Performance Evaluation of Channel Propagation Models and Developed Model for Mobile Communication
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Comparative Analysis of Path Loss Prediction Models for Urban Macrocellular Environments
COMPARATIVE ANALYSIS OF PATH LOSS PREDICTION MODELS FOR URBAN MACROCELLULAR ENVIRONMENTS A. Obota, O. Simeonb, J. Afolayanc Department of Electrical/Electronics & Computer Engineering, University of Uyo, Akwa Ibom State, Nigeria. aEmail: [email protected] bEmail: [email protected] cEmail: [email protected] Abstract A comparative analysis of path loss prediction models for urban macrocellular environments is presented in this paper. Specifically, three path loss prediction models namely free space, Hata and Egli were used to predict path losses. The calculated path loss values were compared with practical measured data obtained from a Visafone base station located in Uyo, Nigeria. The comparative analysis reveals that the mean square error (MSE) for free space, Hata and Egli were 16.24dB, 2.37dB and 8.40dB respectively. The results showed that Hata's model is the most accurate and reliable path loss prediction model for macrocellular urban propagation environments, since its MSE value of 2.37dB is smaller than the acceptable minimum MSE value of 6dB for good signal propagation. Keywords: macrocellular areas, path loss prediction models, Hata model, mean square error 1. Introduction nals generally propagate by means of any or a combination of these three basic propaga- Nowadays, wireless communication technol- tion mechanisms; reflection, diffraction, and ogy is influencing every area of modern life, scattering [2, 3]. One of the most impor- and has encouraged useful researches in nearly tant features of the propagation environment all fields of human endeavour. Cellular ser- is path (propagation) loss. Path loss is de- vices are today being used by millions of peo- fined as the difference (in dB) between the ple worldwide. -
On Adaptive Neuro-Fuzzy Model for Path Loss Prediction in the Vhf Band
ITU Journal: ICT Discoveries, Special Issue No. 1, 2 Feb. 2018 ON ADAPTIVE NEURO-FUZZY MODEL FOR PATH LOSS PREDICTION IN THE VHF BAND Nazmat T. Surajudeen-Bakinde1, Nasir Faruk2, Muhammed Salman1, Segun Popoola3, Abdulkarim Oloyede2, Lukman A. Olawoyin2 1Department of Electrical and Electronics Engineering, University of Ilorin, Nigeria 2Department of Telecommunication Science, University of Ilorin, Ilorin, Nigeria 3Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria Email: [email protected]; [email protected]; faruk.n, deenmat, oloyede.aa, olawoyin.la{@unilorin.edu.ng} Abstract – Path loss prediction models are essential in the planning of wireless systems, particularly in built-up environments. However, the efficacies of the empirical models depend on the local ambient characteristics of the propagation environments. This paper introduces artificial intelligence in path loss prediction in the VHF band by proposing an adaptive neuro-fuzzy (NF) model. The model uses five-layer optimized NF network based on back propagation gradient descent algorithm and least square errors estimate. Electromagnetic field strengths from the transmitter of the NTA Ilorin, which operates at a frequency of 203.25 MHz, were measured along four routes. The prediction results of the proposed model were compared to those obtained via the widely used empirical models. The performances of the models were evaluated using the Root Mean Square Error (RMSE), Spread Corrected RMSE (SC-RMSE), Mean Error (ME), and Standard Deviation Error (SDE), relative to the measured data. Across all the routes covered in this study, the proposed NF model produced the lowest RMSE and ME, while the SDE and the SC-RMSE were dependent on the terrain and clutter covers of the routes. -
Development of a Radiowave Propagation Model for Hilly Areas
