Secrecy analysis of multi-cell massive MIMO systems with RCI precoding and artificial noise transmission
Zhu J, Schober R, Bhargava VK (2014)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2014
Event location: Athen
ISBN: 978-1-4799-2890-3
DOI: 10.1109/ISCCSP.2014.6877827
Abstract
In this paper, we study linear precoding for a secure multi-cell massive multiple-input multiple-output (MIMO) downlink system employing artificial noise generation. We consider the large system limit where the number of base station antennas, the number of mobile users, and the number of eavesdropper antennas are all growing without bound but with fixed ratio. The proposed precoder is based on regularized channel inversion (RCI) with regularization parameter κ. The optimal κ is derived such that the ergodic secrecy rate is maximized in the case of imperfect channel state information at the transmitter due to pilot contamination. Our analytical results show that the proposed RCI precoder outperforms other linear precoders.
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APA:
Zhu, J., Schober, R., & Bhargava, V.K. (2014). Secrecy analysis of multi-cell massive MIMO systems with RCI precoding and artificial noise transmission. In IEEE (Eds.), Proceedings of the 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP). Athen, GR.
MLA:
Zhu, Jun, Robert Schober, and Vijay K. Bhargava. "Secrecy analysis of multi-cell massive MIMO systems with RCI precoding and artificial noise transmission." Proceedings of the 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), Athen Ed. IEEE, 2014.
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