Clustering Approach for Geometrically Based Channel Model in Urban Environments

Arias, Marvin R.; Manderson, B.

doi:10.1109/lawp.2006.875887

Cited by 6 publications

(14 citation statements)

References 10 publications

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“…4 we plotted the position of each cluster based on the measurements of the power delay angle profiles (PDAPs) published in [4]. Table II summarize the parameters using the analytical tractable solution as derived in details in [7] and [13] for the angle domain parameters.…”

Section: Simulation and Comparison With Experimental Resultsmentioning

confidence: 99%

“…The average number of clusters and multipath components distribution within a cluster is heavily dependent on the resolution of the parameter estimation algorithm. This also depends on the type of scenario, (indoor or outdoor); e.g., from experimental results for indoor scenarios, Chong et al, Figure 4 X-Y positions of clusters obtained, using the experimental results PDAPs from [4] and the double bounce approach as described in [7]. [6], and Yu et al, [9], They found as most nine and five cluster respectively.…”

Section: Simulation and Comparison With Experimental Resultsmentioning

confidence: 99%

“…In this paper we have derived the marginal Time of Arrival (TOA) pdf, and its application in geometry-based channel models using the clustering approach model described in more details in [7]. In order to evaluate the theoretical PDF derived we have compared it with experimental results published in the open literature.…”

Section: Discussionmentioning

confidence: 99%

“…We assume that each cluster (which includes a number of scatterers) is stationary in the far field. We define the angledelay resolved impulse response of each cluster as [7] ( )…”

Section: Clustering Approach Channel Modelmentioning

confidence: 99%

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Time Domain Cluster PDF and its Application in Geometry-based Statistical Channel Models

Arias

Mandersson

2007

2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications

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This paper presents an approach to derivate the Time of Arrival (TOA) power density function (PDF) and its application in geometry-based statistical channel models for urban environments. The cluster PDF derived can be used to simulate temporal dispersion of the multipath signal grouped in clusters in a variety of urban propagation conditions to quantify second order statistics, i.e., delay spread for a given elliptical shape of the cluster. We propose a clustering approach channel model, and employ it to derive the PDF of TOA of the multipath signal. In order to evaluate the theoretical clusters PDF in time domain proposed, we make computer simulations for the geometry-based channel model proposed and compared it with experimental results published in the open literature. The comparison with experimental results shows good agreement.

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Section: Simulation and Comparison With Experimental Resultsmentioning

confidence: 99%

Section: Simulation and Comparison With Experimental Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…We assume that each cluster (which includes a number of scatterers) is stationary in the far field. We define the angledelay resolved impulse response of each cluster as [7] ( )…”

Section: Clustering Approach Channel Modelmentioning

confidence: 99%

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Time Domain Cluster PDF and its Application in Geometry-based Statistical Channel Models

Arias

Mandersson

2007

2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications

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“…In these models scatterers lie in an ellipse which encompasses the transmitter and the receiver located on the foci, [2], are uniformly distributed around the mobile within either a circle, [3][4][5], an ellipse [5], or a hollow disc, [6], or are spatially distributed at an inverted parabolic spatial distribution on a two-dimensional disc centered at the mobile, [7]. The clustering approach, [8], which considers that signal angular spread comes from several clusters, shows a good agreement with experimental results. Two bounce geometric models, [9], show an improvement in prediction accuracy in both indoor and outdoor macrocellular environments.…”

Section: Introductionmentioning

confidence: 99%

On the Geometric Modeling of the Up link Channel in a Cellular System

Baltzis¹

2008

JESTR

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To meet the challenges of present and future wireless communications realistic propagation models that consider both spatial and temporal channel characteristics are used. However, the complexity of the complete characterization of the wireless medium has pointed out the importance of approximate but simple approaches. The geometrically based methods are typical examples of low-complexity but adequate solutions. Geometric modeling idealizes the aforementioned wireless propagation environment via a geometric abstraction of the spatial relationships among the transmitter, the receiver, and the scatterers. The paper tries to present an efficient way to simulate mobile channels using geometrical-based stochastic scattering models. In parallel with an overview of the most commonly used propagation models, the basic principles of the method as well the main assumptions made are presented. The study is focused on three well-known proposals used for the description of the Angle-of -Arrival and Time-of-Arrival statistics of the incoming multipaths in the uplink of a cellular communication system. In order to demonstrate the characteristics of these models illustrative examples are given. The physical mechanism and motivations behind them are also included providing us with a better understanding of the physical insight of the propagation medium.

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Clusters PDF in angle and time domain for geometrically based channel model

Arias

Mandersson²

Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004.

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Advanced radio system designs have been proposed that are intended to overcome or even take advantage of the radio channel caused by multipath effects in urban environments to achieve even higher performance. In this paper I'll' present analytical expressions for the angle-(lf-arrival power density funclion (PDF) and general analysis for Time of Arrival (npressed in lerms of distance) respectively, for the channel model based on geometry for urban environments. Then I'll' make comparisons with experimental results published in the open literature, in order to evaluate the theoretical PDF proposed. The comparison with experimental results shows good agreement. The PDF derived in this paper can be used to simulate a power-delay-angle profile and to quantify angle spread and delay spread for a given elliptical shape of the cluster.

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Clustering Approach for Geometrically Based Channel Model in Urban Environments

Cited by 6 publications

References 10 publications

Time Domain Cluster PDF and its Application in Geometry-based Statistical Channel Models

Time Domain Cluster PDF and its Application in Geometry-based Statistical Channel Models

On the Geometric Modeling of the Up link Channel in a Cellular System

Clusters PDF in angle and time domain for geometrically based channel model

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