Simulación de un algoritmo de detección para Mimo Masivo con Matlab.
The challenges of next generation wireless systems such as 5G are those that offer data services at high speeds, that is why the arrangement of multiple antennas such as Massive MIMO is envisaged which, together with an efficient detection of signals in the receiver, would allow with this challengin...
שמור ב:
| מחבר ראשי: | |
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| פורמט: | bachelorThesis |
| שפה: | spa |
| יצא לאור: |
2018
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| נושאים: | |
| גישה מקוונת: | http://dspace.ups.edu.ec/handle/123456789/15951 |
| תגים: |
הוספת תג
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הוספת תג | סיכום: | The challenges of next generation wireless systems such as 5G are those that offer data services at high speeds, that is why the arrangement of multiple antennas such as Massive MIMO is envisaged which, together with an efficient detection of signals in the receiver, would allow with this challenging task Detection schemes such as Matched Filtering (MF), Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) are simple and effective techniques for recovering multiple data streams transmitted in the receiver. That is why this document compares the performance of these detectors for Massive MIMO systems by applying linear detectors such as MF, ZF and MMSE in a spatial multiplexing environment. The results showed that the MMSE receiver exceeds the ZF and MF receivers for different modulation schemes. |
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