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...
- Autores:
-
Gomez Rojas, Jorge
Navarro, Andres
Guevara_Ibarra, Dinael
Pascual-Garcia, Juan
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/842
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/842
https://doi.org/10.3390/electronics8101121
- Palabra clave:
- ray launching
game engines
hardware acceleration
wireless channel estimation
MIMO channel estimation
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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GPU acceleration and game engines for wireless channel estimation in millimeter waves |
| title |
GPU acceleration and game engines for wireless channel estimation in millimeter waves |
| spellingShingle |
GPU acceleration and game engines for wireless channel estimation in millimeter waves ray launching game engines hardware acceleration wireless channel estimation MIMO channel estimation |
| title_short |
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_sort |
GPU acceleration and game engines for wireless channel estimation in millimeter waves |
| dc.creator.fl_str_mv |
Gomez Rojas, Jorge Navarro, Andres Guevara_Ibarra, Dinael Pascual-Garcia, Juan |
| dc.contributor.author.none.fl_str_mv |
Gomez Rojas, Jorge Navarro, Andres Guevara_Ibarra, Dinael Pascual-Garcia, Juan |
| dc.subject.proposal.eng.fl_str_mv |
ray launching game engines hardware acceleration wireless channel estimation MIMO channel estimation |
| topic |
ray launching game engines hardware acceleration wireless channel estimation MIMO channel estimation |
| 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). |
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2019 |
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2019-10-05 |
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2021-11-10T15:57:00Z |
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2021-11-10T15:57:00Z |
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Artículo de revista |
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https://doi.org/10.3390/electronics8101121 |
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http://repositorio.ufps.edu.co/handle/ufps/842 https://doi.org/10.3390/electronics8101121 |
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eng |
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eng |
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Electronics |
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Vol.8 No.10.(2019) |
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12 |
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10(2019) |
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Gomez-Rojas, J., Guevara, D., Navarro, A., & Pascual-Garcia, J. (2019). GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves. Electronics, 8(10), 1121. |
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Electronics |
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openAccess |
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Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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12 páginas |
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Electronics |
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Gomez Rojas, Jorge076ee3ce3223febb11b5069867d9fb9f600Navarro, Andresbe4cb8feaf490d0bee70babf0d0d9882600Guevara_Ibarra, Dinael98f84bfce25df13981a5e3526f0f7938Pascual-Garcia, Juan1508d4704c63e584849e906ea434910e2021-11-10T15:57:00Z2021-11-10T15:57:00Z2019-10-05http://repositorio.ufps.edu.co/handle/ufps/842https://doi.org/10.3390/electronics8101121In 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).12 páginasapplication/pdfengElectronicsSuizaElectronicsVol.8 No.10.(2019)1210(2019)18Gomez-Rojas, J., Guevara, D., Navarro, A., & Pascual-Garcia, J. (2019). GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves. Electronics, 8(10), 1121.Electronics© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://www.mdpi.com/2079-9292/8/10/1121/htmGPU acceleration and game engines for wireless channel estimation in millimeter wavesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85ray launchinggame engineshardware accelerationwireless channel estimationMIMO channel estimationCalabuig, J.; Monserrat, J.F.; Gomez-Barquero, D. 5th Generation Mobile Networks: A New Opportunity for the Convergence of Mobile Broadband and Broadcast Services. IEEE Commun. Mag. 2015, 53, 198–205.Fettweis, G.; Alamouti, S. 5G: Personal mobile internet beyond what cellular did to telephony. IEEE Commun. Mag. 2014, 52, 140–145.International Wireless Industry Consortium (IWPC), Evolutionary & Disruptive Visions Towards Ultra High Capacity Networks. Available online:https://www.iwpc.orgGupta, A.; Jha, R.K. A Survey of 5G Network: Architecture and Emerging Technologies. IEEE Access 2015, 3, 1206–1232.Chandrasekhar, V.; Andrews, J.G.; Gatherer, A. Femtocell Networks: A Survey. IEEE Commun. Mag. 2008, 46, 59–67.Thompson, J.; Ge, X.; Wu, H.