GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves
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Knowledge AreaArquitectura y Tecnología de Computadoras; Electrónica; Física Aplicada; Ingeniería Eléctrica; Lenguajes y Sistemas Informáticos
SponsorsThis work was supported by the Vicerrectoría de Investigación of the Universidad del Magdalena by FONCIENCIAS 2018 announcement. This research was funded by COLCIENCIAS GRANT, grant number 528/2012.
Realizado en/conUniversidad Politécnica de Cartagena; Universidad del Magdalena; Universidad ICESI
Bibliographic CitationGomez-Rojas J, Guevara D, Navarro A, Pascual-Garcia J. GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves. Electronics. 2019; 8(10):1121. https://doi.org/10.3390/electronics8101121
Wireless channel estimation
MIMO channel estimation
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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