Modelamiento y simulación de sistemas mimo
Systems multiple input multiple output (MIMO) take advantage of multipath propagation to reduce the error rate and increase the transmission rate. The IEEE 802.11n standard this kind of technology used for data rates up to 600Mbps and is already proven that 4G cellular technology can achieve transfe...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2010 |
| País: | Ecuador |
| Institución: | Escuela Superior Politécnica del Litoral |
| Repositorio: | Repositorio Escuela Superior Politécnica del Litoral |
| Idioma: | español |
| OAI Identifier: | oai:www.dspace.espol.edu.ec:123456789/9107 |
| Acceso en línea: | http://www.dspace.espol.edu.ec/handle/123456789/9107 |
| Access Level: | acceso abierto |
| Palabra clave: | ZERO FORCING MIMO MINIMUM MEAN SQUARE ERROR BEAMFORMING |
| Sumario: | Systems multiple input multiple output (MIMO) take advantage of multipath propagation to reduce the error rate and increase the transmission rate. The IEEE 802.11n standard this kind of technology used for data rates up to 600Mbps and is already proven that 4G cellular technology can achieve transfer rates up to 100Mbps at a distance of 200m. MIMO has three major categories among them are: Beamforming, Spatial Multiplexing and Diversity Code. In this project we will discuss Beamforming technology, which allows a maximum radiation of the desired signal to the user and in the direction of users interfering signal is reduced. This technique uses two types of EQ to find the matrix of weights between these includes: Zero Forcing and Minimum Mean Square Error. |
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