A Proposal to Improve Ray Launching Techniques

Cadavid, Andrés Navarro; Ibarra, Dinael Guevara; Gómez, Jorge M.

doi:10.1109/lawp.2018.2883235

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…The data is fitted to a CI free-space model, also used in research previously reported as [ 40 , 42 ]. Further studies have been performed in order to analyze and enhance wireless channel operation, by analyzing interference impact, the use of deep learning techniques to optimize beam forming parameters or the proposal of new effective receiver volume configurations, among others [ 45 , 46 , 47 , 48 , 49 ].…”

Section: Related Workmentioning

confidence: 99%

Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Rodríguez-Corbo

Azpilicueta

Celaya-Echarri

et al. 2020

Sensors

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The increasing demand for more sensors inside vehicles pursues the intention of making vehicles more “intelligent”. In this context, the vision of fully connected and autonomous cars is becoming more tangible and will turn into a reality in the coming years. The use of these intelligent transport systems will allow the integration of efficient performance in terms of route control, fuel consumption, and traffic administration, among others. Future vehicle-to-everything (V2X) communication will require a wider bandwidth as well as lower latencies than current technologies can offer, to support high-constraint safety applications and data exhaustive information exchanges. To this end, recent investigations have proposed the adoption of the millimeter wave (mmWave) bands to achieve high throughput and low latencies. However, mmWave communications come with high constraints for implementation due to higher free-space losses, poor diffraction, poor signal penetration, among other channel impairments for these high-frequency bands. In this work, a V2X communication channel in the mmWave (28 GHz) band is analyzed by a combination of an empirical study and a deterministic simulation with an in-house 3D ray-launching algorithm. Multiple mmWave V2X links has been modeled for a complex heterogeneous urban scenario in order to capture and analyze different propagation phenomena, providing full volumetric estimation of frequency/power as well as time domain parameters. Large- and small-scale propagation parameters are obtained for a combination of different situations, taking into account the obstruction between the transceivers of vehicles of distinct sizes. These results can aid in the development of modeling techniques for the implementation of mmWave frequency bands in the vehicular context, with the capability of adapting to different scenario requirements in terms of network topology, user density, or transceiver location. The proposed methodology provides accurate wireless channel estimation within the complete volume of the scenario under analysis, considering detailed topological characteristics.

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Section: Related Workmentioning

confidence: 99%

Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Rodríguez-Corbo

Azpilicueta

Celaya-Echarri

et al. 2020

Sensors

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“…En los modelos de trazado de rayos, la predicción se basa en cálculos de transmisión y recepción de rayos en un espacio abierto, teniendo en cuenta principalmente el fenómeno de reflexión. Existen también modelos de trazado más completos que tienen en cuenta otro tipo de fenómenos como lo son, la difracción, dispersión difusa y penetración a través de materiales [8][9][10].…”

Section: Marco Teóricounclassified

Algoritmo de trazado de rayos para modelado de canales inalámbricos en entornos interiores.

Beltrán-Gómez

Camargo

Linero-Ramos

et al. 2020

AiBi Revista de Investigación, Administración e Ingeniería

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Resumen—En este trabajo es propuesto un algoritmo para modelar un canal inalámbrico en un entorno de interiores, usando el método de trazado de rayos conocido como ¨método de imágenes¨ que considera el efecto dispersivo. Este algoritmo fue implementado en Matlab, permitiendo simular escenarios de diferentes dimensiones y con diferentes materiales en sus paredes. El algoritmo propuesto fue validado con un modelo analítico y un software comercial (Wireless Insite). Los dispersores se modelaron con las características dieléctricas de los materiales que le componen, la frecuencia y la distancia, entre otras. Los efectos de reflexión, refracción y difracción también son considerados para aumentar la precisión de la estimación. Con el trabajo propuesto se obtiene un algoritmo para estimar la potencia recibida en un canal inalámbrico de interior que estima el comportamiento del canal. Una simulación de un escenario real es realizada con los resultados obtenidos dentro de los parámetros de la recomendación ITU-R P.1238-7, asegurando su precisión.

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“…When making this division, the wave fronts modify their size, but the relationship in shape and distance in the vicinity of the wave fronts is maintained. The number of rays launched by the transmitting source is given by [19]:…”

Section: Launch Algorithmmentioning

confidence: 99%

“…where N is the frequency of the division. The radial separation is a measure of the angular resolution of the scattering of the rays for ray launching [19] and was used to calculate the angular resolution of separation between the wave front neighborhood:…”

Section: Launch Algorithmmentioning

confidence: 99%

“…In this method, each ray is verified with the generation of a sphere, which makes its computational implementation inefficient for thousands of launched rays. Therefore, the technique of variable spheres is modified to a constant sphere, which is described in [19]. The sphere now has a radius defined by Equation ( 9), calculating the distance of the ray from the maximum expected length according to the propagation in the free space at that distance.…”

Section: Reception Algorithmmentioning

confidence: 99%

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GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves

Rojas¹,

Ibarra²,

Navarro³

et al. 2019

Electronics

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In this article, the intended purpose is to show an innovative technique for estimating the MIMO channel at millimeter wave bands, candidates for mobile 5G technology, by using hardware acceleration, game engines and heuristic algorithms applied to optical ray launching techniques. To verify the performance of the ray launching tool, the normalized Power Delay Profile (PDP) was simulated. The channel was analyzed using the mean square delay error (RMS), the average value of the delay (MD) and the basic propagation loss (PL). The results obtained in computational precision and time were compared with those of a traditional ray tracing tool simulation programmed in MATLAB and with the measurements made in the 57 to 66 GHz range in a specialized laboratory. The results show that the presented technique becomes efficiently profitable from a small number of simulated events (reflections, diffractions).

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A Proposal to Improve Ray Launching Techniques

Cited by 10 publications

References 6 publications

Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Deterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments

Algoritmo de trazado de rayos para modelado de canales inalámbricos en entornos interiores.

GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves

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