A new approach to solve angular dispersion of discrete ray launching for urban scenarios

Lai, Zhihua; Bessis, Nik; Kuonen, Pierre; Zhang, Jie; Clapworthy, Gordon

doi:10.1109/lapc.2009.5352420

Cited by 13 publications

(12 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite the lower computational complexity compared to image‐RT algorithms, the inherent discretization causes rays to “miss” Rx locations when they propagate and disperse increasing their spatial separation. Ray splitting can be a solution: more rays are introduced after a given distance from the Tx to reduce the angular separation [ Lai et al , ]. Also, proper angular discretization methods based on polygonal shapes can be adopted to overcome resolution limitations [ Rose and Kurner , ].…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…The HDR component is the most complicated part which launches a complete set of combination of diffraction and reflection rays. In [28], the authors implemented the angular dispersion of ray launching to improve its accuracy. Moreover, the model was extended to indoor scenarios in [29] and the combination with other methods was given in [30,31].…”

Section: Intelligent Ray Launching Algorithm (Irla)mentioning

confidence: 99%

The Impact of Antenna Height on 3D Channel: A Ray Launching Based Analysis

et al. 2018

Self Cite

View full text Add to dashboard Cite

Three-dimensional (3D) multi-input-multi-output (MIMO) is one of the enabling technologies for next-generation mobile communication. As the elevation angle in the 3D MIMO channel model might vary against the height of the base station (BS) antenna, it should be considered within channel modeling. In this paper, the impact of antenna height on the channel characteristics of the 3D MIMO channel is investigated by using the intelligent ray launching algorithm (IRLA). Three typical street scenarios, i.e., the straight street, the forked road, and the crossroad, are selected as benchmarks. The joint and marginal probability density functions (PDFs) of both the elevation angle of departure (EAoD) and the elevation angle of arrival (EAoA) are obtained through simulations. Moreover, the elevation angle spread (AS) and the elevation delay spread (DS) under various antenna heights are jointly discussed. Simulation results show that the characteristics of the PDFs of EAoD will vary under different street scenarios. It is observed that in order to obtain the maximum or minimum value of the AS and the DS, the BS antenna should be deployed at half of the building height.

show abstract

“…In this paper, we employ an intelligent ray launching algorithm (IRLA) to conduct RF prediction in three indoor environments, including a classroom, an office, and a corridor, at 37–41.5 GHz (Ka‐band), and present the validation of the prediction accuracy by channel measurements (Yang et al., 2020). The IRLA was first proposed for fast and accurate RF prediction in urban scenarios in (Lai, Bessis, Roche, Song, et al., 2009). Then it was extended to indoor scenarios in (Lai et al., 2010, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…The IRLA was first proposed for fast and accurate RF prediction in urban scenarios in (Lai, Bessis, Roche, Song, et al., 2009). Then it was extended to indoor scenarios in (Lai et al., 2010, 2011). The IRLA‐based simulations were validated by channel measurements for outdoor propagation prediction at 2.14 GHz in Lai et al.…”

Section: Introductionmentioning

confidence: 99%

Verification of an Intelligent Ray Launching Algorithm in Indoor Environments in the Ka‐Band

et al. 2021

Self Cite

View full text Add to dashboard Cite

This paper presents the verification of indoor propagation channel simulations based on an intelligent ray launching algorithm (IRLA) in the Ka‐band of the millimeter‐wave (mmWave) spectrum in various indoor environments, including a classroom, an office, and a corridor, by radio channel measurements. Power delay profiles (PDPs), path loss, and root‐mean‐square (RMS) delay spreads were obtained from both the simulation results and the measurement results. Moreover, parameters of two site‐general path loss models, the close‐in free space reference distance path loss model and the floating‐intercept path loss model, were estimated based on the measured and simulated path loss. The comparison between the simulation results and the measurement results indicates that the IRLA‐based simulation can accurately describe the main characteristics of the indoor propagation channel in the Ka‐band.

show abstract

A new approach to solve angular dispersion of discrete ray launching for urban scenarios

Cited by 13 publications

References 4 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

The Impact of Antenna Height on 3D Channel: A Ray Launching Based Analysis

Verification of an Intelligent Ray Launching Algorithm in Indoor Environments in the Ka‐Band

Contact Info

Product

Resources

About