Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization

Consider an MISO channel overheard by multiple eavesdroppers. Our goal is to design an artificial noise (AN)-aided transmit strategy, such that the achievable secrecy rate is maximized subject to the sum power constraint. AN-aided secure transmission has recently been found to be a promising approac...

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Vydané v:IEEE transactions on signal processing Ročník 61; číslo 10; s. 2704 - 2717
Hlavní autori: Li, Qiang, Ma, Wing-Kin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.05.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Applied sciences
Array signal processing
Artificial noise
Channels
Covariance
Design engineering
Detection, estimation, filtering, equalization, prediction
Eavesdropping
Exact sciences and technology
Information, signal and communications theory
Interference
Maximization
Networks
Noise
Optimization
physical-layer security
Receivers
Robustness
semidefinite program
Signal and communications theory
Signal, noise
Studies
Telecommunications and information theory
transmit beamforming
Vectors
Parameter estimation
Outage
Worst case method
Multirate system
Jamming
Flexibility
Convex programming
Artificial noise
physical-layer security
Beam forming
Optimization
Optimal design
Eavesdropping
Covariance
Simulation
transmit beamforming
Channel estimation
Signal processing
semidefinite program
Secrecy
Antenna array
Telecommunication security
ISSN:1053-587X, 1941-0476
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Popis
Shrnutí:Consider an MISO channel overheard by multiple eavesdroppers. Our goal is to design an artificial noise (AN)-aided transmit strategy, such that the achievable secrecy rate is maximized subject to the sum power constraint. AN-aided secure transmission has recently been found to be a promising approach for blocking eavesdropping attempts. In many existing studies, the confidential information transmit covariance and the AN covariance are not simultaneously optimized. In particular, for design convenience, it is common to prefix the AN covariance as a specific kind of spatially isotropic covariance. This paper considers joint optimization of the transmit and AN covariances for secrecy rate maximization (SRM), with a design flexibility that the AN can take any spatial pattern. Hence, the proposed design has potential in jamming the eavesdroppers more effectively, based upon the channel state information (CSI). We derive an optimization approach to the SRM problem through both analysis and convex conic optimization machinery. We show that the SRM problem can be recast as a single-variable optimization problem, and that resultant problem can be efficiently handled by solving a sequence of semidefinite programs. Our framework deals with a general setup of multiple multi-antenna eavesdroppers, and can cater for additional constraints arising from specific application scenarios, such as interference temperature constraints in interference networks. We also generalize the framework to an imperfect CSI case where a worst-case robust SRM formulation is considered. A suboptimal but safe solution to the outage-constrained robust SRM design is also investigated. Simulation results show that the proposed AN-aided SRM design yields significant secrecy rate gains over an optimal no-AN design and the isotropic AN design, especially when there are more eavesdroppers.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2013.2253771