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Open AccessArticle

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

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Facultad de Ingeniería, Universidad del Magdalena, Carrera 32 No.22-08, Santa Marta 470004, Colombia
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Departamento de Electricidad y Electrónica, Universidad Francisco de Paula Santader, Avenida Gran Colombia No. 12E-96, Cucuta 540006, Colombia
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Departamento de Tecnologías de Información y Comunicaciones, Universidad ICESI, Cali 760031, Colombia
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Departamento de Tecnologías de Información y las Comunicaciones, Universidad Politecnica de Cartagena, Plaza del Cronista Isidro Valverde, 30202 Cartagena, Spain
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(10), 1121; https://doi.org/10.3390/electronics8101121
Received: 19 August 2019 / Revised: 24 September 2019 / Accepted: 2 October 2019 / Published: 5 October 2019
(This article belongs to the Section Microwave and Wireless Communications)
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). View Full-Text
Keywords: ray launching; game engines; hardware acceleration; wireless channel estimation; MIMO channel estimation ray launching; game engines; hardware acceleration; wireless channel estimation; MIMO channel estimation
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MDPI and ACS Style

Gomez-Rojas, J.; Guevara, D.; Navarro, A.; Pascual-Garcia, J. GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves. Electronics 2019, 8, 1121.

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