TY - JOUR A1 - Gómez Rojas, Jorge AU - Guevara Ibarra, Dinael AU - Navarro, Andrés AU - Pascual García, Juan T1 - GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves Y1 - 2019 SN - 2079-9292 UR - http://hdl.handle.net/10317/9396 AB - 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). KW - Arquitectura y Tecnología de Computadoras KW - Electrónica KW - Física Aplicada KW - Ingeniería Eléctrica KW - Lenguajes y Sistemas Informáticos KW - Ray launching KW - Game engines KW - Hardware acceleration KW - Wireless channel estimation KW - MIMO channel estimation KW - 1203.18 Sistemas de Información, Diseño Componentes KW - 1203.17 Informática LA - eng PB - MDPI ER -