-C.; Irmer, R.; Jiang, H.; Fettweis, G.; Alamouti, S. 5G Wireless Communication Systems: Prospects and Challenges. IEEE Commun. Mag. 2014, 52, 62–64.Busari, S.A.; Mumtaz, S.; Al-Rubaye, S.; Rodríguez, J. 5G Millimeter-Wave Mobile Broadband: Performance and Challenges. IEEE Commun. Mag. 2018, 56, 137–143.Ni, Y.; Liang, J.; Shi, X.; Ban, D. Research on key technology in 5G mobile communication network. In Proceedings of the 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), Changsha, China, 12–13 January 2019.Degli-Esposti, V. Ray Tracing propagation modelling: Future prospects. In Proceedings of the 8th European Conference on Antennas and Propagation (EuCAP 2014), The Hague, The Netherlands, 6–11 April 2014.Rao, C.V.K.P. Signal modeling with stochastic and deterministic data: A lossless inverse scattering approach. In Proceedings of the ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, New York, NY, USA, 11–14 April 1988.Key, C.; Troksa, B.; Kunkel, F.; Savic, S.V.; Ilic, M.M.; Notaros, B.M. Comparison of three sampling methods for shooting-bouncing ray tracing ssing a simple waveguide model. In Proceedings of the 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, Boston, MA, USA, 8–13 July 2018.Martinez-Ingle, M.-T.; Pascual-García, J.; Rodríguez, J.-V.; Molina-Garcia-Pardo, J.-M.; Juan-Llácer, L.; Gaillot, D.P.; Liénard, M.; Degauque, P. Indoor radio channel characterization at 60 GHz. In Proceedings of the 2013 7th European Conference on Antennas and Propagation (EuCAP), Gothenburg, Sweden, 8–12 April 2013.Martinez-Ingles, M.-T.; Gaillot, D.P.; Pascual-Garcia, J.; Molina-Garcia-Pardo, J.-M.; Lienard, M.; Rodriguez, J.-V. Deterministic and Experimental Indoor mmW Channel Modeling. IEEE Antennas Wirel. Propag. Lett. 2014, 13, 1047–1050.Zhu, M.; Singh, A.; Tufvesson, F. Measurement based ray launching for analysis of outdoor propagation. In Proceedings of the 2012 6th European Conference on Antennas and Propagation (EUCAP), Prague, Czech Republic, 26–30 March 2012.Lai, Z.; Bessis, N.; de LaRoche, G.; Song, H.; Zhang, J.; Clapworthy, G. An intelligent ray launching for urban prediction. In Proceedings of the 2009 3rd European Conference on Antennas and Propagation, Berlin, Germany, 23–27 March 2009.Weng, J.; Tu, X.; Lai, Z.; Salous, S.; Zhang, J. Modelling the mmWave channel based on intelligent ray launching model. In Proceedings of the 2015 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal, 13–17 April 2015.Durgin, G.; Patwari, N.; Rappaport, T.S. An advanced 3D ray launching method for wireless propagation prediction. In Proceedings of the 1997 IEEE 47th Vehicular Technology Conference, Phoenix, AZ, USA, 4–7 May 1997.Lu, W.; Chan, K. Advanced 3D Ray Tracing Method for Indoor Propagation Prediction. Electron. Lett. 1998, 34, 1259–1260.Navarro, A.; Guevara, D.; Gomez, J. A Proposal to Improve Ray Launching Techniques. IEEE Antennas Wirel. Propag. Lett. 2019, 18, 143–146.Liang, G.; Bertoni, H. A New Approach to 3-D Ray Tracing for Propagation Prediction in Cities. IEEE Trans. Antennas Propag. 1998, 46, 853–863.Navarro, A.; Guevara, D.; Cardona, N.; Gomez, J. Heuristic UTD Coefficients for Delay Spread Prediction in an Indoor Scenario. In Proceedings of the 11th European Conference on Antennas and Propagation (EUCAP), Paris, France, 19–24 March 2017.Chen, S.-H.; Jeng, S.-K. An SBR/Image Approach for Radio Wave Propagation in Indoor Environments with Metallic Furniture. IEEE Trans. Antennas Propag. 1997, 45, 98–106.Yun, Z.; Iskander, M.F. Ray Tracing for Radio Propagation Modeling: Principles and Applications. IEEE Access 2015, 3, 1089–1100.Schneider, C.; Sommerkorn, G.; Narandzic, M.; Kaske, M.; Hong, A.; Algeier, V.; Kotterman, W.A.T.; Thoma, R.S.; Jandura, C. 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In Proceedings of the 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), Glasgow, UK, 11–14 May 2015.ORIGINALGPU Acceleration and Game Engines for Wireless Channel Estimation in MillimeterWaves.pdfGPU Acceleration and Game Engines for Wireless Channel Estimation in MillimeterWaves.pdfapplication/pdf3035217https://repositorio.ufps.edu.co/bitstream/ufps/842/1/GPU%20Acceleration%20and%20Game%20Engines%20for%20Wireless%20Channel%20Estimation%20in%20MillimeterWaves.pdfb866e063bdd9bbe3ff6cd3ff2687212fMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.ufps.edu.co/bitstream/ufps/842/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTGPU Acceleration and Game Engines for Wireless Channel Estimation in MillimeterWaves.pdf.txtGPU Acceleration and Game Engines for Wireless Channel Estimation in MillimeterWaves.pdf.txtExtracted 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0002-4154-2119be4cb8feaf490d0bee70babf0d0d9882600 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