Using Learning Methods for V2V Path Loss Prediction

2019 ◽  
Author(s):  
Panthangi M Ramya ◽  
Mate Boban ◽  
Chan Zhou ◽  
Slawomir Stanczak
Keyword(s):  
Path Loss ◽  
Learning Methods ◽  
Loss Prediction ◽  
Path Loss Prediction

scholarly journals Path Loss Prediction Based on Machine Learning Methods for Aircraft Cabin Environments

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 159251-159261 ◽  
Author(s):  
Jinxiao Wen ◽  
Yan Zhang ◽  
Guanshu Yang ◽  
Zunwen He ◽  
Wancheng Zhang
Keyword(s):  
Machine Learning ◽  
Path Loss ◽  
Learning Methods ◽  
Aircraft Cabin ◽  
Machine Learning Methods ◽  
Loss Prediction ◽  
Path Loss Prediction

scholarly journals Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 30441-30451
Author(s):  
Sotirios P. Sotiroudis ◽  
Panagiotis Sarigiannidis ◽  
Sotirios K. Goudos ◽  
Katherine Siakavara
Keyword(s):  
Deep Learning ◽  
Path Loss ◽  
Learning Approach ◽  
Loss Prediction ◽  
Path Loss Prediction

Calibration of Empirical Models for Path Loss Prediction in Urban Environment

2020 ◽  
pp. 301-310
Author(s):  
Robert O. Abolade ◽  
Dare J. Akintade ◽  
Segun I. Popoola ◽  
Folasade A. Semire ◽  
Aderemi A. Atayero ◽  
...  
Keyword(s):  
Urban Environment ◽  
Path Loss ◽  
Empirical Models ◽  
Loss Prediction ◽  
Path Loss Prediction

scholarly journals Path loss prediction model development in a mountainous forest environment

2021 ◽  
pp. 1-1
Author(s):  
Bilguunmaa Myagmardulam ◽  
Tadachika Nakayama ◽  
Kazuyoshi Takahashi ◽  
Ryu Miura ◽  
Fumie Ono ◽  
...  
Keyword(s):  
Prediction Model ◽  
Model Development ◽  
Path Loss ◽  
Forest Environment ◽  
Loss Prediction ◽  
Path Loss Prediction

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.

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