Flexible Rays

Fernández, Óscar Fernández; Valle, L.; Domingo, M.; Torres, R.P.

doi:10.1109/mvt.2008.919412

Cited by 8 publications

(15 citation statements)

References 14 publications

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“…So, the visibility graph can be generated at high speed. More detailed information regarding the way of applying the BPS algorithm is given in [11]- [13].…”

Section: Deterministic Approachmentioning

confidence: 99%

A Survey of Efficient Ray-Tracing Techniques for Mobile Radio Propagation Analysis

Imai

2017

IEICE Trans. Commun.

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Tetsuro IMAI †a) , Member SUMMARY With the advances in computer processing that have yielded an enormous increase in performance, numerical analytical approaches based on electromagnetic theory have recently been applied to mobile radio propagation analysis. One such approach is the ray-tracing method based on geometrical optics and the uniform geometrical theory of diffraction. In this paper, ray-tracing techniques that have been proposed in order to improve computational accuracy and speed are surveyed. First, imaging and ray-launching methods are described and their extended methods are surveyed as novel fundamental ray-tracing techniques. Next, various ray-tracing acceleration techniques are surveyed and categorized into three approaches, i.e., deterministic, heuristic, and brute force. Then, hybrid methods are surveyed such as those employing Physical optics, the Effective Roughness model, and the Finite-Difference Time-Domain method that have been proposed in order to improve analysis accuracy.

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“…So, the visibility graph can be generated at high speed. More detailed information regarding the way of applying the BPS algorithm is given in [11]- [13].…”

Section: Deterministic Approachmentioning

confidence: 99%

A Survey of Efficient Ray-Tracing Techniques for Mobile Radio Propagation Analysis

Imai

2017

IEICE Trans. Commun.

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“…However, the WAVE and Wi-Fi operating environments are significantly different. Ideally the PHY should be designed based on the measurement and modeling of the wireless channel [10][11][12]. The WAVE channel environment is very much diversified in terms of vehicle density, vehicle velocity, TX power, pathloss, multipath components, coverage range and the environmental electromagnetic interference (EMI).…”

Section: Cross-layer Optimization Of Dsrc Protocol Stackmentioning

confidence: 99%

An Overview of the DSRC/WAVE Technology

2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

151

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Abstract. Wireless vehicular networks operating on the dedicated short-range communications (DSRC) frequency bands are the key enabling technologies for the emerging market of intelligent transport system (ITS). The wireless access in vehicular environments (WAVE) is significantly different from the Wi-Fi and cellular wireless networking environments. The specifications defined by IEEE802.11P and IEEE1609 represent the most mature set of standards for DSRC/WAVE networks. This paper provides an overview of the current state of the art, and analyses the potential differences between application requirements and what can be offered by the current WAVE solutions. It is shown that the current solutions may be inadequate for large-scale deployment. The primary challenge is to develop scalable, robust, low-latency and highthroughput technologies for safety applications that will significantly reduce collisions and save lives and property loss. Further research ideas are proposed to address this challenge.

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“…In these works, several techniques have been used to account for the effect of different kinds of walls and geometrical details, which are critical to estimate signal levels or attenuation in indoor WLAN environments for planning purposes, ranging from empirical models like the two-ray-ground model corrected with fixed attenuations in walls and corners [22] or the COST 231 Multi-Wall Model [24], whose simplicity makes them appropriate for their combination with traffic models, to the most advanced ray tracing based techniques [25][26][27][28] that require a complete description of the physical and electrical characteristics of the environment and provide accurate results at the expense of much higher computational resources. Modified versions of ray launching or ray tracing approaches like the ones presented in [29,30] or methods that combine full wave analysis techniques with multiresolution formalisms like the Multi-Resolution Frequency Domain ParFlow (MR-FDPF) [31], have also been used for this purpose in the WLAN planning field.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, a different approach that addresses the planning of indoor WLAN by carrying out the optimization of the most relevant parameters involved in it, most of them already considered in different ways in the works summarized in the previous paragraph, is presented. In short, the method combines a ray tracing technique [26,27] with an optimizer based on a metaheuristic, the BPSO [32]. A basic version of this approach was previously introduced by the authors in [23] but it has now been improved and its capabilities extended.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, taking into account that most of the computational cost of the approach is associated with the ray tracing step, the choice of the heuristic algorithm does not turn out to be a critical matter apart from its easiness of tuning. Regarding to the ray tracing method, the efficiency of the software used in this work has been achieved by using a combination of image theory and the binary space partitioning (BSP) algorithm, to analyze in an efficient way visibility relationships between the facets of the model for the intended scenario [26,27].…”

Section: Introductionmentioning

confidence: 99%

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Design of Indoor WLANs: Combination of a ray-tracing tool with the BPSO method

Moreno

Domingo

Valle

et al. 2015

IEEE Antennas Propag. Mag.

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This paper presents an approach that combines a ray tracing tool with a binary version of the particle swarm optimization method (BPSO) for the design of infrastructure mode indoor wireless local area networks (WLAN). The approach uses the power levels of a set of candidate access point (AP) locations obtained with the ray tracing tool at a mesh of potential receiver locations or test points to allow the BPSO optimizer to carry out the design of the WLAN. For this purpose, several restrictions are imposed through a fitness function that drives the search towards the selection of a reduced number of AP locations and their channel assignments, keeping at the same time low transmission power levels. During the design, different coverage priority areas can be defined and the signal to interference ratio (SIR) levels are kept as high as possible in order to comply with the Quality of Service (QoS) requirements imposed. The performance of this approach in a real scenario at the author´s premises is reported, showing its usefulness.

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Flexible Rays

Cited by 8 publications

References 14 publications

A Survey of Efficient Ray-Tracing Techniques for Mobile Radio Propagation Analysis

A Survey of Efficient Ray-Tracing Techniques for Mobile Radio Propagation Analysis

An Overview of the DSRC/WAVE Technology

Design of Indoor WLANs: Combination of a ray-tracing tool with the BPSO method

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