Accuracy of depolarization and delay spread predictions using advanced ray-based modeling in indoor scenarios

Mani, Francesco; Quitin, François; Oestges, Claude

doi:10.1186/1687-1499-2011-11

Cited by 32 publications

(32 citation statements)

References 24 publications

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“…to the considered object) and in the forward half space (Tx and Rx located at opposite sides). Regarding the scattering pattern, several studies have proved that a single-lobe pattern centered on the direction of the specular reflection/transmission is often the best representation [9,11,18,19]. In summary, the power density p of DS in a generic scattering direction can be expressed in the following form [20]:…”

Section: Ray Tracing Modelmentioning

confidence: 99%

Item level characterization of mm-wave indoor propagation

Fuschini

Häfner

Zoli

et al. 2016

J Wireless Com Network

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According to the current prospect of allocating next generation wireless systems in the underutilized millimeter frequency bands, a thorough characterization of mm-wave propagation represents a pressing necessity. In this work, an "item level" characterization of radiowave propagation at 70 GHz is carried out. The scattering properties of several, different objects commonly present in indoor environment are investigated by means of measurements carried out in an anechoic chamber. The measured data have been also exploited to tune some parameters of a 3D ray tracing model.

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Section: Ray Tracing Modelmentioning

confidence: 99%

Item level characterization of mm-wave indoor propagation

Fuschini

Häfner

Zoli

et al. 2016

J Wireless Com Network

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“…Since the total power density exhibits no exponential decay, it is not modeled with a circuit model. Likewise, the energy density for the adjacent rooms case is found by integrating (18). Following the same procedure, the total power density is as follows:…”

Section: Model For Incident Power Density For Wlan -Narrow Bandsysmentioning

confidence: 99%

“…The incident source is a LOS plane wave perpendicular to the surfaces (θ i =0), therefore the calculation of (32) leads to ρ = 1 π =0.318. Note that using a directive scattering pattern instead of a lambertian model, [18] has found that a scattering coefficient of 0.4 is the best value for an office environment. Moreover, [9] used a lambertian model and found a scattering coefficient of 0.316.…”

Section: A Determination Of the Reverberation Timementioning

confidence: 99%

Circuit Model for Diffuse Multipath and Electromagnetic Absorption Prediction in Rooms

Bamba

Joseph

Tanghe

et al. 2013

IEEE Trans. Antennas Propagat.

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Abstract-We present a room electromagnetics based theory which primarily models the Diffuse Multipath Components (DMC) power density with a simple circuit model, and afterwards includes the Line-Of-Sight (LOS) component to predict the total exposure in a realistic environment. Given a human absorption cross section (ACS) and its location from a transmitter (Tx), the whole-body absorption rate (SAR wb ) can be determined by the proposed circuit model for Ultra Wide Band (UWB) and Wireless Local Area Network (WLAN) systems. The SAR wb in humans in a realistic office environment for both UWB and WLAN systems is investigated as part of application. The theory is simulated with the Advanced Design System (ADS) software, and excellent agreement between theoretical and simulated values are obtained in terms of relative errors (<2%). The model may be very useful for SAR wb prediction in realistic complex indoor environments.

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“…The geometrical relationships between the incident and the reected/penetrated/diffracted rays are based on optical principle. We use the approximation that the path direction of a ray undergoing penetration is not modi ed by this interaction [4].…”

Section: A Specular Componentsmentioning

confidence: 99%

“…We extend the diffuse scattering algorithm for rough surfaces developed in [2], [4] to involve temporally correlated realizations for the single bounce scattering case. • For indoor environments the large number of diffuse propagation paths causes a high computational complexity for standard RT algorithms.…”

Section: Introductionmentioning

confidence: 99%

A ray tracing algorithm using the discrete prolate spheroidal subspace

Gan

Mani

Kaltenberger

et al. 2013

2013 IEEE International Conference on Communications (ICC)

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Ray tracing (RT) is an accurate propagation prediction tool that has been widely used to simulate channel characteristics in indoor environments. To date, the developed RT tool includes not only specular re ection, penetration through dielectric blocks and diffraction, but also diffuse scattering mechanisms. The accuracy, provided by a detailed modeling of the environment, comes at the cost of a high computational complexity, which directly scales with the number of propagation paths considered. We are interested in simulating the radio propagation conditions for a mobile terminal, communicating in a frame based communication system indoors with several xed nodes. This communication shall be used to obtain the position of the mobile terminal in indoor scenario. Therefore, the correlated temporal and spatial evolution of the channel impulse response is of utmost concern. In this paper, we propose a method to signi cantly reduce the computational complexity of RT by using a projection of all propagation paths on a subspace spanned by two-dimensional discrete prolate spheroidal (DPS) sequences. With this method the computational complexity can be reduced by more than one order of magnitude for indoor scenarios. The accuracy of our low-complexity DPS subspace based RT algorithm is veri ed by numeric simulations.

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Accuracy of depolarization and delay spread predictions using advanced ray-based modeling in indoor scenarios

Cited by 32 publications

References 24 publications

Item level characterization of mm-wave indoor propagation

Item level characterization of mm-wave indoor propagation

Circuit Model for Diffuse Multipath and Electromagnetic Absorption Prediction in Rooms

A ray tracing algorithm using the discrete prolate spheroidal subspace

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