Secrecy Sum-Rates for Multi-User MIMO Regularized Channel Inversion Precoding

In this paper, we propose a linear precoder for the downlink of a multi-user MIMO system with multiple users that potentially act as eavesdroppers. The proposed precoder is based on regularized channel inversion (RCI) with a regularization parameter α and power allocation vector chosen in such a way...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 60; no. 11; pp. 3472 - 3482
Main Authors:	Geraci, G., Egan, M., Jinhong Yuan, Razi, A., Collings, I. B.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.11.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Allocations Applied sciences Channels Coding, codes Exact sciences and technology Information, signal and communications theory Interference Inversions Mathematical analysis MIMO MIMO systems multi-user communications Optimization Optimized production technology physical layer security precoding Radiocommunications Regularization Resource management Secrecy rate Secret Signal and communications theory Signal to noise ratio Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Transmitters. Receivers Vectors Vectors (mathematics) Performance evaluation MIMO system Multiple access Secrecy rate Coding circuit Worst case method multi-user communications Transmitter Downlink precoding Algorithm Power allocation Channel coding Optimization MIMO systems Transmitting antenna Pretreatment Safety physical layer security System analysis Secrecy Signal to noise ratio Large scale system
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
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