A new approach for radio propagation modeling in urban environment: knife-edge diffraction combined with 2D ray-tracing

Corre, Yoann; Lostanlen, Yves; Helloco, Yann Le

doi:10.1109/vtc.2002.1002767

Cited by 8 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, some other sites (A0001632, A0001139, A00005BA, A0001983, A00034F4) have better performance in DED-RL than in RT, while the performance of DED-RL and RT is very similar for all the remaining sites. Some of the optimizations suggested in [8] have been applied also in DED-RL, in order to achieve a better performance. For example, for some sites located in hilly regions, the combination of ORT diffraction with scattering and reflection is very important to increase coverage in strongly-NLOS locations: this is the case of site A0002FFC, well described in [6].…”

Section: Comparison Between Ded-rl and Rtmentioning

confidence: 99%

“…Therefore, methods to improve computation time efficiency of ray-based models have been proposed over the years, including the use of 2D approaches [7,8], quasi-3D approaches [9], environment discretization and pre-processing [10], reduction of the urban database and of the number of rays to be traced [11], or cloud computing techniques [12]. Conceived for computer graphics, Graphic Processing Units (GPUs) are now used for a variety of computationally intensive applications such as genomic computation [13], data processing [14], and biomedical applications [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications

Vitucci

Lu²,

Gordon

et al. 2021

Electronics

View full text Add to dashboard Cite

In this work, the Discrete, Environment-Driven Ray Launching (DED-RL) algorithm, which makes use of parallelization on Graphic Processing Units, fully described in a previous paper, has been validated versus a large set of measurements to evaluate its performance in terms of both computational efficiency and accuracy. Three major urban areas have been considered, including a very challenging scenario in central San Francisco that was used as a benchmark to test an image-ray tracing algorithm in a previous work. Results show that DED-RL is as accurate as ray tracing, despite the much lower computation time, reduced by more than three orders of magnitude with respect to ray tracing. Moreover, the accuracy level only marginally depends on discretization pixel size, at least for the considered pixel size range. The unprecedented computational efficiency of DED-RL opens the way to numerous applications, ranging from RF coverage optimization of drone-aided cellular networks to efficient fingerprinting localization applications, as briefly discussed in the paper.

show abstract

Section: Comparison Between Ded-rl and Rtmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications

Vitucci

Lu²,

Gordon

et al. 2021

Electronics

View full text Add to dashboard Cite

show abstract

“…Usually, such obstruction can be modeled as either knife edge or rounded edge obstruction [9][10][11][12][13][14][15][16]. Knife edge obstruction model in most cases underestimates the diffraction loss.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Radius of Curvature of Rounded Edge Hill Obstruction Based on Occultation Distance and ITU-R 526-13 Methods

Uko¹

2017

AJSEA

View full text Add to dashboard Cite

Abstract:In this paper, comparative study of the ITU 526-13 method and the occultation distance-based method for computing the radius of curvature for rounded edged fitted to the vertex of hilltop obstruction is presented. In the study, path profiles of microwave links with isolated single edged hilltop and another path profile with isolated double edged hilltop are used. The frequencies considered are from the 1.5GHz in the L-band to 36GHz in the K-band. The result show that for all the frequencies considered, the occultation distance for the single edged hilltop remained constant at 80.923 m and that for the double edged hilltop remained constant at 532.203 m. Also, while the radius of curvature by the ITU 526-13 method varies with frequency in the two path profiles considered, the radius of curvature by the occultation distance method remained constant for all the frequencies considered in each of the two path profiles considered. Also, for the double edged hilltop, the radius of curvature from ITU 526-13 method greatly exceeded the radius of curvature by the occultation distance method for all the frequencies considered. The least difference in about 58% at frequency of 1.5GHz and the difference increased to about 115% at 36GHz. However, for the single edged hilltop, the radius of curvature for the two methods are relatively equal for frequencies above 6GHz. Essentially, ITU 526-13 method works well like the occultation distance-based method for the single edged hilltop. Further studies are therefore required to determine the situations under which the ITU 526-13 method can be applied in computing the radius of curvature for rounded edge approximation used in diffraction loss computation.

show abstract

“…Another approach is the hybrid imaging technique [4], where the 3D paths research starts from 2D image generations in horizontal and vertical planes. Another method [5] combines horizontal 2D RT and knife-edge diffraction model to take into account the street canyon effect and the radio propagation above rooftop. In [6], a method based on a data base preprocessing is presented.…”

Section: Introductionmentioning

confidence: 99%

Arbitrary Voxel Selection for Accelerating a Ray Tracing-Based Field Prediction Model in Urban Environments

Usai¹,

Corucci²,

Genovesi

et al. 2011

PIER C

View full text Add to dashboard Cite

Abstract-Great accuracy and reasonable computational time are desirable in a deterministic ray tracing model for an efficient radio frequency planning. An algorithm to speed up a ray tracing engine is described which allows to select arbitrary areas around transmitters and receivers by dividing the scene in a voxel chessboard. The reliability of the algorithm has been evaluated by comparing measured and predicted path losses in real urban scenarios while the algorithm performance is expressed in terms of computational time reduction.

show abstract

A new approach for radio propagation modeling in urban environment: knife-edge diffraction combined with 2D ray-tracing

Cited by 8 publications

References 1 publication

Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications

Discrete Environment-Driven GPU-Based Ray Launching: Validation and Applications

Comparative Study of Radius of Curvature of Rounded Edge Hill Obstruction Based on Occultation Distance and ITU-R 526-13 Methods

Arbitrary Voxel Selection for Accelerating a Ray Tracing-Based Field Prediction Model in Urban Environments

Contact Info

Product

Resources

About