Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga
En este trabajo de grado se explican y desarrollan una serie de métodos de simulación en el software “QuaDRiGa channel modeler”. Este proyecto implica un estudio exhaustivo de esta herramienta, comenzando desde los modelos matemáticos para su operación, los conceptos básicos y su aplicación hacia la...
- Autores:
-
Morales Hernandez, Juan Manuel
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad Militar Nueva Granada
- Repositorio:
- Repositorio UMNG
- Idioma:
- spa
- OAI Identifier:
- oai:repository.umng.edu.co:10654/47610
- Acceso en línea:
- https://hdl.handle.net/10654/47610
- Palabra clave:
- Simulación
Radiocomunicaciones
Modelado de canales
Metodología de simulación
QuaDRiGa Channel Modeler
Evaluación de rendimiento
Simulation
radio communications
Channel modeling
Simulation methodology
QuaDRiGa Channel Modeler
Performance evaluation
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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| dc.title.spa.fl_str_mv |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga |
| dc.title.eng.fl_str_mv |
Radio channel modeling by simulation using Quadriga tool |
| title |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga |
| spellingShingle |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga Simulación Radiocomunicaciones Modelado de canales Metodología de simulación QuaDRiGa Channel Modeler Evaluación de rendimiento Simulation radio communications Channel modeling Simulation methodology QuaDRiGa Channel Modeler Performance evaluation |
| title_short |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga |
| title_full |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga |
| title_fullStr |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga |
| title_full_unstemmed |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga |
| title_sort |
Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga |
| dc.creator.fl_str_mv |
Morales Hernandez, Juan Manuel |
| dc.contributor.advisor.none.fl_str_mv |
Renza Torres, Diego |
| dc.contributor.author.none.fl_str_mv |
Morales Hernandez, Juan Manuel |
| dc.subject.proposal.spa.fl_str_mv |
Simulación Radiocomunicaciones Modelado de canales Metodología de simulación QuaDRiGa Channel Modeler Evaluación de rendimiento |
| topic |
Simulación Radiocomunicaciones Modelado de canales Metodología de simulación QuaDRiGa Channel Modeler Evaluación de rendimiento Simulation radio communications Channel modeling Simulation methodology QuaDRiGa Channel Modeler Performance evaluation |
| dc.subject.proposal.eng.fl_str_mv |
Simulation radio communications Channel modeling Simulation methodology QuaDRiGa Channel Modeler Performance evaluation |
| description |
En este trabajo de grado se explican y desarrollan una serie de métodos de simulación en el software “QuaDRiGa channel modeler”. Este proyecto implica un estudio exhaustivo de esta herramienta, comenzando desde los modelos matemáticos para su operación, los conceptos básicos y su aplicación hacia la simulación de canales de radio. Durante el desarrollo de este trabajo se podrá evidenciar una metodología clara de trabajo sobre la herramienta recalcando sus ventajas y desventajas además de la profundidad en el funcionamiento del software y su aplicación en la simulación de comunicaciones inalámbricas. |
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2024 |
| dc.date.issued.none.fl_str_mv |
2024-03-13 |
| dc.date.accessioned.none.fl_str_mv |
2025-11-06T16:49:43Z |
| dc.date.available.none.fl_str_mv |
2025-11-06T16:49:43Z |
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Tesis/Trabajo de grado - Monografía - Pregrado |
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info:eu-repo/semantics/bachelorThesis |
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http://purl.org/coar/resource_type/c_7a1f |
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http://purl.org/coar/resource_type/c_7a1f |
