NDLI: Secrecy rate maximization of a miso channelwith multiple multi-antenna eavesdroppers via semidefinite programming

Content Provider	IEEE Xplore Digital Library
Author	Qiang Li Wing-Kin Ma
Copyright Year	2010
Description	Author affiliation: Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong (Qiang Li; Wing-Kin Ma)
Abstract	The advances of multi-antenna techniques has recently led to renewed interest in physical-layer secrecy, a meaningful topic that enables us to prevent eavesdroppers from retrieving information intended for a legitimate user through physical layer designs. This paper address a secrecy-rate maximization problem for the scenario of a multi-input single-output channel listened by multiple multi-antenna eavesdroppers; e.g., in downlink. This problem is nonconvex and has no analytical solution. Through a careful analysis and reformulation, we show that the secrecy-rate maximization problem has a convex equivalent in form of a semidefinite program (SDP).We also prove that the respective optimal transmit covariance generally can yield a rank-one structure, implying that transmit beamforming is secrecy-rate optimal in the considered scenario. Simulation results are also provided to illustrate that the optimal transmit design solved by our SDP approach can yield significantly improved secrecy rates than an existing closed-form design.
Starting Page	3042
Ending Page	3045
File Size	192697
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5496122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Cryptography Information retrieval Array signal processing Transmitters Transmitting antennas Design engineering Physical layer Downlink Reliability theory semidefinite program (SDP) secrecy capacity convex optimization
Content Type	Text
Resource Type	Article

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