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dc.contributor.advisor | Peñaranda Foix, Felipe Laureano | es_ES |
dc.contributor.author | Vidal Burdeus, Pablo | es_ES |
dc.date.accessioned | 2020-01-02T08:01:21Z | |
dc.date.available | 2020-01-02T08:01:21Z | |
dc.date.created | 2019-10-16 | es_ES |
dc.date.issued | 2020-01-02 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/133816 | |
dc.description.abstract | [ES] Th goal of this project is to find out if it is possible to use tensor decomposition schemes to compute and analyze broadband MIMO channels. It is well known that SVD decomposition can be used and it is used to implement a MIMO channel and it is also useful implement it. In short, we can relate transmitter and receiver through a matrix with the channel gain. Our goal it is to use tensor decomposition in a MIMO channel. It would provide a different approach to the physical meaning of the decomposition; hopefully it will show the relation between the transmitter and the receiver over delays,of the same instant, symbol, with the channel gain in each moment. The questions we are looking would be: What is SVD? Which is the use of SVD in MIMO channel? What types of tensor decomposition can be used? What type of tensor decomposition suits the most? What is the benefit of tensor decomposition versus SVD? Last part of the project will be testing the different types of tensor decomposition or algorithms we have available. | es_ES |
dc.description.abstract | [EN] Th goal of this project is to find out if it is possible to use tensor decomposition schemes to compute and analyze broadband MIMO channels. It is well known that SVD decomposition can be used and it is used to implement a MIMO channel and it is also useful implement it. In short, we can relate transmitter and receiver through a matrix with the channel gain. Our goal it is to use tensor decomposition in a MIMO channel. It would provide a different approach to the physical meaning of the decomposition; hopefully it will show the relation between the transmitter and the receiver over delays,of the same instant, symbol, with the channel gain in each moment. The questions we are looking would be: What is SVD? Which is the use of SVD in MIMO channel? What types of tensor decomposition can be used? What type of tensor decomposition suits the most? What is the benefit of tensor decomposition versus SVD? Last part of the project will be testing the different types of tensor decomposition or algorithms we have available. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | MIMO | es_ES |
dc.subject | Channel capacity | es_ES |
dc.subject | SVD | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.subject.other | Grado en Ingeniería de Tecnologías y Servicios de Telecomunicación-Grau en Enginyeria de Tecnologies i Serveis de Telecomunicació | es_ES |
dc.title | Uso de la descomposición del tensor en el cálculo de la capacidad de canal en distribución MIMO | es_ES |
dc.type | Proyecto/Trabajo fin de carrera/grado | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació | es_ES |
dc.description.bibliographicCitation | Vidal Burdeus, P. (2019). Uso de la descomposición del tensor en el cálculo de la capacidad de canal en distribución MIMO. http://hdl.handle.net/10251/133816 | es_ES |
dc.description.accrualMethod | TFGM | es_ES |
dc.relation.pasarela | TFGM\113088 | es_ES |