Tracking of Interaction Points for Improved Dynamic Ray Tracing

Quatresooz, Florian; Demey, Simon; Oestges, Claude

doi:10.1109/tvt.2021.3081766

Cited by 14 publications

(12 citation statements)

References 19 publications

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“…( 3) are reported in Appendix B. This approach is similar to the one adopted in [13], but in the following it will be extended to a more general case, where the reflecting wall has a roto-translational motion, and TX, RX, and the reflecting wall can vary their velocities during time, so their motion is accelerated. The basic idea is to use a local reference system integral with the wall (local frame) so that we can resort to the previous case where the wall is at rest and apply equations ( 2) and (3) again, as shown below.…”

Section: A Reflection Points' Calculationmentioning

confidence: 99%

“…Methods to predict the evolution of radio visibility prior to the actual ray tracing run, based on geometric techniques [7], [8], methods to interpolate the evolution of the channel's coefficients based on the speed of the moving transmitter (TX) and receiver (RX) [9] as well as fast techniques to estimate Doppler profiles [10] have been proposed. Only recently, a new paradigm where RT is redesigned specifically for dynamic environments, such as vehicular and smart-factory environments, has been proposed using the definition Dynamic Ray Tracing (DRT) [11]- [13]. The DRT concept implies the use of a dynamic environment database, where all the moving objects, including the radio terminals, vehicles and machine's moving parts, are described in terms of their position, geometric shape, and their speed and acceleration at a given reference time instant t 0 .…”

Section: Introductionmentioning

confidence: 99%

“…In the present work, the DRT concept is described and developed into a full-3D approach that includes multiple-bounce reflection, diffraction and diffuse scattering. With respect to the work presented in [13] the method is fully extended to edge diffraction and the rotation of solid bodies is also taken into account to achieve a general approach for dynamic environments. The DRT concept is described in more detail in section II, the algorithm formulation is presented in section III and applied to both ideal cases and real-world cases where it is checked against literature results including measured power-delay profiles.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On Dynamic Ray Tracing and Anticipative Channel Prediction for Dynamic Environments

Bilibashi¹,

Vitucci²,

Degli-Esposti³

2022

Preprint

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Ray tracing algorithms, that can simulate multipath radio propagation in presence of geometric obstacles such as buildings, objects or vehicles, are becoming quite popular, due to the increasing availability of digital environment databases and high-performance computation platforms, such as multicore computers and cloud computing services. When objects or vehicles are moving, which is the case of industrial or vehicular environments, multiple successive representations of the environment ("snapshots") and multiple ray tracing runs are often necessary, which require a great human effort and a great deal of computation resources. Recently, the Dynamic Ray Tracing (DRT) approach has been proposed to predict the multipath evolution within a given time lapse on the base of the current multipath geometry, assuming constant speeds and/or accelerations for moving objects, using analytical extrapolation formulas. This is done without re-running a full ray tracing for every "snapshot" of the environment, therefore with a great computation time saving. When DRT is embedded in a mobile radio system and used in real-time, ahead-of-time (or anticipative) field prediction is possible that opens the way to interesting applications. In the present work, a full-3D DRT algorithm is presented that allows to account for multiple reflections, edge diffraction and diffuse scattering for the general case where moving objects can translate and rotate. For the purpose of validation, the model is first applied to some ideal cases and then to realistic cases where results are compared with conventional ray tracing simulation and measurements available in the literature.

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Section: A Reflection Points' Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On Dynamic Ray Tracing and Anticipative Channel Prediction for Dynamic Environments

Bilibashi¹,

Vitucci²,

Degli-Esposti³

2022

Preprint

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show abstract

“…Advances in state-of-the-art RT techniques has led to high fidelity channel prediction [6]. Dynamic RT is further envisioned to facilitate rapid generation of RT channels which can be used in VDT thus reducing costly drive tests in the field [7].…”

Section: Introductionmentioning

confidence: 99%

Radio Channel Emulation for Virtual Drive Testing with Site-Specific Channels

Mbugua

Chen

Fan

2022

2022 16th European Conference on Antennas and Propagation (EuCAP)

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“…The computationally intensive tasks in ray-tracing models for vehicular communications include the identification of visible surfaces for the mobile transmitter using the so-called visibility algorithms; and validation of diffuse scattering rays and specular rays of higher order. Since the visibility is constantly changing in highly dynamic vehicular scenarios, identification of visible scatterers requires significant pre-processing that makes the ray-tracing models less attractive for propagation modeling in vehicular networks [1].However, recent works have proposed dynamic ray tracing to compute Doppler shifts [2] and tracking of ray interaction points [3] in highly dynamic vehicle-to-vehicle scenarios.…”

Section: Introductionmentioning

confidence: 99%

A Visibility Matching Technique for Efficient Millimeter-Wave Vehicular Channel Modeling

Hussain

Brennan

2022

IEEE Trans. Antennas Propagat.

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Site specific propagation models for highly dynamic vehicle-to-vehicle scenarios become time consuming as the identification of visible surfaces must be performed independently for each transmitter location. Moreover the validation of higher order of ray interactions presents a significant computational overhead. This paper presents an efficient ray-tracing algorithm for vehicle-to-vehicle propagation prediction. The model presented in this paper extends a previous model that uses a pre-computed database of intra-visibility of walls and edges in the environment. The model computes the list of faces and edges that are directly visible to the mobile receiver. This visibility information is then used to reduce the image-tree thereby accelerating the ray validation. The paper also presents an efficient technique to compute diffuse scattered rays in a timely manner. The validation results show considerable time saving over previous models.

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Tracking of Interaction Points for Improved Dynamic Ray Tracing

Cited by 14 publications

References 19 publications

On Dynamic Ray Tracing and Anticipative Channel Prediction for Dynamic Environments

On Dynamic Ray Tracing and Anticipative Channel Prediction for Dynamic Environments

Radio Channel Emulation for Virtual Drive Testing with Site-Specific Channels

A Visibility Matching Technique for Efficient Millimeter-Wave Vehicular Channel Modeling

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