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Modelado de canales de radio mediante simulación utilizando la herramienta Quadriga

Radio channel modeling by simulation using Quadriga tool

dc.contributorRenza Torres, Diego
dc.creatorMorales Hernandez, Juan Manuel
dc.date2025-11-06T16:49:43Z
dc.date2025-11-06T16:49:43Z
dc.date2024-03-13
dc.date.accessioned2026-03-25T19:28:08Z
dc.date.available2026-03-25T19:28:08Z
dc.identifierhttps://hdl.handle.net/10654/47610
dc.identifierinstname:Universidad Militar Nueva Granada
dc.identifierreponame:Repositorio Institucional Universidad Militar Nueva Granada
dc.identifierrepourl:https://repository.umng.edu.co
dc.identifier.urihttp://test.repositoriodigital.com:8080/handle/123456789/201361
dc.descriptionEn 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.
dc.descriptionIn 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.
dc.descriptionPregrado
dc.formatapplicaction/pdf
dc.formatapplication/pdf
dc.languagespa
dc.publisherIngeniería en Telecomunicaciones
dc.publisherFacultad de Ingeniería
dc.publisherUniversidad Militar Nueva Granada
dc.relation[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.
dc.relation[2] IEEE. "On the requirements for quasi-deterministic radio channel models for heterogeneous networks". IEEE Xplore. https://ieeexplore.ieee.org/document/6374332
dc.relation[3] C. Trevino. "Modelos de propagación". Colecciones Digitales UDLAP. http://catarina.udlap.mx/u_dl_a/tales/documentos/lem/trevino_c_jt/capitulo5.pdf .
dc.relation[4] Colaboradores de los proyectos Wikimedia. "MIMO-OFDM - Wikipedia, la enciclopedia libre". Wikipedia, la enciclopedia libre. https://es.wikipedia.org/wiki/MIMO-OFDM .
dc.relation[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
dc.relation[6] Saber Digital. "¿Qué es la tecnología de antenas MIMO?" Saber digital. https://saber.digital/la-tecnologia-antenas-mimo/
dc.relation[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
dc.relation[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
dc.relation[9] S. Jaeckel, "Quasi-deterministic channel modeling and experimental validation in cooperative and massive MIMO deployment topologies," Ph.D. dissertation, TU Ilmenau, Ilmenau, 2017.
dc.relation[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
dc.relation[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
dc.relation[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.
dc.relation[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.
dc.relation[14] International Telecommunication Union, "Radiowave propagation in terrestrial land mobile terrestrial systems in the VHF/UHF bands," Rec. UIT-R HDB-44, 2002.
dc.relation[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.
dc.relation[16] Encyclopedia of Analytical Science (Second Edition), 2005.
dc.relation[17] ITU-R P.676, "Attenuation by atmospheric gases," International Telecommunication Union, Geneva, Switzerland, 2018.
dc.relation[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.
dc.relation[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.
dc.relation[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.
dc.relation[21] 3GPP, "Service requirements for the 5G system," 3GPP Technical Specification 22.261, V16.3.0, 2020.
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsAcceso abierto
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectSimulación
dc.subjectRadiocomunicaciones
dc.subjectModelado de canales
dc.subjectMetodología de simulación
dc.subjectQuaDRiGa Channel Modeler
dc.subjectEvaluación de rendimiento
dc.subjectSimulation
dc.subjectradio communications
dc.subjectChannel modeling
dc.subjectSimulation methodology
dc.subjectQuaDRiGa Channel Modeler
dc.subjectPerformance evaluation
dc.titleModelado de canales de radio mediante simulación utilizando la herramienta Quadriga
dc.titleRadio channel modeling by simulation using Quadriga tool
dc.typeTesis/Trabajo de grado - Monografía - Pregrado
dc.typeinfo:eu-repo/semantics/bachelorThesis
dc.typehttp://purl.org/coar/resource_type/c_7a1f
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.coverageCalle 100


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