Propagation Modeling Through Foliage in a Coniferous Forest at 28 GHz

Zhang, Yaguang; Anderson, Christopher R.; Michelusi, Nicolò; Love, David J.; Baker, Kenneth R.; Krogmeier, James V.

doi:10.1109/lwc.2019.2899299

Cited by 26 publications

(12 citation statements)

References 10 publications

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“…Also, consideration in the CI model is made to cover the main usage of the communication channels to be in the far field between 1 m and the Fraunhofer distance, due to the locations where the base station (BS) antennas will be mounted. (CI) reference distance model has better accuracy, stability as compared with other models [17][18][19][20].…”

Section: The CI Pathloss Modelmentioning

confidence: 97%

Effect of Multi-Frequency Beam Alignment on Non-Line-of-Site Vehicle to Infrastructure Communication using CI Model (CI-NLOS-V2I)

Iskandarani¹

2020

IJACSA

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Investigation of the effect of beam alignment for milimeter wave (mmWave) transmission in the case of Vehicleto-Infrastructure communication (V2I) is carried out. The investigation covered varying transmission-reception (TX-RX) distances. The effect of carrier frequency variation using different antenna angles and gains is also analyzed. The results showed convergence of path loss (PL) values regardless of angle or antenna gain (dBi). The investigation also proved that shadow fading (SF), which is related to standard deviation (σ) and exponent number (n) is a main contributor to the observed high path loss values in the case of misalignment. It is also noted that the path loss values decreases as a function of frequency per same travelled distance, which is related to the exponent number. This work highlights the importance of antenna alignment and that V2I communication can be very much optimized if and when auto-antenna alignment is used, and the importance of multiantenna arrays.

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Section: The CI Pathloss Modelmentioning

confidence: 97%

Effect of Multi-Frequency Beam Alignment on Non-Line-of-Site Vehicle to Infrastructure Communication using CI Model (CI-NLOS-V2I)

Iskandarani¹

2020

IJACSA

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“…To determine the required tower height, the presence of foliage is then assessed via remote sensing techniques using globally available satellite data layers. From existing studies in the literature, we know that areas with foliage cover have a higher probability of requiring additional Fresnel clearance [106], [107] (for the remote rural area focus of this assessment).…”

Section: Modeling Processmentioning

confidence: 99%

Engineering-Economic Evaluation of Diffractive NLOS Backhaul (e3nb): A Techno-economic Model for 3D Wireless Backhaul Assessment

2022

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“…There are also studies that measure the size of foliage depth and form a model with location-based image processing. 22 In MED modeling, path loss changes as an exponential function of frequency and distance, and modeling is generated based on empirical data. These models, known in the literature as ITU-R, LITU-R, FITU-R, and COST235, [23][24][25][26][27][28] are created based on measurement results at different frequencies.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A new empirical propagation model depending on volumetric density in citrus orchards for wireless sensor network applications at sub‐6 GHz frequency region

Doğan¹

2021

Int J RF Microw Comput Aided Eng

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The accuracy of the path loss models directly affects the performance of the wireless sensor networks (WSN) and the efficiency of coverage planning. In this article, as a novelty, new empirical path loss models with foliage depth are proposed at two different 5G frequencies (3.5 and 4.2 GHz) based on volumetric density rate (v) of the trees in citrus orchards for WSN. In order to generate/verify empirical models, measurements are performed at different locations with similar environment characteristics. First, the measurements are compared with commonly used empirical models such as LITU-R, FITU-R, Cost 235, and log-normal, and they are found to be compatible with these models. Second, empirical path loss model is generated based on these measurements. Accordingly, for 3.5 and 4.2 GHz, the coefficient of determination (R 2 ) values are 0.966 and 0.965, respectively. Thirdly, based on the proposed model, it is determined that increasing the v value by 30% increased path loss by 20 dB. Finally, the performance of the proposed models is compared with four different empiric models for calculated v as 0.571. Additionally, the 3.08 and 3.46 root mean square error values of the proposed models are considerably better than those of other models.

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Propagation Modeling Through Foliage in a Coniferous Forest at 28 GHz

Cited by 26 publications

References 10 publications

Effect of Multi-Frequency Beam Alignment on Non-Line-of-Site Vehicle to Infrastructure Communication using CI Model (CI-NLOS-V2I)

Effect of Multi-Frequency Beam Alignment on Non-Line-of-Site Vehicle to Infrastructure Communication using CI Model (CI-NLOS-V2I)

Engineering-Economic Evaluation of Diffractive NLOS Backhaul (e3nb): A Techno-economic Model for 3D Wireless Backhaul Assessment

A new empirical propagation model depending on volumetric density in citrus orchards for wireless sensor network applications at sub‐6 GHz frequency region

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