Soraya Norma Mustika, Huang-Wan Jen, Rini Nurhasanah, Wijono
MIMO (multi input multi output) has its limitation, because of that many researcher have developed a massive MIMO system. In linear detector massive MIMO system one of the main problem is placed on Uplink in MIMO system, because Massive MIMO system have to deal with huge matrix inversion to find approximate transmitted data. Because of this, we are trying to find new way to approximate transmitted data while reducing the complexity in the inverse huge matrix. In this paper, we are using SVD (Singular Value Decomposition) for two common linear detection which is Zero Forcing and Minimum Mean-Square Error (MMSE). To fulfil that, SVD algorithm when updating one user join or leave the base station, Given Rotation and GolubReinsch algorithm applied. If we need to minimalize the error, we have to redundant the reinsch algorithm. The trade-off of redundant the Reinsch algorithm is the complexityis higher. But still, the complexity is less than Neumann series and the exact inversion. © International Research Publication House.
Electrical Engineering, University of Brawijaya, VeteranKetawanggede, Kota Malang, 65145, Indonesia; Institute Communication Engineering, National Sun Yat-sen University, No. 70, Lianhai Rd., Kaohsiung, 804, Taiwan
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