Investigation and Adaptation of Signal Propagation Models for a Mixed Outdoor-Indoor Scenario Using a Flying GSM Base Station

2016 ◽  
pp. 128-139
Author(s):  
Alina Rubina ◽  
Oleksandr Andryeyev ◽  
Mehdi Harounabadi ◽  
Ammar Al-Khani ◽  
Oleksandr Artemenko ◽  
...  
Keyword(s):  
Signal Propagation ◽  
Base Station ◽  
Propagation Models

scholarly journals The Study on Detection Method of Water Vapor on Boundary Layer Based on Multiagent System

2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Xu Dongdong ◽  
Zhou Jie ◽  
Xia Jingming ◽  
Lu Zhenyu ◽  
Huan Hai
Keyword(s):  
Boundary Layer ◽  
Water Vapor ◽  
Multiagent System ◽  
Detection Method ◽  
Weather Conditions ◽  
Signal Propagation ◽  
Refraction Index ◽  
Base Station ◽  
Propagation Path ◽  
Electromagnetic Signals

A method of detecting water vapor on boundary layer based on multiagent system is proposed in this paper. Multiagent system receives electromagnetic signals emitted by the telecommunication base station. Due to the analysis of the actual electromagnetic wave signal propagation path in the atmosphere, atmospheric refraction index and moisture inversion are discussed in this paper. And the feasibility of using electromagnetic detection method is also analyzed. A multiagent system is designed to receive the electromagnetic signals. The composition and function of the multiagent system are clearly described. The atmospheric refractivity is detected by the multiagent system in three weather conditions of sunny, foggy, and rainy days. The results demonstrate the feasibility of water vapor detection method of multiagent system boundary by comparing the result of experiment with traditional method.

scholarly journals Propagation models for high sites in urban areas

2006 ◽  
Vol 4 ◽  
pp. 345-349 ◽  
Author(s):  
A. Hecker ◽  
M. Neuland ◽  
T. Kuerner
Keyword(s):  
Urban Areas ◽  
Mobile Station ◽  
Base Station ◽  
Urban Environments ◽  
Angle Of Incidence ◽  
Propagation Models ◽  
Validity Range ◽  
A Site

Abstract. Analyses of results from commonly used propagation models applied to UMTS Ultra High Sites in urban environments are presented. Differences between predicted and measured values for a site in Nuernberg are calculated as a function of the distance between base station and mobile station and as a function of the angle of incidence. An assessment of the validity range of the different propagation models is done. Furthermore, an analysis of the accuracy of the classification of building data is presented.

Investigation of the Characteristics of Radio Signal Propagation in Indoor Environment

2009 ◽  
Vol 62-64 ◽  
pp. 166-171
Author(s):  
J.O. Emagbetere ◽  
F.O. Edeko
Keyword(s):  
Radio Signal ◽  
Local Area Networks ◽  
Path Loss ◽  
Access Point ◽  
Signal Propagation ◽  
Local Area ◽  
Base Station ◽  
Delay Spread ◽  
Significant Attenuation ◽  
Propagation Measurement

The success of wireless local area networks (WLANs) has led to an intense interest among wireless engineers in understanding and predicting radio propagation characteristics within buildings. This paper present radio signal propagation measurement and modeling at 2.4GHz, within a building in the Faculty of Engineering, University of Benin. A base station built around SENAO access point, and a PA24 flat panel directional antenna of 19dBi gain and 17.50 beam-widths was setup for the experimentation. Signals were monitored from the fixed BS using LINKSYS, and NET STUMBLER version 4.0 software run on a Laptop. In this report, the effect of multi-path and delay spread was not considered. The result of the investigation revealed a significant attenuation of the radio signal within the small distance. A path loss exponent of 7.8 to 8.9 on the ground floor, and 2.9 to 5.2 for the 2nd floor were obtained for the period of investigation.

scholarly journals CEnsLoc: Infrastructure-Less Indoor Localization Methodology Using GMM Clustering-Based Classification Ensembles

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Beenish Ayesha Akram ◽  
Ali Hammad Akbar ◽  
Ki-Hyung Kim
Keyword(s):  
Machine Learning ◽  
Indoor Localization ◽  
Principal Component ◽  
Nearest Neighbors ◽  
Signal Propagation ◽  
Location Based Services ◽  
Radio Propagation ◽  
Propagation Models ◽  
Related Information ◽  
Real Time Applications

Indoor localization has continued to garner interest over the last decade or so, due to the fact that its realization remains a challenge. Fingerprinting-based systems are exciting because these embody signal propagation-related information intrinsically as compared to radio propagation models. Wi-Fi (an RF technology) is best suited for indoor localization because it is so widely deployed that literally, no additional infrastructure is required. Since location-based services depend on the fingerprints acquired through the underlying technology, smart mechanisms such as machine learning are increasingly being incorporated to extract intelligible information. We propose CEnsLoc, a new easy to train-and-deploy Wi-Fi localization methodology established on GMM clustering and Random Forest Ensembles (RFEs). Principal component analysis was applied for dimension reduction of raw data. Conducted experimentation demonstrates that it provides 97% accuracy for room prediction. However, artificial neural networks, k-nearest neighbors, K∗, FURIA, and DeepLearning4J-based localization solutions provided mean 85%, 91%, 90%, 92%, and 73% accuracy on our collected real-world dataset, respectively. It delivers high room-level accuracy with negligible response time, making it viable and befitted for real-time applications.

NONLINEARITY IN CICADA SOUND SIGNALS

2013 ◽  
Vol 21 (01) ◽  
pp. 1350004 ◽  
Author(s):  
KOSSI EDOH ◽  
DERKE HUGHES ◽  
RICHARD KATZ
Keyword(s):  
Partial Differential Equations ◽  
Dynamical Systems ◽  
Acoustic Signal ◽  
Volterra Equation ◽  
Burgers Equation ◽  
Signal Propagation ◽  
Acoustic Signals ◽  
Propagation Models ◽  
Nonlinear Characteristics ◽  
Nonlinear Acoustic

The nonlinearity of acoustic signals produced by male cicadas and their propagation in the atmosphere using the theory of dynamical systems and partial differential equations are explored in this paper. Previous research using a Volterra equation has shown that the signal data from the vibrations of cicada tymbals and that from the recordings of the acoustic signals about 5 inches away from the cicada exhibit some nonlinear characteristics. The experimental results shown in this paper confirm the nonlinearity of the signals farther from the cicada. A number of nonlinear acoustic signal propagation models are discussed — among them the Burgers' equation which has been implemented and whose results are quite promising.

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