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Enhancing MIMO Covert Communications via Intelligent Reflecting Surface
- Source :
- IEEE Wireless Communications Letters. 11:33-37
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- This letter investigates the multi-input multi-output (MIMO) covert communication aided by intelligent reflecting surface (IRS) against a multi-antenna warden. We establish a design framework for IRS-assisted MIMO covert communication system, which aims to maximize covert rate by jointly optimizing the transmit covariance matrix at transmitter and phase shift matrix at IRS. Due to the unit modulus constraint of and the highly coupling of and , we propose an alternating optimization algorithm to solve it. Specifically, the sub-problem of optimizing for given is convex, and we can derive a closed-form solution. Then, we propose a minorization-maximization algorithm to tackle the sub-problem of optimizing for fixed , where we translate the problem to the maximization of a proper lower bound of the objective function which is then solved by the sequential rank-one constraint relaxation algorithm. Simulation results demonstrate the effectiveness and superiority of the proposed algorithm in terms of boosting covert rate under the surveillance of a multi-antenna warden.
- Subjects :
- Mathematical optimization
Boosting (machine learning)
Covariance matrix
Computer science
Transmitter
MIMO
Data_CODINGANDINFORMATIONTHEORY
Maximization
Upper and lower bounds
Constraint (information theory)
Control and Systems Engineering
Covert
Computer Science::Multimedia
Electrical and Electronic Engineering
Subjects
Details
- ISSN :
- 21622345 and 21622337
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- IEEE Wireless Communications Letters
- Accession number :
- edsair.doi...........dd30d7de77942cdb92c203adba9aa20f