Millimetre‐wave path‐loss variability between two body‐mounted monopole antennas

2013 ◽  
Vol 7 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Yuriy Ivanovich Nechayev ◽  
Xianyue Wu ◽  
Costas C. Constantinou ◽  
Peter S. Hall
Keyword(s):  
Path Loss ◽  
Millimetre Wave ◽  
Monopole Antennas ◽  
Wave Path

scholarly journals Measurement and Prediction of Short-Range Path Loss between 27 and 40 GHz in University Campus Scenarios

2020 ◽  
Author(s):  
Glaucio Ramos ◽  
Carlos Vargas ◽  
Luiz Mello ◽  
Paulo Pereira ◽  
Sandro Gonçalves ◽  
...  
Keyword(s):  
Short Range ◽  
Prediction Models ◽  
Path Loss ◽  
Prediction Method ◽  
University Campus ◽  
Millimetre Wave ◽  
Empirical Prediction ◽  
Loss Prediction ◽  
Path Loss Prediction ◽  
Path Loss Measurements

Abstract In this paper, we present the results of short-range path loss measurements in the microwave and millimetre wave bands, at frequencies between 27 and 40 GHz, obtained in a campaign inside a university campus in Rio de Janeiro, Brazil. Existing empirical path loss prediction models, including the alpha-beta-gamma (ABG) model and the close-in free space reference distance with frequency dependent path loss exponent (CIF) model are tested against the measured data, and an improved prediction method that includes the path loss dependence on the height di erence between transmitter and receiver is proposed. A fuzzy technique is also applied to predict the path loss and the results are compared with those obtained with the empirical prediction models.

scholarly journals Analysis on the vehicle‐induced path loss for millimetre‐wave V2V communication

2021 ◽  
Vol 15 (5) ◽  
pp. 495-502
Author(s):  
Zhou Feng ◽  
Ji Rui ◽  
Sun Jinglu ◽  
Cheng Kai ◽  
Xu Wei ◽  
...  
Keyword(s):  
Path Loss ◽  
Millimetre Wave ◽  
V2v Communication ◽  
Induced Path

scholarly journals Machine‐learning‐based prediction methods for path loss and delay spread in air‐to‐ground millimetre‐wave channels

2019 ◽  
Vol 13 (8) ◽  
pp. 1113-1121 ◽  
Author(s):  
Guanshu Yang ◽  
Yan Zhang ◽  
Zunwen He ◽  
Jinxiao Wen ◽  
Zijie Ji ◽  
...  
Keyword(s):  
Machine Learning ◽  
Path Loss ◽  
Delay Spread ◽  
Prediction Methods ◽  
Millimetre Wave

scholarly journals Measurement and Prediction of Short-Range Path Loss between 27 and 40 GHz in University Campus Scenarios

2021 ◽  
Author(s):  
Glaucio Ramos ◽  
Carlos Vargas ◽  
Luiz Mello ◽  
Paulo Pereira ◽  
Robson Vieira ◽  
...  
Keyword(s):  
Short Range ◽  
Prediction Models ◽  
Path Loss ◽  
Prediction Method ◽  
Additional Parameter ◽  
University Campus ◽  
Millimetre Wave ◽  
Loss Prediction ◽  
Path Loss Prediction ◽  
The Difference

Abstract In this paper, we present the results of short-range path loss measurement in the microwave and millimetre wave bands, at frequencies between 27 and 40 GHz, obtained in a campaign inside a university campus in Rio de Janeiro, Brazil. Existing empirical path loss prediction models, including the alpha-beta-gamma (ABG) model and the close-in free space reference distance with frequency-dependent path loss exponent (CIF) model, are tested against the measured data, and an improved prediction method that includes the path loss dependence on the height difference between transmitter and receiver is proposed. The main contribution of this paper is the use of the Fuzzy technique to perform path loss predictions for short links in the millimetre wave range, from 27 to 40 GHz, providing lower errors when compared to the traditional ABG and CIF models. However, it should be noted that the Fuzzy technique uses a set of equations to perform the prediction and the attenuation coefficient is not explicit as in the classical models. Also, a non-negligible correlation between the difference in height between transmitter and receiver positions and the path loss in such short links (i.e., the path inclination) has been observed and requires further investigation. If confirmed, it could provide an additional parameter to improve the accuracy of the traditional ABG model.

Prediction of Indoor Millimeter Wave Propagation Characteristics Based on BP Neural Network

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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