A simplified hard output sphere decoder for large MIMO systems with the use of efficient search center and reduced domain neighborhood study

Author:

Nasser Youssef,Aubert Sebastien,Nouvel Fabienne,Kabalan Karim Y.,Artail Hassan A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Reference42 articles.

1. S Aubert, Y Nasser, F Nouvel, Lattice reduction-aided minimum mean square error k-best detection for MIMO systems, in Proc. of the International Conference Computing, Networking and Communications (ICNC), 2012, pp. 1066–1070

2. F Rusek, D Persson, BK Lau, EG Larsson, TL Marzetta, O Edfors, F Tufvesson, Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Processing Magazine 30(1), 40–46 (2013)

3. EG Larsson, F Tufvesson, O Edfors, TL Marzetta, Massive MIMO for next generation wireless systems. IEEE Commun. Mag. 52(2), 186–195 (2014)

4. Y Kong, Q Zhou, X Ma, Lattice reduction aided transceiver design for multiuser MIMO downlink transmissions, in Proc. of the IEEE Military Communications Conference (MILCOM), 2014, pp. 556–562

5. KA Singhal, T Datta, A Chockalingam, Lattice reduction aided detection in large-MIMO systems, in Proc. of the IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, pp. 594–598

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