1.9‐Ghz‐band radio propagation characteristics in an open urban environment and tree loss prediction using a loss layer model

2001 ◽  
Vol 84 (8) ◽  
pp. 49-61 ◽  
Author(s):  
Tokio Taga ◽  
Shinichi Ichitsubo ◽  
Yasutaka Ogawa ◽  
Kiyohiko Itoh
Keyword(s):  
Urban Environment ◽  
Radio Propagation ◽  
Propagation Characteristics ◽  
Layer Model ◽  
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 Application of Computational Intelligence Algorithms in Radio Propagation: A Systematic Review and Metadata Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Quadri Ramon Adebowale ◽  
Nasir Faruk ◽  
Kayode S. Adewole ◽  
Abubakar Abdulkarim ◽  
Lukman A. Olawoyin ◽  
...  
Keyword(s):  
Computational Intelligence ◽  
Path Loss ◽  
Channel Modeling ◽  
Radio Propagation ◽  
Future Research ◽  
Computational Techniques ◽  
Research Issues ◽  
Main Research ◽  
Loss Prediction ◽  
Path Loss Prediction

The importance of wireless path loss prediction and interference minimization studies in various environments cannot be over-emphasized. In fact, numerous researchers have done massive work on scrutinizing the effectiveness of existing path loss models for channel modeling. The difficulties experienced by the researchers determining or having the detailed information about the propagating environment prompted for the use of computational intelligence (CI) methods in the prediction of path loss. This paper presents a comprehensive and systematic literature review on the application of nature-inspired computational approaches in radio propagation analysis. In particular, we cover artificial neural networks (ANNs), fuzzy inference systems (FISs), swarm intelligence (SI), and other computational techniques. The main research trends and a general overview of the different research areas, open research issues, and future research directions are also presented in this paper. This review paper will serve as reference material for researchers in the field of channel modeling or radio propagation and in particular for research in path loss prediction.

A model for radio propagation loss prediction in buildings using wide-angle parabolic equations

2009 ◽  
Author(s):  
Fatima Nazare Barauna Magno ◽  
Joao Furtado de Souza ◽  
Klaus Cozzolino ◽  
Jesse Carvalho Costa ◽  
Gervasio Protasio dos Santos Cavalcante
Keyword(s):  
Parabolic Equations ◽  
Propagation Loss ◽  
Radio Propagation ◽  
Wide Angle ◽  
Loss Prediction
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