E. Hong

Bio: E. Hong is an academic researcher from Air Force Research Laboratory. The author has contributed to research in topics: Attenuation & Disdrometer. The author has an hindex of 3, co-authored 5 publications receiving 21 citations.

Estimating Rain Attenuation at 72 and 84 GHz From Raindrop Size Distribution Measurements in Albuquerque, NM, USA

Abstract: The raindrop size distribution (DSD) is essential information for understanding rain attenuation effects at millimeter wavelengths. The DSD was measured in Albuquerque, NM, USA, as a part of the W/V-band Terrestrial Link Experiment. An optical disdrometer from Thies Clima was used to measure both size and velocity of rain droplets. The measured DSD consistently showed a unique property of two log-linear distributions regionally separable by drop size under variable rain rates. The functional fit that best represents our measured data with rain rates under 40 mm/h is presented. Based on the DSD, rain specific attenuation is estimated at 72 and 84 GHz with Mie scattering theory. These estimated rain attenuations can be used and validated for rain attenuation analysis of the millimeter wave propagation experiments under similar climate conditions. This letter will guide millimeter wave communication system designers to estimate the rain attenuation based on their own DSD measurements.

Mitigation of Reflector Dish Wet Antenna Effect at 72 and 84 GHz

Abstract: Millimeter waves in W- and V -band are allocated for high-bandwidth satellite communications in order to achieve higher data transfer rates. However, atmospheric propagation characteristics are not well understood at these frequencies. This work examines the substantial and yet avoidable signal degrading effect, wetness of antenna, on reflector dish antennas at 72 and 84 GHz. Understanding this effect is vital to characterizing the path loss due to environmental conditions. Our measurements include the wet antenna effect on a bare reflector dish antenna, a reflector dish covered with an untreated radome, and lastly a reflector dish covered with a hydrophobic coating applied to the radome. Our research indicates that the wet antenna effect was optimally mitigated with the radome cover treated with a hydrophobic material. This research will guide millimeter-wave communication system designers to avoid the wet antenna effect, thereby increasing their potential link availability.

Modeling the Effects of Gaseous Absorption and Attenuation due to Clouds for a 72 GHz Terrestrial Link

Abstract: Validation and refinement of atmospheric propagation models in the W/V bands has become an increasingly important subject of communications research. Interest in RF links that employ the millimeter wavelength region of the spectrum continues to grow. The effects of molecular gas resonances and hydrosols become very pronounced due to the short wavelength in these bands. In this work, attenuation modeling results at 72 GHz are compared with experimental data from the ongoing W/V-band Terrestrial Link Experiment (WTLE) in Albuquerque, NM. Supplementary weather sensors are used in conjunction with the WTLE data to examine the validity of MPM (Millimeter Wave Propagation Model), ITU Attenuation, and the Salonen model for cloud effects.

Depolarization of a V-band (72 GHz) Circularly Polarized Beacon Signal Due to Tropospheric Weather Events

Abstract: We present depolarization effects of various hydrometeors at the V-band (72 GHz) in Albuquerque, New Mexico during the 2018–2019 time period. The correlation between rain rate and the degradation of the cross-polarization discrimination (XPD) is calculated. The average XPD will first be found using clear sky cases and then deviations from that value will be calculated using cases where precipitous hydrometeors were present. The preliminary results presented here will contribute to an increased understanding of depolarization effects at extremely high frequencies (EHF, 30–300 GHz).

Modeling the Effects of Gaseous Absorption and Cloud Attenuation for V-band using Deep Learning

Abstract: A deep neural network is proposed to study the attenuating effects of the Earth's atmosphere on the W/V-bands of the millimeter wavelength portion of the spectrum. Validation of atmospheric propagation models in the W/V-bands has become an increasingly important subject of communications research, but presents significant hurdles when testing these models due to the great variability in the atmospheric parameters that influence propagation attenuation. The effects of molecular gas resonances and hydrosols become very pronounced due to the short wavelength in these bands. This research employs a multilayered deep learning model to learn and predict the attenuation at V-band frequencies. The data is collected from the ongoing W/V-band Terrestrial Link Experiment (WTLE) in Albuquerque, NM. WTLE uses weather sensors and the received power data across the link to study the effects of atmosphere on V-band propagation.

Rain statistics investigation and rain attenuation modeling for millimeter wave short-range fixed links.

Abstract: Millimeter wave (mmWave) communication is a key technology for fifth generation (5G) and beyond communication networks. However, the communication quality of the radio link can be largely affected by rain attenuation, which should be carefully taken into consideration when calculating the link budget. In this paper, we present results of weather data collected with a PWS100 disdrometer and mmWave channel measurements at 25.84 GHz (K band) and 77.52 GHz (E band) using a custom-designed channel sounder. The rain statistics, including rain intensity, rain events, and rain drop size distribution (DSD) are investigated for one year. The rain attenuation is predicted using the DSD model with Mie scattering and from the model in ITU-R P.838-3. The distance factor in ITU-R P.530-17 is found to be inappropriate for a short-range link. The wet antenna effect is investigated and additional protection of the antenna radomes is demonstrated to reduce the wet antenna effect on the measured attenuation.

