A Generalized Model for the Spatial Characteristics of the Cellular Mobile Channel

Khan, Noor M.; Simsim, Mohammed T.; Rapajic, P.B.

doi:10.1109/tvt.2007.904532

Cited by 47 publications

(36 citation statements)

References 29 publications

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“…All plots illustrate strong agreement between the proposed 3D model and the similar 2D models. Furthermore, the model has been compared against the validated 2D geometrical scattering channel models [4,8,9]. These 2D models have been validated by comparing their AOA pdf in the azimuth angle with some of the available measured data [24][25][26].…”

Section: Numerical Results and Model's Comparisonsmentioning

confidence: 99%

“…Geometrical scattering channel models have been developed to describe the angle of arrival (AOA) and time of arrival (TOA) probability density functions (pdfs) of the received multipath signals. In the current literature, several two dimensional (2D) [1][2][3][4][5][6][7][8][9][10][11][12][13] and three dimensional (3D) [14][15][16][17] geometrical scattering channel models have been suggested for various types of wireless communication environments. For example, in macrocellular wireless environments, where the base station (BS) antennas are elevated and the scatterers are assumed to be located around only the mobile station (MS) antenna, many 2D and 3D geometric channel models have been developed [3-8, 11, 15, 17].…”

Section: Introductionmentioning

confidence: 99%

“…Jiang and Tan in [8], proposed a circular channel model in which the scatterers are randomly distributed according to an arbitrary scatterer density around the BS within a circle that includes the MS. In [9] Noor et al generalized the elliptical channel model for an arbitrary distribution of scatterers at the MS and/or at the BS. Chen et al in [12] proposed a geometrical scattering channel model for radio propagation in rectangular office buildings where the scatterers are assumed to be randomly distributed as arrays of thin strips.…”

Section: Introductionmentioning

confidence: 99%

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Angle and Time of Arrival Statistics of a Three Dimensional Geometrical Scattering Channel Model for Indoor and Outdoor Propagation Environments

Alsehaili¹,

Noghanian²,

Sebak³

et al. 2010

PIER

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Abstract-In this paper, a three dimensional geometrical scattering channel model for indoor and outdoor wireless propagation environments is introduced. It is based on the assumption that the scatterers are distributed within a spheroid, in which the mobile station and base station are located at the spheroid's foci. This model captures both the spatial and temporal statistical distributions of the received multipath signals. Several angle of arrival and time of arrival probability density functions of the received multipath signals are provided in compact forms. The angle of arrival probability density functions are obtained in terms of both the azimuth and elevation angles. Numerical results are presented to illustrate and verify the derived expressions. To validate the model, it has been compared against some of the available two dimensional models and measured data.

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Section: Numerical Results and Model's Comparisonsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Angle and Time of Arrival Statistics of a Three Dimensional Geometrical Scattering Channel Model for Indoor and Outdoor Propagation Environments

Alsehaili¹,

Noghanian²,

Sebak³

et al. 2010

PIER

View full text Add to dashboard Cite

show abstract

“…The first group of models is defined by geometrical structures that describe the spatial location of the scattering areas in 2D or 3D. The most commonly used geometrical structures are: circle [1][2][3][4], ellipse [3,[5][6][7], ring [8], hemisphere [9], cutting hemisphere [10], and cylinder [11][12][13]. Distribution of scatterers in propagation environment is an additional characteristic that defines each geometrical model.…”

Section: Introductionmentioning

confidence: 99%

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

Ziółkowski

Kelner

2016

Wireless Pers Commun

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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.

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“…For the case when angular distribution of energy around the radio access point (RAP) and user equipment (UE) is used (e.g., uniform [9], Gaussian [10] and more recently Laplacian [11][12][13][14]), the overall azimuthal response is obtained by multiplying the angle-resolved impulse response with the beam pattern [4]. On the other hand, if geometric channel models (GCMs) (e.g., [15][16][17]) are used to determine the channel properties, the antenna effect is usually accounted for by deleting those scatterers not within the antenna beam-scanning range [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Geometrically Based Channel Model for Indoor Radio Propagation With Directional Antennas

Chen

Zhang²,

Qin³

2010

PIER B

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Abstract-A geometrically based channel model is proposed to describe radio propagation in an indoor environment with directional antennas.In conventional geometric channel models (GCMs), distribution of scatterers does not take into account the antenna properties. A different approach is taken here for directional channel modeling. The locations of scattering objects are defined using nonCartesian coordinates comprising an auxiliary geometric parameter ρ and angle-of-arrival (AOA) φ. Subsequently, we present a systematic method to study the influence of antenna pattern on scatterer distribution by applying two heuristic rules, which underpin the connection between the physical wave-propagation process and its canonical GCM. Provided with model preliminaries, important channel parameters including power azimuthal spectrum (PAS), power delay spectrum (PDS), mean effective gain (MEG), and antenna-decoupled PAS are derived and compared against the published data in the existing literature to demonstrate the usefulness of the proposed model.

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A Generalized Model for the Spatial Characteristics of the Cellular Mobile Channel

Cited by 47 publications

References 29 publications

Angle and Time of Arrival Statistics of a Three Dimensional Geometrical Scattering Channel Model for Indoor and Outdoor Propagation Environments

Angle and Time of Arrival Statistics of a Three Dimensional Geometrical Scattering Channel Model for Indoor and Outdoor Propagation Environments

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

Geometrically Based Channel Model for Indoor Radio Propagation With Directional Antennas

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