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https://hdl.handle.net/10654/47610 |
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instname:Universidad Militar Nueva Granada |
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reponame:Repositorio Institucional Universidad Militar Nueva Granada |
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repourl:https://repository.umng.edu.co |
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instname:Universidad Militar Nueva Granada reponame:Repositorio Institucional Universidad Militar Nueva Granada repourl:https://repository.umng.edu.co |
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spa |
| language |
spa |
| dc.relation.references.spa.fl_str_mv |
[1] S. Jaeckel, L. Raschkowski, K. B¨orner, L. Thiele, F. Burkhardt and E. Eberlein, ”QuaDRiGa- Quasi Deterministic Radio Channel Generator, User Manual and Documentation”, Fraunhofer Heinrich Hertz Institute, Tech. Rep. v2.6.1, 2021. [2] IEEE. "On the requirements for quasi-deterministic radio channel models for heterogeneous networks". IEEE Xplore. https://ieeexplore.ieee.org/document/6374332 [3] C. Trevino. "Modelos de propagación". Colecciones Digitales UDLAP. http://catarina.udlap.mx/u_dl_a/tales/documentos/lem/trevino_c_jt/capitulo5.pdf . [4] Colaboradores de los proyectos Wikimedia. "MIMO-OFDM - Wikipedia, la enciclopedia libre". Wikipedia, la enciclopedia libre. https://es.wikipedia.org/wiki/MIMO-OFDM . [5] Rohde Schwarz. "Pruebas de redes MIMO 4x4". Branchenführende Technologiekompetenz | Rohde & Schwarz. https://www.rohde-schwarz.com/es/soluciones/test-and-measurement/mobile-network-testing/expertise/4x4-mimo/pruebas-de-redes-mimo-4x4_232052.html [6] Saber Digital. "¿Qué es la tecnología de antenas MIMO?" Saber digital. https://saber.digital/la-tecnologia-antenas-mimo/ [7] Lin, X. (2021, 8 de febrero). 5G from Space: An Overview of 3GPP Non-Terrestrial Networks. arXiv.org e-Print archive. https://arxiv.org/ftp/arxiv/papers/2103/2103.09156.pdf [8] Gobierno de México. (2014, 1 de enero). Introducción a los Satélites de Comunicaciones. Hacia el espacio. https://haciaelespacio.aem.gob.mx/revistadigital/articul.php?interior=61 [9] S. Jaeckel, "Quasi-deterministic channel modeling and experimental validation in cooperative and massive MIMO deployment topologies," Ph.D. dissertation, TU Ilmenau, Ilmenau, 2017. [10] Jaeckel, S., Raschkowski, L., Börner, K., & Thiele, L. (2014). QuaDRiGa: A 3-D multi-cell channel model with time evolution for enabling virtual field trials. IEEE transactions on antennas and propagation, 62(6), 3242-3256 [11] S. Jaeckel, L. Raschkowski, y L. Thiele, "A 5G-NR satellite extension for the QuaDRiGa channel model," en 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), pp. 142-147, junio de 2022 [12] ITU-R, "Propagation data and prediction methods required for the design of terrestrial broadband millimetric radio access systems operating in a frequency range of about 30 GHz to about 300 GHz," ITU-R Recommendation P.1411-11, International Telecommunication Union, Geneva, Switzerland, Nov. 2019. [13] ITU-R, "Propagation data and prediction methods required for the design of Earth-space telecommunication systems," ITU-R P.618-13, International Telecommunication Union, Geneva, Switzerland, 2013. [14] International Telecommunication Union, "Radiowave propagation in terrestrial land mobile terrestrial systems in the VHF/UHF bands," Rec. UIT-R HDB-44, 2002. [15] ITU-R P.618-13, "Propagation data and prediction methods required for the design of Earth-space telecommunication systems," International Telecommunication Union, Geneva, Switzerland, 2013. [16] Encyclopedia of Analytical Science (Second Edition), 2005. [17] ITU-R P.676, "Attenuation by atmospheric gases," International Telecommunication Union, Geneva, Switzerland, 2018. [18] ITU-R S.1325-3, "Simulation methodologies for determining statistics of