The Impact of Rain on Short ${E}$ -Band Radio Links for 5G Mobile Systems: Experimental Results and Prediction Models

Abstract: The results from 1 year of data collected during an electromagnetic wave propagation experiment at ${E}$ -band are presented. The research activity originates from the collaboration between Politecnico di Milano, Milan, Italy, and the Huawei European Microwave Centre in Milan, which installed short (325 m) terrestrial links operating at 73 and 83 GHz, connecting two buildings in the university main campus. The received power data are processed, using a novel approach, to identify rain events and to remove the wet antenna effect, with the aim of accurately quantifying the fade induced by precipitation, $A_{R}$ . Moreover, $A_{R}$ is estimated by taking advantage of the ancillary data collected by the laser-based disdrometer collocated with the link transceivers. The results definitely point out the higher prediction accuracy achieved by exploiting the information on the rain drop size. A full year of data are used as reference to test the accuracy of the statistical prediction model for terrestrial links currently recommended by the ITU-R, which reveals a large overestimation. Finally, alternative models providing a higher accuracy are proposed and their accuracy assessed.

Statistical Analysis of Rain at Millimeter Waves in Tropical Area

Abstract: The high frequencies of millimeter wave (mm-wave) bands have been recognized for the fifth generation (5G) and beyond wireless communication networks. However, the radio propagation channel at high frequencies can be largely influenced by rain attenuation, especially in tropical regions with high rainfall intensity. In this paper, we present the results of rainfall intensity and rain attenuation in tropical regions based on one-year measurement campaign. The measurements were conducted from September 2018 until September 2019 at 21.8 GHz (K-band) and 73.5 GHz (E-band) in Malaysia. The rainfall intensity was collected using three rain gauges installed along a 1.8 km link. The rain attenuation is computed from the difference between the measured minimum received signal level (RSL) during clear sky and rain conditions. The measured rain rate and rain attenuation distributions are then analysed and benchmarked with several previous measurements and well-known prediction models such as the ITU-R P. 530-17. The rainfall rate results showed that the best agreement between the measured rainfall rate in Malaysia and the ITU-R PN.837-1 prediction value for Zone P is up to 0.01% of time (99.99% of time agrees well and only disagrees for 0.01% of time). For the E-band, the maximum measured rain attenuation exceeding 0.03% of the year is around 40.1 and 20 dB for 1.8 and 0.3 km links, respectively, at the maximum rain rate of 108 mm/h. For the K-band, the maximum rain attenuation exceeding 0.01% of the year is around 31 dB for the 1.8 km link. Finally, the rain rates exceeding 108 and 180 mm/h at 73.5 and 21.8 GHz, respectively, along the 1.8 km path caused an outage on our measurement setup. The rain rate of 193 mm/h and above caused an outage for the 0.3 km E-band link. The experimental data as well as the presented data analysis can be utilized for efficient planning and deployments of mm-wave wireless communication systems in tropical regions.

Modification of Distance Factor in Rain Attenuation Prediction for Short-Range Millimeter-Wave Links

Abstract: Prediction accuracy of rain attenuation on short-range millimeter-wave (mm-wave) terrestrial links is of the utmost importance for signal strength prediction and link budget of 5G systems and beyond. This letter contributes to the prediction of rain attenuation over millimeter-wave frequencies for a short-range path (less than 1 km). Interestingly, rain-induced attenuation predicted by utilizing ITU-R P.530-17 largely overestimates the measured data at 26 and 38 GHz with 300 m path length in Malaysia. This is due to the inclusion of the distance factor, which ranges between 2.5 ( f = 38 GHz) and 2.54 (26 GHz). The behavior of the distance factor is investigated thoroughly, and it is found that the maximum values of the distance factor are inconsistent for the path lengths less than 1 km. Consequently, a modification for the distance factor r in ITU-R P530.17 has been proposed. The rain attenuation data measured are utilized to validate and improve the proposed modifications. In addition, available rain attenuation measurements at 25 GHz for 223 m path length in Japan and 75 GHz for 10 m path length in Korea are also utilized for validation. Subsequently, several available measurements from different locations are used to validate the accuracy of the proposed model and are found in good agreement.

Millimeter-Wave in the Face of 5G Communication Potential Applications

Abstract: Recently, the majority of the countries have announced deployment of the fifth-generation (5G) wireless communication in a variety of application areas. In the meanwhile, few academic institutions ...