A simplified path loss model for investigating diffraction and specular reflection impact on millimetre wave propagation

2015 ◽

Vol 752-753 ◽

pp. 1121-1124

Author(s):

Zeng You Sun ◽

Huan Huan Li

Keyword(s):

Neural Network ◽

Wave Propagation ◽

Bp Neural Network ◽

Model Simulation ◽

Path Loss ◽

Prediction Method ◽

Propagation Distance ◽

Propagation Characteristics ◽

Millimetre Wave ◽

Millimetre Wave Propagation

Due to the complexity of the millimetre-wave indoor propagation environment, using the conventional methods to analyze propagation characteristics of radio wave leads to great error, and the computational complexity is high. In view of the above problems, the prediction method for propagation characteristics of the indoor millimetre wave based on BP neural network is proposed; using its function approximation to describe the millimetre wave propagation parameter, finding out the mathematical relationship between its corresponding external factors and the signal attenuation, the mathematical logic relationship is constructed through establishing the prediction model. Simulation results show that using this method can quickly and intuitively obtain the relationship between the propagation distance and field intensity or path loss, respectively, with advantages of taking short time and high computational efficiency.

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Path loss model for radio wave propagation at VHF/UHF Bands using electric field strength measurement over Ilorin Middle-belt, Nigeria

2012 2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA) ◽

10.1109/ictea.2012.6462900 ◽

2012 ◽

Cited By ~ 2

Author(s):

O.O Obiyemi ◽

T.S Ibiyemi ◽

A.O Gbenga-ilori ◽

J.S Ojo

Keyword(s):

Wave Propagation ◽

Field Strength ◽

Electric Field ◽

Electric Field Strength ◽

Radio Wave ◽

Path Loss ◽

Radio Wave Propagation ◽

Strength Measurement ◽

Loss Model ◽

Path Loss Model

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A New Method for Radio Wave Propagation Prediction Based on BP-Neural Network and Path Loss Model

2020 12th International Conference on Knowledge and Smart Technology (KST) ◽

10.1109/kst48564.2020.9059383 ◽

2020 ◽

Author(s):

Yirong Wang ◽

Chen lan Zi Huang ◽

Man Yu Liang ◽

Jing Hu ◽

Tiecheng Song

Keyword(s):

Neural Network ◽

Wave Propagation ◽

Radio Wave ◽

Bp Neural Network ◽

Path Loss ◽

Radio Wave Propagation ◽

New Method ◽

Loss Model ◽

Path Loss Model ◽

Propagation Prediction

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Path Loss Model in Crowded Outdoor Environments Considering Multiple Human Body Shadowing of Multipath at 4.7GHz and 26.4GHz

IEICE Transactions on Communications ◽

10.1587/transcom.2018ebp3282 ◽

2019 ◽

Vol E102.B (8) ◽

pp. 1676-1688 ◽

Cited By ~ 1

Author(s):

Mitsuki NAKAMURA ◽

Motoharu SASAKI ◽

Wataru YAMADA ◽

Naoki KITA ◽

Takeshi ONIZAWA ◽

...

Keyword(s):

Human Body ◽

Path Loss ◽

Loss Model ◽

Path Loss Model ◽

Outdoor Environments

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A new path loss model based on the volumetric occupancy rate for the pine forests at 5G frequency band

International Journal of Microwave and Wireless Technologies ◽

10.1017/s175907872000152x ◽

2020 ◽

pp. 1-10

Author(s):

Abdullah Genc

Keyword(s):

Path Loss ◽

Forest Area ◽

Occupancy Rate ◽

Loss Model ◽

Path Loss Model ◽

Model Based ◽

Proposed Model ◽

Pine Trees ◽

Foliage Density ◽

Reference Measurements

Abstract In this paper, a new empirical path loss model based on frequency, distance, and volumetric occupancy rate is generated at the 3.5 and 4.2 GHz in the scope of 5G frequency bands. This study aims to determine the effect of the volumetric occupancy rate on path loss depending on the foliage density of the trees in the pine forest area. Using 4.2 GHz and the effect of the volumetric occupancy rate contributes to the literature in terms of novelty. Both the reference measurements to generate a model and verification measurements to verify the proposed models are conducted in three different regions of the forest area with double ridged horn antennas. These regions of the artificial forest area consist of regularly sorted and identical pine trees. Root mean square error (RMSE) and R-squared values are calculated to evaluate the performance of the proposed model. For 3.5 and 4.2 GHz, while the RMSEs are 3.983 and 3.883, the values of R-squared are 0.967 and 0.963, respectively. Additionally, the results are compared with four path loss models which are commonly used in the forest area. The proposed one has the best performance among the other models with values 3.98 and 3.88 dB for 3.5 and 4.2 GHz.

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