International Journal of Electronics Communication and Computer Engineering Volume 4, Issue 2, ISSN (Online): 2249–071X, ISSN (Print): 2278–4209 Development of a Radiowave Propagation Model for Hilly Areas Famoriji J. Oluwole, Olasoji Y. Olajide Abstract – Achieving optimal performance is a paramount III. THE COST-231 HATA MODEL FOR URBAN concern in wireless networks. One of the strategies is to use wireless empirical models to predict wireless link quality ENVIRONMENT factors such as path loss and the received power in any given transmission domain with irregular terrain. Measurement The COST-231 Hata wireless propagation model was results of signal strength in UHF band obtained in Idanre devised as an extension to the Hata-Okumura model and Town of Ondo State Nigeria were validated against the Hata model as reported by Abhayawardhana et al.,[3]. theoretical estimations. Okumura-Hata model, COST231- The COST-231Hata model is designed to be used in the Hata model and Egli model applicable for path loss frequency band from 500 MHz to 2000 MHz. It also prediction in area with high hill were examined. These models predictions were compared with predictions from contains corrections for urban, suburban and rural (flat) measurements taken in Idanre to determine the path loss environments. [3] also noted that ”although this models’ prediction error for each model. Consequently, modified frequency range is outside that of the measurements, its COST231-Hata model was developed for path loss prediction simplicity and the availability of correction factors has in the hilly areas. The model developed has 6.02% error seen it widely used for path loss prediction at this which made it applicable for hilly areas (Idanre). -
Comparison of Empirical Propagation Path Loss Models for Fixed Wireless Access Systems
Comparison of Empirical Propagation Path Loss Models for Fixed Wireless Access Systems V.S. Abhayawardhana∗, I.J. Wassell†,D.Crosby‡, M.P. Sellars‡,M.G.Brown§ ∗ BT Mobility Research Unit, Rigel House, Adastral Park, Ipswich IP5 3RE, UK. [email protected] †LCE, Dept. of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK. [email protected] ‡Cambridge Broadband Ltd., Selwyn House, Cowley Rd., Cambridge CB4 OWZ, UK. {dcrosby,msellars}@cambridgebroadband.com §Cotares Ltd., 67, Narrow Lane, Histon, Cambridge CB4 9YP, UK. [email protected] Abstract— Empirical propagation models have found favour in Stanford University Interim (SUI) channel models developed both research and industrial communities owing to their speed of under the Institute of Electrical and Electronic Engineers execution and their limited reliance on detailed knowledge of the (IEEE) 802.16 working group [2]. Examples of non-time- terrain. Although the study of empirical propagation models for mobile channels has been exhaustive, their applicability for FWA dispersive empirical models are ITU-R [7], Hata [8] and the systems is yet to be properly validated. Among the contenders, COST-231 Hata model [3]. All these models predict mean path the ECC-33 model [1], the Stanford University Interim (SUI) loss as a function of various parameters, for example distance, models [2] and the COST-231 Hata model [3] show the most antenna heights etc. Although empirical propagation models promise. In this paper, a comprehensive set of propagation for mobile systems have been comprehensively validated, measurements taken at 3.5 GHz in Cambridge, UK is used to validate the applicability of the three models mentioned their appropriateness for FWA systems has not been fully previously for rural, suburban and urban environments. -
Comparative Analysis of Basic Models and Artificial Neural Network
Progress In Electromagnetics Research M, Vol. 61, 133–146, 2017 Comparative Analysis of Basic Models and Artificial Neural Network Based Model for Path Loss Prediction Julia O. Eichie1, *,OnyediD.Oyedum1, Moses O. Ajewole2, and Abiodun M. Aibinu3 Abstract—Propagation path loss models are useful for the prediction of received signal strength at a given distance from the transmitter; estimation of radio coverage areas of Base Transceiver Stations (BTS); frequency assignments; interference analysis; handover optimisation; and power level adjustments. Due to the differences in: environmental structures; local terrain profiles; and weather conditions, path loss prediction model for a given environment using any of the existing basic empirical models such as the Okumura-Hata’s model has been shown to differ from the optimal empirical model appropriate for such an environment. In this paper, propagation parameters, such as distance between transmitting and receiving antennas, transmitting power and terrain elevation, using sea level as reference point, were used as inputs to Artificial Neural Network (ANN) for the development of an ANN based path loss model. Data were acquired in a drive test through selected rural and suburban routes in Minna and environs as dataset required for training ANN model. Multilayer perceptron (MLP) network parameters were varied during the performance evaluation process, and the weight and bias values of the best performed MLP network were extracted for the development of the ANN based path loss models for two different routes, namely rural and suburban routes. The performance of the developed ANN based path loss model was compared with some of the existing techniques and modified techniques. -
