GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves
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 per...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/8/10/1121 |
| _version_ | 1811187441347854336 |
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| author | Jorge Gomez-Rojas Dinael Guevara Andres Navarro Juan Pascual-Garcia |
| author_facet | Jorge Gomez-Rojas Dinael Guevara Andres Navarro Juan Pascual-Garcia |
| author_sort | Jorge Gomez-Rojas |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-04-11T14:02:26Z |
| format | Article |
| id | doaj.art-4874657ae6a94c7fba4b334c5d88a80e |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T14:02:26Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4874657ae6a94c7fba4b334c5d88a80e2022-12-22T04:20:02ZengMDPI AGElectronics2079-92922019-10-01810112110.3390/electronics8101121electronics8101121GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter WavesJorge Gomez-Rojas0Dinael Guevara1Andres Navarro2Juan Pascual-Garcia3Facultad de Ingeniería, Universidad del Magdalena, Carrera 32 No.22-08, Santa Marta 470004, ColombiaDepartamento de Electricidad y Electrónica, Universidad Francisco de Paula Santader, Avenida Gran Colombia No. 12E-96, Cucuta 540006, ColombiaDepartamento de Tecnologías de Información y Comunicaciones, Universidad ICESI, Cali 760031, ColombiaDepartamento de Tecnologías de Información y las Comunicaciones, Universidad Politecnica de Cartagena, Plaza del Cronista Isidro Valverde, 30202 Cartagena, SpainIn 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).https://www.mdpi.com/2079-9292/8/10/1121ray launchinggame engineshardware accelerationwireless channel estimationmimo channel estimation |
| spellingShingle | Jorge Gomez-Rojas Dinael Guevara Andres Navarro Juan Pascual-Garcia GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves Electronics ray launching game engines hardware acceleration wireless channel estimation mimo channel estimation |
| title | GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves |
| title_full | GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves |
| title_fullStr | GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves |
| title_full_unstemmed | GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves |
| title_short | GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves |
| title_sort | gpu acceleration and game engines for wireless channel estimation in millimeter waves |
| topic | ray launching game engines hardware acceleration wireless channel estimation mimo channel estimation |
| url | https://www.mdpi.com/2079-9292/8/10/1121 |
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