A UTD propagation model in urban microcellular environments

Kanatas, Αthanasios G.; Kountouris, I.D.; Kostaras, G.B.; Constantinou, P.

doi:10.1109/25.554751

Cited by 115 publications

(45 citation statements)

References 15 publications

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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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Section: Introductionmentioning

confidence: 99%

A Uapo-Based Model for Propagation Prediction in Microcellular Environments

Riccio

2009

PIER B

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“…Deterministic methods [41][42][43][44][45][46][47] are based on numerical approaches to the resolution of Maxwell's equations, such as ray launching and ray tracing, or full-wave simulation techniques (method of moment (MoM), finite difference time domain (FDTD) [48], FITD, etc.). These methods are precise but are time-consuming to inherent computational complexity.…”

Section: Definition Of Simulation Scenarios and Resultsmentioning

confidence: 99%

Evaluation of Electromagnetic Dosimetry of Wireless Systems in Complex Indoor Scenarios With Human Body Interaction

Aguirre¹,

Arpon²,

Azpilicueta³

et al. 2012

PIER B

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Abstract-In this work, the influence of human body within the estimation of dosimetric values is analyzed. A simplified human body model, including the dispersive nature of material parameters of internal organs, skin, muscle, bones and other elements has been implemented. Such a model has been included within an indoor scenario in which an in-house 3D ray launching code has been applied to estimate received power levels within the complete scenario. The results enhance previous dosimetric estimations, while giving insight on influence of human body model in power level distribution and enabling to analyze the impact in the complete volume of the scenario.

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“…Various indoor models have been developed in the past based on semi-empirical approaches [10][11][12]. The advantage of these methods is that they require low computational cost but they have limited accuracy in comparison with high precision full wave techniques, which also exhibit very high computational cost [13][14][15][16][17][18][19]. A commitment between accuracy and computational time is acquired with deterministic methods, which are based on Geometrical Optics [20].…”

Section: Indoor Scenario Simulation and Characterizationmentioning

confidence: 99%

Analysis of Wireless Sensor Network Topology and Estimation of Optimal Network Deployment by Deterministic Radio Channel Characterization

Aguirre

López-Iturri

Azpilicueta

et al. 2014

Proceedings of International Electronic Conference on Sensors and Applications

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Abstract:One of the main challenges in the implementation and design of context-aware scenarios is the adequate deployment strategy for Wireless Sensor Networks (WSNs), mainly due to the strong dependence of the radiofrequency physical layer with the surrounding media, which can lead to non-optimal network designs. In this work, radioplanning analysis for WSN deployment is proposed by employing a deterministic 3D ray launching technique in order to provide insight into complex wireless channel behavior in context-aware indoor scenarios. The proposed radioplanning procedure is validated with a testbed implemented with a Mobile Ad Hoc Network WSN following a chain configuration, enabling the analysis and assessment of a rich variety of parameters, such as received signal level, signal quality and estimation of power consumption. The adoption of deterministic radio channel techniques allows the design and further deployment of WSNs in heterogeneous wireless scenarios with optimized behavior in terms of coverage, capacity, quality of service and energy consumption. OPEN ACCESSSensors 2015, 15 3767

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A UTD propagation model in urban microcellular environments

Cited by 115 publications

References 15 publications

A Uapo-Based Model for Propagation Prediction in Microcellular Environments

A Uapo-Based Model for Propagation Prediction in Microcellular Environments

Evaluation of Electromagnetic Dosimetry of Wireless Systems in Complex Indoor Scenarios With Human Body Interaction

Analysis of Wireless Sensor Network Topology and Estimation of Optimal Network Deployment by Deterministic Radio Channel Characterization

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