Broadcasting Transmitters in Kampala Metropolitan; Uganda
Asian Journal of Research and Reviews in Physics 3(4): 65-78, 2020; Article no.AJR2P.63843 ISSN: 2582-5992 Modeling the Distribution of Radiofrequency Intensities from the Digital Terrestrial Television (DTTV) Broadcasting Transmitters in Kampala Metropolitan; Uganda Peter Opio1*, Akisophel Kisolo1, Tumps W. Ireeta1 and Willy Okullo1 1Department of Physics, College of Natural Science, Makerere University, P.O.Box 7062, Kampala, Uganda. Authors’ contributions This work was carried out in collaboration among all authors. Author PO designed the study, performed the statistical analysis, wrote the protocol, managed the literature searches and wrote the first draft of the manuscript. Authors AK, TWI and WO managed the analyses of the study. All authors read and approved the final manuscript Article Information DOI: 10.9734/AJR2P/2020/v3i430130 Editor(s): (1) Prof. Shi-Hai Dong, Instituto Politécnico Nacional, Mexico. Reviewers: (1) Sigit Haryadi, Institut Teknologi Bandung, Indonesia. (2) Wahyu Pamungkas, Institut Teknologi Telkom Purwokerto, Indonesia. Complete Peer review History: http://www.sdiarticle4.com/review-history/63843 Received 06 October 2020 Original Research Article Accepted 11 December 2020 Published 26 December 2020 ABSTRACT This study presents the modeling of the distribution of RF intensities from the Digital Terrestrial Television (DTTV) broadcasting transmitter in Kampala metropolitan. To achieve this, the performance evaluation of the different path loss propagation models and envisaging the one most suitable for Kampala metropolitan was done by comparing the path loss model values with the measured field Reference Signal Received Power (RSRP) values. The RSRP of the DTTV broadcasting transmitter were measured at operating frequencies of 526 MHz, 638 MHz, 730 MHz and 766 MHz using the Aaronia Spectran HF-6065 V4 spectrum analyzer, Aaronia AG HyperLOG 4025 Antenna at 1.5 m and 2.5 m heights, Aaronia GPS Logger, real time Aaronia MCS spectrum-analysis-software and a T430s Lenovo Laptop. -
Introduction to Rf Propagation
INTRODUCTION TO RF PROPAGATION John S. Seybold, Ph.D. ,WILEY- 'iNTERSCIENCE JOHN WILEY & SONS, INC. CONTENTS Preface XIII 1. Introduction 1.1 Frequency Designations 1 1.2 Modes of Propagation 3 1.2.1 Line-of-Sight Propagation and the Radio Horizon 3 1.2.2 Non-LOS Propagation 5 1.2.2.1 Indirect or Obstructed Propagation 6 1.2.2.2 Tropospheric Propagation 6 1.2.2.3 Ionospheric Propagation 6 1.2.3 Propagation Effects as a Function of Frequency 9 1.3 Why Model Propagation? 10 1.4 Model Selection and Application 11 1.4.1 Model Sources H 1.5 Summary 12 References 12 Exercises 13 2. Electromagnetics and RF Propagation 14 2.1 Introduction 14 2.2 The Electric Field 14 2.2.1 Permittivity 15 2.2.2 Conductivity 17 2.3 The Magnetic Field 18 2.4 Electromagnetic Waves 20 2.4.1 Electromagnetic Waves in a Perfect Dielectric 22 2.4.2 Electromagnetic Waves in a Lossy Dielectric or Conductor 22 2.4.3 Electromagnetic Waves in a Conductor 22 2.5 Wave Polarization 24 2.6 Propagation of Electromagnetic Waves at Material Boundaries 25 2.6.1 Dielectric to Dielectric Boundary 26 vii VÜi CONTENTS 2.6.2 Dielectric-to-Perfect Conductor Boundaries 31 2.6.3 Dielectric-to-Lossy Dielectric Boundary 31 2.7 Propagation Impairment 32 2.8 Ground Effects on Circular Polarization 33 2.9 Summary 35 References 36 Exercises 36 3. Antenna Fundamentals 38 3.1 Introduction 38 3.2 Antenna Parameters 38 3.2.1 Gain 39 3.2.2 Effective Area 39 3.2.3 Radiation Pattern 42 3.2.4 Polarization 44 3.2.5 Impedance and VSWR 44 3.3 Antenna Radiation Regions 45 3.4 Some Common Antennas 48 3.4.1 The Dipole 48 3.4.2 Beam Antennas 50 3.4.3 Hörn Antennas 52 3.4.4 Reflector Antennas 52 3.4.5 Phased Arrays 54 3.4.6 Other Antennas 54 3.5 Antenna Polarization 55 3.5.1 Cross-Polarization Discrimination 57 3.5.2 Polarization Loss Factor 58 3.6 Antenna Pointing loss 62 3.7 Summary "3 References "4 Exercises "5 4. -
