F. Rusek, D. Persson, E. G. Buon-kiong-lau-;-larsson, T. L. Marzetta, O. Edfors et al., Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays, IEEE Signal Processing Magazine, pp.40-60, 2013.
DOI : 10.1109/MSP.2011.2178495

E. G. Larsson, O. Edfors, F. Tufvesson, and T. L. Marzetta, Massive MIMO for next generation wireless systems, IEEE Communications Magazine, pp.186-195, 2014.
DOI : 10.1109/MCOM.2014.6736761
URL : http://arxiv.org/pdf/1304.6690

J. Hoydis, S. Ten-brink, and M. Debbah, Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?, IEEE Journal on Selected Areas in Communications, vol.31, issue.2, pp.160-171, 2013.
DOI : 10.1109/JSAC.2013.130205
URL : https://hal.archives-ouvertes.fr/hal-00925966

X. Gao, O. Edfors, F. Rusek, and F. Tufvesson, Linear pre-codingperformance in measured very-large MIMO channels, Proc. IEEE Veh. Technology Conference (VTC Fall), 2011.
DOI : 10.1109/vetecf.2011.6093291

A. Burg, S. Haene, D. Perels, P. Luethi, N. Felber et al., Algorithm and VLSI architecture for linear MMSE detection in MIMO-OFDM systems, 2006 IEEE International Symposium on Circuits and Systems, 2006.
DOI : 10.1109/ISCAS.2006.1693531

D. Wu, J. Eilert, D. Liu, N. Al-dhahir, and H. Minn, Dandan Wang, Fast Complex Valued Matrix Inversion for Multi-User STBC-MIMO Decoding Proc. IEEE Computer Society Annual Symposium on VLSI (ISVLSI '07), 2007.

G. Stewart, Matrix Algorithms: Basic decompositions, 1998.
DOI : 10.1137/1.9781611971408

M. Wu, . Bei-yin, A. Vosoughi, C. Studer, J. R. Cavallaro et al., Approximate matrix inversion for high-throughput data detection in the large-scale MIMO uplink, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013.
DOI : 10.1109/ISCAS.2013.6572301

H. Prabhu, O. Edfors, J. Rodrigues, and F. Liang-liu-;-rusek, Hardware ecient approximative matrix inversion for linear pre-coding in massive MIMO, Proc

T. L. Marzetta, Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas, IEEE Transactions on Wireless Communications, pp.3590-3600, 2010.
DOI : 10.1109/TWC.2010.092810.091092

C. B. Peel, B. M. Hochwald, and A. L. Swindlehurst, A Vector-Perturbation Technique for Near-Capacity Multiantenna Multiuser Communication???Part I: Channel Inversion and Regularization, IEEE Transactions on Communications, pp.195-202, 2005.
DOI : 10.1109/TCOMM.2004.840638
URL : http://www.ece.utexas.edu/~rheath/courses/mimo/suggested_readings/ref/27-7.pdf

T. Yoo and A. Goldsmith, On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming, IEEE Journal on Selected Areas in Communications, pp.528-541, 2006.

A. H. Mehana and A. Nosratinia, Diversity of MIMO Linear Precoding, IEEE Transactions on Information Theory, pp.1019-1038, 2014.
DOI : 10.1109/TIT.2013.2289860

E. Biglieri, J. Proakis, and S. Shamai, Fading channels: information-theoretic and communications aspects, IEEE Transactions on Information Theory, vol.44, issue.6, pp.2619-2692, 1998.
DOI : 10.1109/18.720551

A. Scaglione, P. Stoica, S. Barbarossa, G. Giannakis, and H. Sampath, Optimal designs for space-time linear precoders and decoders, IEEE Transactions on Signal Processing, vol.50, issue.5, pp.1051-1064, 2002.
DOI : 10.1109/78.995062

S. Jayaweera and H. Poor, Capacity of multiple-antenna systems with both receiver and transmitter channel state information, IEEE Transactions on Information Theory, vol.49, issue.10, pp.2697-2709, 2003.
DOI : 10.1109/TIT.2003.817479

M. Joham, W. Utschick, and J. Nossek, Linear transmit processing in MIMO communications systems, IEEE Transactions on Signal Processing, vol.53, issue.8, pp.2700-2712, 2005.
DOI : 10.1109/TSP.2005.850331

S. M. Abbas and C. Tsui, Low-latency approximate matrix inversion for high-throughput linear pre-coders in massive MIMO, 2016 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), pp.1-5
DOI : 10.1109/VLSI-SoC.2016.7753561