Optimizing Outdoor Propagation Model based on Measurements for Multiple RF Cell

Mousa, Allam; Dama, Y. A. S.; Najjar, Mahmoud; Alsayeh, Bashar

doi:10.5120/9686-4121

Cited by 17 publications

(7 citation statements)

References 8 publications

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“…This equation could be either linear (in the case of TOA as an example) or nonlinear ( in the case of RSS for example) so for the former case the problem is the exact Kalman filtering and for the latter case EKF could be used to solve. As an example of EKF, in the case of RSS, measurement models exploit different propagation path loss models along with shadowing effect [ 29,30,31,32]. One simple model could be written in the form :…”

Section: A Kalman Filteringmentioning

confidence: 99%

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

Balarastaghi¹,

Amini²,

Mirzavandi³

2015

IJITCS

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There are many Geo-Location techniques proposed in cellular networks. They are mainly classified based on the parameters used to extract location information. In this study it is tried to have a new look to these positioning methods and to classify them differently regardless of parameters type. We classified these techniques base on mathematical algorithms which is used to derive location information of users in the network. Such algorithms are divided into three main subclasses in here, estimation theory based (MUSIC, ESPIRIT), Metaheuristic (Genetic, PSO...) and filtering approaches (Kalman, Particle, Grid, MH ). The proofs and details of how to apply techniques are presented and the simulation results are given.

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Section: A Kalman Filteringmentioning

confidence: 99%

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

Balarastaghi¹,

Amini²,

Mirzavandi³

2015

IJITCS

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“…Case of Yaoundé, Cameroon", MingjingYang et al [6] in China have presented "A Linear Least Square Method of Propagation Model Tuning for 3G Radio Network Planning", Chen, Y.H. and Hsieh, K.L [7] Taiwan presented "has Dual Least -Square Approach of Tuning Optimal Propagation Model for existing 3G Radio Network", Allam Mousa, Yousef Dama et Al [8] in Palestine presented "Optimizing Outdoor Propagation Model based on Measurements for Multiple RF Cell". [9] There are many propagation models presented in scientific literature, but this modeling is based on K factor propagation model.…”

Section: Introductionmentioning

confidence: 99%

New Propagation Model Optimization Approach based on Particles Swarm Optimization Algorithm

Michel¹,

Tonyé²

2015

IJCA

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Propagation models are keys components of coverage planning. With the deployment of 4G network worldwide, operators need to plan the coverage of their network efficiently, in order to minimize cost and improve the quality of service.In this paper, the standard model K factors is taken into account to develop a method for tuning propagation models based on particle swarm optimization algorithm. The data are collected on the existing CDMA2000 1X-EVDO rev B network in the town of Yaoundé, capital of Cameroon. The root mean squared error (RMSE) between actual measurements and radio data obtained from the prediction model developed is used to test and validate the technique. The values of the RMSE obtained by the new model and those obtained by the standard model of OKUMURA HATA in urban area are also compared. Through the comparison of RMSE from optimized model and OKUMURA HATA, it can be concluded that the new model developed using particle swarm optimization performs better than the OKUMURA HATA model and is more accurate. The new model is also more representative of the local environment and also similar to the optimized model obtained when using linear regression method. This method can be applied anywhere to optimize existing propagation model.

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“…and Hsieh, K.L [6] TAIWAN presented « A Dual Least-Square Approach of Tuning Optimal Propagation Model for existing 3G Radio Network », Simi I.S andt ail [7] In Serbia presented « Minimax LS algorithm for automatic propagation model tuning », Allant Mousa, Yousef Dama and Ail [8] In Palestine presented «Optimizing Outdoor Propagation Model based on Measurements for Multiple RF Cell », Deussom Djomadji Eric Michel and Tonye Emmanuel [9] In cameroon have presented « Optimisation du modèle d'Okumura Hata par la régression linéaire. Application à la ville de Yaoundé au Cameroun », Famoriji and Olasoji [10] have presented «Development of a Radiowave Propagation Model for Hilly Areas», V.S.…”

Section: Introductionmentioning

confidence: 99%

Contribution to The Performance of Mobile Radio Systems by Optimizing The Okumura Hata Model by Linear Regression: Application to The City of Annaba in Algeria

Saidi¹,

Saidi²,

Regai³

2017

ijeei

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The study of propagation characteristics is a fundamental step in mobile radio engineering; which is intended to achieve maximum performance for a mobile radio system. To do this, the propagation models are essential tools for this study such as the evaluation of the signal strength received by a mobile terminal, the evaluation of coverage radii and deduce the number of cells needed to cover a given area, such as radio planning, which in turn is the step that aims to estimate the necessary equipment and configurations of the radio interface. In this work we adopt the standard K factor model and OKUMURA HATA model to demonstrate a propagation model adapted to the physical environment of the city of Annaba in Algeria using a linear regression algorithm based on the ordinary least squares method. Radio measurements were carried out on the CDMA network of operator Mobilis. The calculation of the square root of the mean square error between the actual data and the radio measurements and the prediction data derived from the model implemented allowing the validation of the results obtained. A comparative study between the value of the RMSE obtained by the new model and those obtained by the models K standard factors and the model of OKUMURA HATA allows us to conclude that the new model is better adapted to our local environment than that of OKUMURA HATA. The new model obtained can help increase the performance of mobile radio systems deployed in our territory.Keywords: Model K factor, Model of OKUMURA HATA Linear regression. IntroductionTo obtain a propagation model that accurately reflects propagation characteristics radio in a given environment. It is necessary to rely on network coverage, the capacity of the network as well as the quality of service of it which are the essential points of a network planning. In order to have access to all the services offered by a network, it is necessary to give particular importance to the dimensioning of the latter. The use of propagation models is very widespread for the planning and installation of networks or also for the extensions of already existing networks, especially in the new towns. Contributing to the improvement of the performance of mobile radio systems. To determine the characteristics of the radio propagation channel, the tests of the concrete propagation modes and the calibration of the existing models are essential to have a propagation models that accurately represent the radio propagation characteristics of the environment being studied. Several types of software allow the improvement of the performance of mobile radio systems through the planning and sizing of mobile networks including prediction models namely: ASSET of AIRCOM company in England, Atoll of the French company FORK ... etc.Some authors investigate the calibration of propagation models, Like Chhaya Dalila, and Garlic

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Optimizing Outdoor Propagation Model based on Measurements for Multiple RF Cell

Cited by 17 publications

References 8 publications

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

New Propagation Model Optimization Approach based on Particles Swarm Optimization Algorithm

Contribution to The Performance of Mobile Radio Systems by Optimizing The Okumura Hata Model by Linear Regression: Application to The City of Annaba in Algeria

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