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Rosário, F., Monteiro, F. A. & Rodrigues, A. (2016). Fast matrix inversion updates for massive MIMO detection and precoding. IEEE Signal Processing Letters. 23 (1), 75-79

F. M. Rosário et al.,  "Fast matrix inversion updates for massive MIMO detection and precoding", in IEEE Signal Processing Letters, vol. 23, no. 1, pp. 75-79, 2016

@article{rosário2016_1713411614877,
	author = "Rosário, F. and Monteiro, F. A. and Rodrigues, A.",
	title = "Fast matrix inversion updates for massive MIMO detection and precoding",
	journal = "IEEE Signal Processing Letters",
	year = "2016",
	volume = "23",
	number = "1",
	doi = "10.1109/LSP.2015.2500682",
	pages = "75-79",
	url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7328699"
}

TY  - JOUR
TI  - Fast matrix inversion updates for massive MIMO detection and precoding
T2  - IEEE Signal Processing Letters
VL  - 23
IS  - 1
AU  - Rosário, F.
AU  - Monteiro, F. A.
AU  - Rodrigues, A.
PY  - 2016
SP  - 75-79
SN  - 1070-9908
DO  - 10.1109/LSP.2015.2500682
UR  - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7328699
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  -