Accelerating Radio Wave Propagation Algorithms by Implementation on Graphics Hardware

Rick, Tobias; Kuhlen, Torsten

doi:10.5772/6848

Cited by 4 publications

(4 citation statements)

References 34 publications

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“…In Rich and Kuhlen [] speedups of 2.5X for over‐rooftop predictions and up to 160X for predictions in urban street canyons are reported, with respect to simulations carried out with a standard ray launching algorithm, in a typical urban environment. In full‐3‐D ray/tube tracing simulations, average reduction factors of 30 times in computation time can be obtained, as reported in Yubo et al [].…”

Section: State‐of‐the Art Of Rt Techniques For Radio Propagation Modementioning

confidence: 99%

“…Due to the massive parallelization capabilities of GP‐GPUs, considerable reduction in computation time of ray tracing/ray launching simulations can be obtained especially when the GPU‐based implementation is combined with efficient shouting and bouncing ray algorithms like BSP or kd‐tree [ Catrein et al , ; Rich and Kuhlen , ]. Of course the algorithm code must be properly modified or interfaced to allow proper parallelization on the GPU.…”

Section: State‐of‐the Art Of Rt Techniques For Radio Propagation Modementioning

confidence: 99%

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Ray tracing propagation modeling for future small-cell and indoor applications: A review of current techniques

et al. 2015

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Applied for the first time to mobile radio propagation modeling at the beginning of the nineties, ray tracing is now living a second youth. It is probably the best model to assist in the design and planning of future short-range, millimeter-wave wireless systems, where the more limited propagation environment with respect to UHF frequencies allows to overcome traditional high-CPU time limitations while the higher operating frequency makes ray-optics approximations less drastic and allows to achieve an unprecedented level of accuracy. An overview of ray tracing propagation modeling is given in this paper, with a special attention to future prospects and applications. In particular, frontiers of ray-based propagation modeling such as extension to diffuse scattering, multidimensional channel characterization, multiple-input multiple-output (MIMO) capacity assessments, and future applications such as real-time ray tracing are addressed in the paper with reference to the work recently carried out at the University of Bologna.

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Section: State‐of‐the Art Of Rt Techniques For Radio Propagation Modementioning

confidence: 99%

Section: State‐of‐the Art Of Rt Techniques For Radio Propagation Modementioning

confidence: 99%

Ray tracing propagation modeling for future small-cell and indoor applications: A review of current techniques

et al. 2015

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“…Lately, the increasing interest in RT models is being also stimulated by the ongoing idea of allocating next generation wireless systems in the millimeter-wave bands to cope with the unceasing demand for higher data rates [3,5], since of course the higher the operating frequency, the more accurate the ray-optics approximations. Moreover, due to the technological evolution, computational resources available to radio wave engineers can be expected to become greater and cheaper in the future, contributing to overcome traditional high-CPU time limitations [8].…”

Section: Introductionmentioning

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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“…In this category, the Angular Zbuffer (AZB) (Cátedra et al, 1998) or the Space Volumetric Partitioning (SVP) (Cátedra & Arriaga, 1999) is included. Additional acceleration can be achieved when the same algorithms are developed in Graphic Processing Units (GPUs) instead of Central Process Units (CPUs) (Ricks & Kuhlen, 2010). Fortunately, this is not restricted to visibility algorithms but it is suitable for all kind of algorithms consisting of loops, matrix operations, etc.…”

Section: Fast Visibility Algorithm For Solving the Visibility Problemmentioning

confidence: 99%

High Frequency Techniques: the Physical Optics Approximation and the Modified Equivalent Current Approximation (MECA)

Gutierrez-Meana¹,

Martínez-Lorenzo²,

Las-Heras³

2011

Electromagnetic Waves Propagation in Complex Matter

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Accelerating Radio Wave Propagation Algorithms by Implementation on Graphics Hardware

Cited by 4 publications

References 34 publications

Ray tracing propagation modeling for future small-cell and indoor applications: A review of current techniques

Ray tracing propagation modeling for future small-cell and indoor applications: A review of current techniques

Item level characterization of mm-wave indoor propagation

High Frequency Techniques: the Physical Optics Approximation and the Modified Equivalent Current Approximation (MECA)

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