An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments
University of New Hampshire University of New Hampshire Scholars' Repository Master's Theses and Capstones Student Scholarship Fall 2015 An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments Braden Scott Blanchette University of New Hampshire, Durham Follow this and additional works at: https://scholars.unh.edu/thesis Recommended Citation Blanchette, Braden Scott, "An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments" (2015). Master's Theses and Capstones. 1048. https://scholars.unh.edu/thesis/1048 This Thesis is brought to you for free and open access by the Student Scholarship at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Master's Theses and Capstones by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. AN ASSESSMENT OF PATH LOSS TOOLS AND PRACTICAL TESTING OF TELEVISION WHITE SPACE FREQUENCIES FOR RURAL BROADBAND DEPLOYMENTS BY BRADEN SCOTT BLANCHETTE Bachelor of Science in Electrical Engineering, The University of New Hampshire, 2013 THESIS Submitted to the University of New Hampshire in Partial Fulfillment of the Requirements for the Degree of Master of Science in Electrical Engineering September, 2015 ii This thesis has been examined and approved in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering by: Thesis Director, Dr. Nicholas Kirsch, Assistant Professor of Electrical and Computer Engineering Dr. Michael Carter, Associate Professor of Electrical and Computer Engineering Dr. Richard Messner, Associate Professor of Electrical and Computer Engineering On August 10, 2015 Original approval signatures are on file with the University of New Hampshire Graduate School. -
Radio Propagation Modeling on 433 Mhz
Radio propagation modeling on 433 MHz Ákos Milánkovich1, Károly Lendvai1, Sándor Imre1, Sándor Szabó1 1 Budapest University of Technology and Economics, Műegyetem rkp. 3-9. 1111 Budapest, Hungary {milankovich, lendvai, szabos, imre}@hit.bme.hu Abstract. In wireless network design and positioning it is essential to use radio propagation models for the applied frequency and environment. There are many propagation models available for both indoor and outdoor environments; however, they are not applicable for 433 MHz ISM frequency, which is perfectly suitable for smart metering and sensor networking applications. During our work, we gathered the most common propagation models available in scientific literature, broke them down to components and analyzed their behavior. Based on our research and measurements, a method was developed to create a propagation model for both indoor and outdoor environment optimized for 433 MHz frequency. The possible application areas of the proposed models: smart metering, sensor networks, positioning. Keywords: Radio propagation model, 433 MHz, smart metering, positioning 1 Introduction We are accustomed to use various wirelessly communicating devices, which possess different transmission properties according to their application areas. There are devices operating at high bandwidth in short range, but can not percolate walls. On the contrary, other devices can penetrate all kinds of materials for long distances, but operate on lower bandwidth. The transmission properties of these various technologies – beyond transmission power and antenna characteristics – are principally determined by the operating frequency range of the system. In addition, the operating frequency determines the amount of attenuation for the technology, caused by different media. The ability of calculating the signal strength in a given distance from the transmitter is severely important in case of network planning, because such a model helps us to determine where to place the devices, so that the system operates properly. -
Radio Coverage Prediction for a Wireless IP-Based Network in Central Europe
