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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Summary: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 that the achievable secrecy sum-rate is maximized. We consider the worst-case scenario for the multi-user MIMO system, where the transmitter assumes users cooperate to eavesdrop on other users. We derive the achievable secrecy sum-rate and obtain the closed-form expression for the optimal regularization parameter α LS of the precoder using large-system analysis. We show that the RCI precoder with α LS outperforms several other linear precoding schemes, and it achieves a secrecy sum-rate that has same scaling factor as the sum-rate achieved by the optimum RCI precoder without secrecy requirements. We propose a power allocation algorithm to maximize the secrecy sum-rate for fixed α. We then extend our algorithm to maximize the secrecy sum-rate by jointly optimizing α and the power allocation vector. The jointly optimized precoder outperforms RCI with α LS and equal power allocation by up to 20 percent at practical values of the signal-to-noise ratio and for 4 users and 4 transmit antennas.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2012.072612.110686