Two-dimensional ray-tracing modeling for propagation prediction in microcellular environments

Rizk, K.; Wagen, J.-F.; Gardiol, F. E.

doi:10.1109/25.580789

Cited by 203 publications

(118 citation statements)

References 11 publications

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“…In the past, extensive microcellular-type measurements were conducted in this area and at this frequency [2], [20], [21]. One of the conclusions from these measurements was that the received field strength could not be predicted satisfactorily using a model based only on reflection and diffraction.…”

Section: Propagation Prediction Resultsmentioning

confidence: 99%

“…The attenuation of rays passing through tree canopies is also taken into account and is computed as the product of the total path length inside the canopies and the specific attenuation coefficient . The ray-tracing engine makes use of the concept of virtual sources [2] that, together with the real source (the base station antenna), completely describe the field distribution due to the interaction with the environment. The prediction area is divided into square pixels.…”

Section: Propagation Prediction Resultsmentioning

confidence: 99%

“…Ray-based propagation prediction, in which the propagation of radiowaves is described in terms of straight trajectories in space called rays, has emerged as the most successful technique for this purpose. Quasi-two-dimensional ray-based models (often just called twodimensional, or 2-D, models) are quite adequate if transmit and receive heights are well below the average rooftop level [1], [2], as is normally the case in urban microcells. These models have been reported to provide excellent prediction results for a variety of urban scenarios.…”

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confidence: 99%

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A Tree-Scattering Model for Improved Propagation Prediction in Urban Microcells

Jong

Herben

2004

IEEE Trans. Veh. Technol.

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Abstract-This paper presents a model for the scattering of radiowaves from the canopy of a single tree. The canopy is modeled as a cylindrical volume containing randomly distributed and oriented cylinders, representing the branches, and thin disks, representing the leaves. A simple expression for the incoherent scattered field outside the canopy is obtained using Twersky's multiple scattering theory. This expression is shown to agree well with results of scattering measurements on a live tree typical of those found in urban environments. The scattering model can be readily incorporated in ray-based propagation prediction tools that assist the planning of microcellular radio networks. This involves the use of so-called tree-scattered rays, which interact at the tree centers. Path loss predictions generated with the aid of the new model are shown and compared with measured data to illustrate the considerable improvement in prediction accuracy that can be achieved in realistic urban microcellular scenarios by taking into account the scatter from trees.

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Section: Propagation Prediction Resultsmentioning

confidence: 99%

Section: Propagation Prediction Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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A Tree-Scattering Model for Improved Propagation Prediction in Urban Microcells

Jong

Herben

2004

IEEE Trans. Veh. Technol.

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“…Several models [1][2][3][4][5][6] have been recently developed for estimating the field strength in two-or three-dimensional urban scenarios by explicitly considering the edge diffraction terms. They are based on the Geometrical Theory of Diffraction (GTD) for perfectly conducting structures, first proposed by Keller [7], improved by Kouyoumjian and Pathak [8] for removing the inaccuracies close to the incident and reflection boundaries, and subsequently extended by Luebbers [9] to finite conductivity wedges in heuristic way.…”

Section: Introductionmentioning

confidence: 99%

A Uapo-Based Model for Propagation Prediction in Microcellular Environments

Riccio

2009

PIER B

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Abstract-A propagation model is presented in this paper for predicting the field strength in microcellular environments. According to the Geometrical Theory of Diffraction, the total field at a given observation point is calculated by summing the Geometrical Optics contributions and the field diffracted by the edges of each structure. The diffraction contributions are here evaluated by means of a Uniform Asymptotic Physical Optics solution to the corresponding canonical problem. Such a solution, expressed in terms of the standard transition function of the Uniform Theory of Diffraction, has resulted to be able to compensate the Geometrical Optics discontinuities at the shadow boundaries. In this framework, the structures are treated as constituted by lossy dielectric materials assumed to be non penetrable. The effectiveness of the here proposed model has been tested in some typical scenarios by means of comparisons with the Finite Difference Time Domain method.

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“…When the scene database remains the same and the T x moves into the scene, this method shows its best results, since the data stored in the file prevents to analyze again the scenario. A 2D model that simplifies the real scenario by considering only the horizontal 2D propagation mode between infinitely tall buildings is described in [7]. Recently, it has been proposed a simplification based on a heuristic preprocessing of the scenario database [8].…”

Section: Introductionmentioning

confidence: 99%

Arbitrary Voxel Selection for Accelerating a Ray Tracing-Based Field Prediction Model in Urban Environments

Usai¹,

Corucci²,

Genovesi

et al. 2011

PIER C

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Abstract-Great accuracy and reasonable computational time are desirable in a deterministic ray tracing model for an efficient radio frequency planning. An algorithm to speed up a ray tracing engine is described which allows to select arbitrary areas around transmitters and receivers by dividing the scene in a voxel chessboard. The reliability of the algorithm has been evaluated by comparing measured and predicted path losses in real urban scenarios while the algorithm performance is expressed in terms of computational time reduction.

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Two-dimensional ray-tracing modeling for propagation prediction in microcellular environments

Cited by 203 publications

References 11 publications

A Tree-Scattering Model for Improved Propagation Prediction in Urban Microcells

A Tree-Scattering Model for Improved Propagation Prediction in Urban Microcells

A Uapo-Based Model for Propagation Prediction in Microcellular Environments

Arbitrary Voxel Selection for Accelerating a Ray Tracing-Based Field Prediction Model in Urban Environments

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