Radio Coverage Prediction for a Wireless IP-based Network in Central Europe Ralf Wilke DH3WR, Hubertus A. Munz and Dirk Heberling Institute of High Frequency Technology RWTH Aachen University Aachen, Germany [email protected] Abstract—In the beginning of 2009 the idea of building up a point-to-point radio links are displayed on a map. An excerpt wireless IP-based data network emerged from Austria. The of this map is shown in Fig. 1. classical backbone approach with distributed locations of routers, servers and user access equipment was pursued. Today in 2014, the network is covering Central Europe and still spreading. Every week new backbone interconnections and user access points are being installed. Based on an open source framework, a wiki-like website serves as an administrative platform, where IP assignments, meta-data and geographical locations of backbone nodes are stored. This paper presents the selection and implementation of RF propagation models to automatically predict the radio coverage area of user access points and display them on a map. As the RF path lengths differ from 300 m up to 30 km, several models where reviewed and merged into one software. The prediction was done based on a digital elevation model and land cover data. Keywords—RF prediction, wireless user access, coverage, HamNet I. INTRODUCTION In the 2009 the Austrian amateur radio community started to build up a wireless network. The frequencies used are in the 2.4 GHz and 5.7 GHz WiFi band. Due to the fact that the operators are licensed radio amateurs, the EIRP of those installations is not limited to the regulations which apply for Fig. -
Radiowave Propagation and Antennas for Personal Communications
Radiowave Propagation and Antennas for Personal Communications Third Edition For a complete listing of the Artech House Mobile Communications Library, turn to the back of this book. Radiowave Propagation and Antennas for Personal Communications Third Edition Kazimierz Siwiak Yasaman Bahreini a r techhouse. com Library of Congress Cataloging-in-Publication Data A catalog record of this book is available from the Library of Congress. British Library Cataloguing in Publication Data A catalogue record of this book is available at the British Library. ISBN 13: 978-1-59693-073-5 Cover design by Igor Valdman © 2007 ARTECH HOUSE, INC. 685 Canton Street Norwood, MA 02062 All rights reserved. Printed and bound in the United States of America. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including pho- tocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher. All terms mentioned in this book that are known to be trademarks or service marks have been appropriately capitalized. Artech House cannot attest to the accuracy of this information. Use of a term in this book should not be regarded as affecting the validity of any trademark or service mark. 10 9 8 7 6 5 4 3 2 1 To my family for their support and guidance, my mom for teaching me patience, and my dad for teaching me perseverance. —Yassi Moim Rodzicom Janowi i Bronislawie – Kai Contents Preface to the First Edition ix Preface to the Second Edition xiii Preface to the Third -
Analysis of Large-Scale Propagation Models for Mobile Communications in Urban Area
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 1, 2010 Analysis of Large-Scale Propagation Models for Mobile Communications in Urban Area M. A. Alim*, M. M. Rahman, M. M. Hossain, A. Al-Nahid Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh. *Corresponding author. Abstract— Channel properties influence the development of Propagation models that predict the mean signal strength wireless communication systems. Unlike wired channels that are for an arbitrary transmitter-receiver seperation distance are stationary and predictable, radio channels are extremely random useful in estimating the radio coverage area of a transmitter and and don’t offer easy analysis. A Radio Propagation Model are called large-scale propagation model. On the other hand, (RPM), also known as the Radio Wave Propagation Model propagation models that characterize the rapid fluctuations of (RWPM), is an empirical mathematical formulation for the the received signal strength over very short travel distances or characterization of radio wave propagation as a function of short time durations are called small scale or fading models [1]. frequency. In mobile radio systems, path loss models are necessary for proper planning, interference estimations, In this paper, the wideband propagation performance of frequency assignments and cell parameters which are the basic Okumura, Hata, and Lee models has been compared varying for network planning process as well as Location Based Services Mobile Station (MS) antenna height, propagation distance, and (LBS) techniques. Propagation models that predict the mean Base Station (BS) antenna height considering the system to signal strength for an arbitrary transmitter-receiver (T-R) operate at 900 MHz.