short-term interference between co-frequency, codirectional non-geostationary-satellite orbit fixed-satellite service systems in circular orbits and other non-geostationary fixed-satellite service systems in circular orbits or geostationary-satellite orbit fixed-satellite service networks," International Telecommunication Union, Geneva, Switzerland, 2003. [19] ITU-R F.1107-1, "Probabilistic analysis for assessing interference into the fixed service from satellites using the geostationary orbit," International Telecommunication Union, Geneva, Switzerland, 2011. [20] Zhu, Qiuming & Wang, Cheng-Xiang & Hua, Boyu & Kai, Mao & Jiang, Shan & Yao, Mengtian. (2021). 3GPP TR 38.901 Channel Model. 10.1002/9781119471509.w5gref048. [21] 3GPP, "Service requirements for the 5G system," 3GPP Technical Specification 22.261, V16.3.0, 2020. |
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Ingeniería en Telecomunicaciones |
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Facultad de Ingeniería |
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Universidad Militar Nueva Granada |
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Renza Torres, DiegoMorales Hernandez, Juan ManuelIngeniero en Telecomunicaciones2025-11-06T16:49:43Z2025-11-06T16:49:43Z2024-03-13https://hdl.handle.net/10654/47610instname:Universidad Militar Nueva Granadareponame:Repositorio Institucional Universidad Militar Nueva Granadarepourl:https://repository.umng.edu.coEn este trabajo de grado se explican y desarrollan una serie de métodos de simulación en el software “QuaDRiGa channel modeler”. Este proyecto implica un estudio exhaustivo de esta herramienta, comenzando desde los modelos matemáticos para su operación, los conceptos básicos y su aplicación hacia la simulación de canales de radio. Durante el desarrollo de este trabajo se podrá evidenciar una metodología clara de trabajo sobre la herramienta recalcando sus ventajas y desventajas además de la profundidad en el funcionamiento del software y su aplicación en la simulación de comunicaciones inalámbricas.In this degree work a series of simulation methods are explained and developed in the software "QuaDRiGa channel modeler". This project involves an exhaustive study of this tool, starting from the mathematical models for its operation, the basic concepts and its application to the simulation of radio channels. During the development of this work it will be possible to demonstrate a clear methodology of work on the tool emphasizing its advantages and disadvantages in addition to the depth in the operation of the software and its application in the simulation of wireless communications.Pregradoapplicaction/pdfspahttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 InternationalAcceso abiertohttp://purl.org/coar/access_right/c_abf2Modelado de canales de radio mediante simulación utilizando la herramienta QuadrigaRadio channel modeling by simulation using Quadriga toolTesis/Trabajo de grado - Monografía - Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fIngeniería en TelecomunicacionesFacultad de IngenieríaUniversidad Militar Nueva Granada[1] S. Jaeckel, L. Raschkowski, K. B¨orner, L. Thiele, F. Burkhardt and E. Eberlein, ”QuaDRiGa- Quasi Deterministic Radio Channel Generator, User Manual and Documentation”, Fraunhofer Heinrich Hertz Institute, Tech. Rep. v2.6.1, 2021.[2] IEEE. "On the requirements for quasi-deterministic radio channel models for heterogeneous networks". IEEE Xplore. https://ieeexplore.ieee.org/document/6374332[3] C. Trevino. "Modelos de propagación". Colecciones Digitales UDLAP. http://catarina.udlap.mx/u_dl_a/tales/documentos/lem/trevino_c_jt/capitulo5.pdf .[4] Colaboradores de los proyectos Wikimedia. "MIMO-OFDM - Wikipedia, la enciclopedia libre". Wikipedia, la enciclopedia libre. https://es.wikipedia.org/wiki/MIMO-OFDM .