NDLI: Utility of beamforming strategies for secrecy in multiuser MIMO wiretap channels

Content Provider	IEEE Xplore Digital Library
Author	Mukherjee, A. Swindlehurst, A.L.
Copyright Year	2009
Description	Author affiliation: Electrical Engineering and Computer Science, University of California, Irvine, CA 92697-2625 (Mukherjee, A.; Swindlehurst, A.L.)
Abstract	This paper examines linear beamforming methods for secure communications in a multiuser wiretap channel with a single transmitter, multiple legitimate receivers, and a single eavesdropper, where all nodes are equipped with multiple antennas. No information regarding the eavesdropper is presumed at the transmitter, and we examine both the broadcast MIMO downlink with independent information, and the multicast MIMO downlink with common information for all legitimate receivers. In both cases the information signal is transmitted with just enough power to guarantee a certain SINR at the desired receivers, while the remainder of the power is used to broadcast artificial noise. The artificial interference selectively degrades the passive eavesdropper's signal while remaining orthogonal to the desired receivers. We analyze the confidentiality provided by zero-forcing and optimal minimum-power beamforming designs for the broadcast channel, and optimal minimum-MSE beamformers for the multicast channel. Numerical simulations for the relative SINR and BER performance of the eavesdropper demonstrate the effectiveness of the proposed physical-layer security schemes.
Starting Page	1134
Ending Page	1141
File Size	198159
Page Count	8
File Format	PDF
ISBN	9781424458707
e-ISBN	9781424458714
DOI	10.1109/ALLERTON.2009.5394865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Degradation Array signal processing Transmitters Receiving antennas Interference Broadcasting Downlink Numerical simulation MIMO Signal to noise ratio
Content Type	Text
Resource Type	Article

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