Comparison of measured and predicted time dispersion and direction of arrival for multipath in a small cell environment

Kloch, C.; Liang, G.; Andersen, Jørgen Bach; Pedersen, Gert Frølund; Bertoni, H.L.

doi:10.1109/8.947016

Cited by 27 publications

(29 citation statements)

References 10 publications

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“…The room dimensions are width 11 m, length 19 m and height 2.5 m. Segment size has been chosen 0.5 × 0.5 m and the timestep ∆t is 2 ns, obeying (4) in the corners. Transmitter location is at (x Tx ,y Tx ) = (2,6) near the left wall and receiver locations are (x Rx ,y Rx ) = (4,6), (8,6), (12,6), (16,6). In all instances, the z (vertical, height) coordinates are 1.5 m. The coordinate origin (x,y,z) = (0,0,0) is at the lower left corner.…”

Section: Numerical Examplementioning

confidence: 99%

Diffuse Scattering Model of Indoor Wideband Propagation

Fránek

Andersen

Pedersen

2011

IEEE Trans. Antennas Propagat.

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Abstract-This paper presents a discrete-time numerical algorithm for computing field distributions in indoor environments by diffuse scattering from the walls. Calculations are performed for a rectangular room with semi-reflective walls. The walls are divided into 0.5 × 0.5 m segments, resulting in 2272 wall segments in total and approximately 2 min running time on average computer. Frequency independent power levels at the walls around the circumference of the room and at four receiver locations in the middle of the room are observed. It is demonstrated that after a finite period of initial excitation the field intensity in all locations eventually follows an exponential decay with the same slope and approximately the same level for given delay. These observations are shown to be in good agreement with theory and previous measurements-the slopes of the decay curves for measurement, simulation and theory are found to be 18 dB, 19.4 dB and 20.2 dB per 100 ns, respectively. The remaining differences are further discussed and an additional case of a spherical room is used to demonstrate the influence of the room shape on the results. It is concluded that the presented method is valid as a simple tool for use in indoor radio coverage predictions.

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Section: Numerical Examplementioning

confidence: 99%

Diffuse Scattering Model of Indoor Wideband Propagation

Fránek

Andersen

Pedersen

2011

IEEE Trans. Antennas Propagat.

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“…Both 2-D and 3-D [7][8][9][10][11][12][13][14][15][16], ray tracers have been proposed in the case of urban propagation, similarly for indoor propagation [17][18][19][20][21]. Moreover, to overcome the lack of diffuse radiation due to the roughness of the surfaces ray tracing techniques have been recently improved resorting to diffuse scattering models [22] and radiosity [23]. To improve the computational efficiency instead, some of the proposed algorithms exploit geometrical symmetries, such as vertical symmetry for urban environments.…”

Section: Introductionmentioning

confidence: 99%

A Projective Approach to Electromagnetic Propagation in Complex Environments

Bardati

2009

PIER B

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Abstract-High frequency methods resort to numerical ray tracing for application to complex environments. A new method based on the geometrical projection performed by a ray-congruence has been developed as a preconditioning of the ray tracing procedure. It builds a visibility tree, i.e., a database, storing information on all possible ray paths inside a scenario. The method gives a solution to a class of open problems of ray tracing techniques: ray missing, double (multiple) counting, termination criterion, calculation upgrade. Other features of the method are the multipath map and the multipath classification that allow the user to know the relevance of multipath at any point of the scenario in advance, before ray-tracing calculation.The method can be systematically applied to scenarios pertaining to different applications provided that the objects belong to the class of polyhedrons. Reflected and diffracted contributions in a scene are modelled as secondary sources which are handled with an off-line electromagnetic field calculation.Numerical analysis is provided showing the efficiency of the method.

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“…Moreover, it was found that various urban scenarios with specific peculiarities of the topography influence in different manners on the mutual AOA, EOA, and TD distributions of the total signal [20]- [22], [31]- [38], [43]. From the point of view of designing multiple access networks, it is very important to use some unified spatio-temporal approach for various situations in the urban scene.…”

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confidence: 99%

Signal Power Distribution in the Azimuth, Elevation and Time Delay Domains in Urban Environments for Various Elevations of Base Station Antenna

Blaunstein

Toeltsch²,

Laurila³

et al. 2006

IEEE Trans. Antennas Propagat.

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Abstract-We investigate signal power distribution in the azimuth-of-arrival, elevation-of-arrival and time-of-arrival domains for various positions of the base station antenna located below the rooftop as well as at rooftop level. This article is based on a multiparametric stochastic model we introduced in 2004, as combination of a statistical part, describing an array of buildings randomly distributed at the terrain, and a waveguide model, describing a grid of straight streets with buildings along them. Joint signal power distributions in azimuth-time delay and elevation-azimuth planes are obtained and compared to high-resolution 3-D measurements carried out in downtown Helsinki. A good agreement between theoretical predictions and the measurements is obtained basically, and also regarding the wave-guiding effect and antenna height dependencies. A satisfactory physical explanation, which accounts for the character of the specific building topography, the height and tilt of the antennas, is found. Finally, we present a numerical experiment of changing the base station antenna height, its directivity, and tilt. By this we show that the proposed stochastic approach allows to predict and control a-priori main parameters of smart antenna based only on knowledge of specific features of built-up terrain.

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Comparison of measured and predicted time dispersion and direction of arrival for multipath in a small cell environment

Cited by 27 publications

References 10 publications

Diffuse Scattering Model of Indoor Wideband Propagation

Diffuse Scattering Model of Indoor Wideband Propagation

A Projective Approach to Electromagnetic Propagation in Complex Environments

Signal Power Distribution in the Azimuth, Elevation and Time Delay Domains in Urban Environments for Various Elevations of Base Station Antenna

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