[5] Rohde Schwarz. "Pruebas de redes MIMO 4x4". Branchenführende Technologiekompetenz | Rohde & Schwarz. https://www.rohde-schwarz.com/es/soluciones/test-and-measurement/mobile-network-testing/expertise/4x4-mimo/pruebas-de-redes-mimo-4x4_232052.html[6] Saber Digital. "¿Qué es la tecnología de antenas MIMO?" Saber digital. https://saber.digital/la-tecnologia-antenas-mimo/[7] Lin, X. (2021, 8 de febrero). 5G from Space: An Overview of 3GPP Non-Terrestrial Networks. arXiv.org e-Print archive. https://arxiv.org/ftp/arxiv/papers/2103/2103.09156.pdf[8] Gobierno de México. (2014, 1 de enero). Introducción a los Satélites de Comunicaciones. Hacia el espacio. https://haciaelespacio.aem.gob.mx/revistadigital/articul.php?interior=61[9] S. Jaeckel, "Quasi-deterministic channel modeling and experimental validation in cooperative and massive MIMO deployment topologies," Ph.D. dissertation, TU Ilmenau, Ilmenau, 2017.[10] Jaeckel, S., Raschkowski, L., Börner, K., & Thiele, L. (2014). QuaDRiGa: A 3-D multi-cell channel model with time evolution for enabling virtual field trials. IEEE transactions on antennas and propagation, 62(6), 3242-3256[11] S. Jaeckel, L. Raschkowski, y L. Thiele, "A 5G-NR satellite extension for the QuaDRiGa channel model," en 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), pp. 142-147, junio de 2022[12] ITU-R, "Propagation data and prediction methods required for the design of terrestrial broadband millimetric radio access systems operating in a frequency range of about 30 GHz to about 300 GHz," ITU-R Recommendation P.1411-11, International Telecommunication Union, Geneva, Switzerland, Nov. 2019.[13] ITU-R, "Propagation data and prediction methods required for the design of Earth-space telecommunication systems," ITU-R P.618-13, International Telecommunication Union, Geneva, Switzerland, 2013.[14] International Telecommunication Union, "Radiowave propagation in terrestrial land mobile terrestrial systems in the VHF/UHF bands," Rec. UIT-R HDB-44, 2002.[15] ITU-R P.618-13, "Propagation data and prediction methods required for the design of Earth-space telecommunication systems," International Telecommunication Union, Geneva, Switzerland, 2013.[16] Encyclopedia of Analytical Science (Second Edition), 2005.[17] ITU-R P.676, "Attenuation by atmospheric gases," International Telecommunication Union, Geneva, Switzerland, 2018.[18] ITU-R S.1325-3, "Simulation methodologies for determining statistics of short-term interference between co-frequency, codirectional non-geostationary-satellite orbit fixed-satellite service systems in circular orbits and other non-geostationary fixed-satellite service systems in circular orbits or geostationary-satellite orbit fixed-satellite service networks," International Telecommunication Union, Geneva, Switzerland, 2003.[19] ITU-R F.1107-1, "Probabilistic analysis for assessing interference into the fixed service from satellites using the geostationary orbit," International Telecommunication Union, Geneva, Switzerland, 2011.[20] Zhu, Qiuming & Wang, Cheng-Xiang & Hua, Boyu & Kai, Mao & Jiang, Shan & Yao, Mengtian. (2021). 3GPP TR 38.901 Channel Model. 10.1002/9781119471509.w5gref048.[21] 3GPP, "Service requirements for the 5G system," 3GPP Technical Specification 22.261, V16.3.0, 2020.SimulaciónRadiocomunicacionesModelado de canalesMetodología de simulaciónQuaDRiGa Channel ModelerEvaluación de rendimientoSimulationradio communicationsChannel modelingSimulation methodologyQuaDRiGa Channel ModelerPerformance evaluationCalle 100ORIGINALMoralesHernandezJuanManuel2024.pdfMoralesHernandezJuanManuel2024.pdfTesisapplication/pdf2731688https://repository.umng.edu.co/bitstreams/531f094f-799c-472d-a17a-2b60e1b262e8/download6af623e9dea7d58075525582a020af15MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83420https://repository.umng.edu.co/bitstreams/b9a688cc-75fa-40e4-9874-e225ec7e0569/downloada609d7e369577f685ce98c66b903b91bMD52THUMBNAILMoralesHernandezJuanManuel2024.pdf.jpgMoralesHernandezJuanManuel2024.pdf.jpgIM 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