrate that it is possible to perform mass computations of aerosol loading, which is an important climate parameter. We show that discrepancies found between theoretical predictions and observations can be attributed to the effect of the expected charge acquired by the dust particles through contact electrification occurring in dust storms. While frequencies below 10 GHz normally allow for long‐distance signal transmission, the charge‐induced resonances in particles can preferentially amplify the low‐frequency MW attenuation by a factor of 10 or more, depending on their surface electric potential. In addition, we find electrically charged particles dispersed in a local atmosphere as a potential tool for the controlled manipulation of MW attenuation.

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Section: Resultsmentioning

confidence: 95%

The Nature, Amplitude and Control of Microwave Attenuation in the Atmosphere

et al. 2021

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“…The contribution of this paper is the exploration of the spectrum sharing status between the HAPS and the FS in millimeter waves by assuming intersystem interference scenarios between the two systems within urban and suburban areas and with various HAPS altitudes and different terrestrial distances to connect the FS link. These interference scenarios have not been studied in the literature at millimeter waves [14,15], namely 38 and 47GHz. Consequently, some recommendations that ease spectrum sharing are proposed.…”

Section: Introductionmentioning

confidence: 99%

Spectrum Sharing of HAPS and Fixed Link in Millimeter Waves

Shamsan

2023

Eng. Technol. Appl. Sci. Res.

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A High Altitude Platform System (HAPS) is an emerging technology that can potentially bring connectivity to areas that are not partially or totally covered by cellular networks. However, allocating certain frequency bands for the HAPS alongside wireless Fixed Service (FS) imposes some restrictions on operating the HAPS systems to ensure no interference occurs between the two systems (HAPS and FS). This paper presents an analytical study of the spectrum sharing between the HAPS and the FS in millimeter waves, namely in 38- and 47-GHz bands. Some potential and significant interference scenarios have been applied in order to investigate the spectrum-sharing situations in urban and suburban areas. The Carrier to Interference plus Noise Ratio (CINR) has been adopted as the main criterion to assess the performance of the HAPS. It is found that the HAPS and FS systems can simultaneously share the 38- and 47-GHz bands with some restrictions to HAPS altitude, allowable CINR, and location of the HAPS user. These restrictions differ depending on the area coverage type.

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“…This work concluded that the moisture effect is important because it increases within the frequency, however the model ignores other atmospheric parameters accompanied by the sand and dust storm event (wind speed, wind direction, temperature, atmospheric pressure) [16]. Deployment of 5th generation (5G) telecommunication systems and the emergence of the Internet of Things (IoT) impose a challenge to study the effects of these storms on microwave and millimeter waves with particular applications in the areas of antenna theory, particle characteristics, and microwave systems performance [15]. In this study, a ML model is developed to predict the microwave signal attenuation due to atmospheric conditions recorded during dust and sand storms.…”

Section: Introductionmentioning

confidence: 99%

Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning

et al. 2021

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Signal attenuation due to dust and sand storms is one of the major problems in the utilization of microwave frequency bands for terrestrial and space communication especially in arid regions such as Northern Africa and Middle Eastern regions. In this paper, a machine learning (ML) model is developed to predict microwave signal attenuation due to atmospheric conditions recorded during dust and sand storms. The model utilizes recorded meteorological data, particularly optical visibility, temperature, relative humidity, atmospheric pressure, and wind speed conditions to predict the signal attenuation for a 22GHz operating frequency terrestrial link in Sudan. Compared to measured values, the predicted signal attenuation values show a relatively optimistic relation between meteorological data and microwave signal attenuation when utilizing all the meteorological features.

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Micrometer and Millimeter Wave P-to-P Links Under Dust Storm Effects in Arid Climates

Cited by 14 publications

References 10 publications

The Nature, Amplitude and Control of Microwave Attenuation in the Atmosphere

The Nature, Amplitude and Control of Microwave Attenuation in the Atmosphere

Spectrum Sharing of HAPS and Fixed Link in Millimeter Waves

Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning

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