Multipath propagation model of spatio-temporal dispersion observed at base station in urban areas

Ichitsubo, S.; Tsunekawa, K.; Ebine, Yoshio

doi:10.1109/jsac.2002.801222

Cited by 16 publications

(7 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Part I of this paper [1] is focused on a comparative analysis of empirical and geometrical (theoretical) models of the probability density function (PDF) of azimuth AOA (AAOA) for different environmental conditions. Empirical models are based on standard distributions such as Gaussian [2][3][4][5], Laplacian [2,3,[6][7][8][9][10][11][12], logistic [13][14][15][16], and von Mises [3,[17][18][19][20][21], which are being modified due to limited support of PDF of AAOA. The theoretical models are defined by the geometrical structures that describe the spatial position of scattering elements.…”

Section: Introductionmentioning

confidence: 99%

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Ziółkowski

Kelner

2016

Wireless Pers Commun

View full text Add to dashboard Cite

This paper focuses on modeling of the statistical reception angle properties that are the result of the environmental influence on transmitted signals. Numerous measurements have shown that the statistical properties of angle of arrival (AOA) significantly depend on the type of propagation environment. In practice, this means that in the analytical and simulation studies, the use of statistical models of AOA required their adaptation to propagation conditions in research scenario. Despite the large number of papers that are devoted to the AOA modeling, the method of fitting models to the environment is not presented in any of the publications. This paper fills this gap. For the assessment of the propagation properties and environment type classification, the basis is the rms delay spread (DS). Therefore, the presented method of the model adaptation to the environment type consists of determining the relationship between the model parameter and DS of environment. Here, the probability density function (PDF) of models such as the modified Gaussian, modified Laplacian, modified logistic, and von Mises distribution are considered as the statistical models of azimuth AOA. For seven different propagation environments, the measurement results are used as a reference data. A comparative analysis shows that the modified Laplacian PDF provides the smallest error fit to measurement data. However, in theoretical analysis and simulation studies, other empirical models can be used due to relatively low approximation errors. The presented results are the basis for the adaptation error assessment of the empirical model for any of the research scenario.

show abstract

Section: Introductionmentioning

confidence: 99%

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Ziółkowski

Kelner

2016

Wireless Pers Commun

View full text Add to dashboard Cite

show abstract

“…In the open literature, the statistical AAOA analysis shows that the empirical data approximation is based on PDF such as the Laplacian [15,21,22,[24][25][26][27][28][29], Gaussian [22,24,30,31], and von Mises [22,[32][33][34][35][36]. In this paper, the logistic distribution [37][38][39][40] …”

Section: Empirical Models Of Aaoamentioning

confidence: 97%

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

Ziółkowski

Kelner

2016

Wireless Pers Commun

View full text Add to dashboard Cite

Statistical properties of the reception angle have a significant impact on the choice of the antenna system patterns and decide on the received signal-processing methods. For angle of arrival in azimuth plane, comparative analysis of the empirical models and the approximation error evaluation are the purpose of this paper. Here, the presented analysis is focused on models such as the von Mises, modified Gaussian, modified Laplacian, and modified logistic. For each model, the approximation accuracy is determined with respect to measurement data for seven different propagation scenarios. The measures such as the least-squares error, difference of standard deviations, Kolmogorov-Smirnov statistic, and Cramer-von Mises statistic are used for evaluation of the approximation errors. Comparative analysis for four empirical models, differentiation of propagation environments, multi-criterial evaluation of approximation errors in significant degree fill a gap in the previous analysis presented in the literature. The obtained results show that the empirical models provide a better fit to the measurement data than the geometrical models, and the smallest errors of approximation are for the modified Laplacian and logistic distributions.

show abstract

“…A partir de (7) são definidos dois parâmetros que podem ser usados para validação de um modelo de canal através da comparação com medidas reais: o espectro de potência temporal (PDS) definido em (8) e o espectro angular de potência (PAS) dado em (9).…”

Section: Canal De Transmissãounclassified

“…No entanto, a distribuição estatística dos espalhadores leva ao mesmo comportamento do espectro angular de potência obtido com o GBSBM. A proposta de Ichitsubo, Tsunekawa e Ebine em [8] é justamente criar um modelo cujo comportamento da dispersão angular e temporal se aproxime do medido. Considerando também uma distribuição uniforme dos espalhadores, o modelo baseia-se nas características estatísticas da distribuição dos prédios para calcular a atenuação em cada múltiplo percurso l por: Neste artigo propõe-se uma combinação dos modelos descritos em [9] e [8].…”

Section: Canal De Transmissãounclassified

“…Muitos modelos geométrico-estatísticos já foram propostos, mas a pouca proximidade com medidas reais publicadas [7] tornam seu uso questionável. A análise apresentada nesse estudo mostra que a combinação dos modelos propostos em [8] e [9] gera resultados muito próximos dos observados em ambientes urbanos [7]. O sistema de simulação desenvolvido a partir do modelo de canal e das especificações do sistema WCDMA é a base para a comparação de topologias de antenas inteligentes.…”

Section: Introductionunclassified

See 1 more Smart Citation

Análise de Modelos de Redes de Antenas Adaptativas para Sistemas WCDMA

Rosa¹,

Barbin²

2004

Anais Do XXI Simpósio Brasileiro De Telecomunicações

View full text Add to dashboard Cite

This paper presents a performance analysis of several adaptive array antennas for WCDMA. This analysis verifies the behavior of the system capacity according to the number of elements of the antenna array and the quantity of fingers in the Rake receiver. Simulation results for pilot based, blind and semi-blind algorithms are compared. The study also shows that linear antenna arrays can achieve a higher capacity per sector than circular arrays.

show abstract

Multipath propagation model of spatio-temporal dispersion observed at base station in urban areas

Cited by 16 publications

References 14 publications

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

Análise de Modelos de Redes de Antenas Adaptativas para Sistemas WCDMA

Contact Info

Product

Resources

About