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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Monteiro, F. A. (2016). Fast Matrix Inversion Updates for Massive MIMO Detection and Precoding. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016).
Exportar Referência (IEEE) 
F. A. Monteiro,  "Fast Matrix Inversion Updates for Massive MIMO Detection and Precoding", in 41st IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, 2016
Exportar BibTeX 
@misc{monteiro2016_1776533903741,
	author = "Monteiro, F. A.",
	title = "Fast Matrix Inversion Updates for Massive MIMO Detection and Precoding",
	year = "2016",
	howpublished = "Outro",
	url = "http://2016.ieeeicassp.org/Papers/PublicSessionIndex3.asp?Sessionid=1109"
}
Exportar RIS 
TY  - CPAPER
TI  - Fast Matrix Inversion Updates for Massive MIMO Detection and Precoding
T2  - 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
AU  - Monteiro, F. A.
PY  - 2016
CY  - Shanghai
UR  - http://2016.ieeeicassp.org/Papers/PublicSessionIndex3.asp?Sessionid=1109
AB  - In this letter, methods and corresponding complexities for fast matrix inversion updates in the context of massive multiple-input multiple-output (MIMO) are studied. In particular, we propose an on-the-fly method to recompute the zero forcing (ZF) filter when a user is added or removed from the system. Additionally, we evaluate the recalculation of the inverse matrix after a new channel estimation is obtained for a given user. Results are evaluated numerically in terms of bit error rate (BER) using the Neumann series approximation as the initial inverse matrix. It is concluded that, with fewer operations, the performance after an update remains close to the initial one.
ER  -