A minorization-maximization algorithm for an-based mimome secrecy rate maximization

Mudassir Masood; Ali Ghrayeb; Prabhu Babu; Issa Khalil; Mazen Hasna

doi:10.1109/GlobalSIP.2016.7905987

A minorization-maximization algorithm for an-based mimome secrecy rate maximization

Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen Hasna

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We consider the problem of secrecy rate maximization in a multi-input multi-output multi-eavesdropper (MIMOME) wiretap channel and present an exact solution. A general system model with a multi-antenna eavesdropper and a multi-antenna full-duplex receiver is considered. In particular, we perform joint beamforming and artificial noise optimization in an effort to maximize the achievable secrecy rate. The optimization is performed in the presence of artificial noise generated by both transmitter and legitimate receiver. The resulting optimization problem is non-convex and difficult to solve. We develop a minorization-maximization algorithm to solve the problem. It is iterative in nature and guaranteed to converge to a locally optimal solution. The results can therefore be used to benchmark existing methods. Numerical results are presented to demonstrate the efficacy of the proposed approach.

Original language	English
Title of host publication	2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	975-980
Number of pages	6
ISBN (Electronic)	9781509045457
DOIs	https://doi.org/10.1109/GlobalSIP.2016.7905987
State	Published - 19 Apr 2017

Publication series

Name	2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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10.1109/GlobalSIP.2016.7905987

Cite this

Masood, M., Ghrayeb, A., Babu, P., Khalil, I., & Hasna, M. (2017). A minorization-maximization algorithm for an-based mimome secrecy rate maximization. In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings (pp. 975-980). Article 7905987 (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2016.7905987

Masood, Mudassir ; Ghrayeb, Ali ; Babu, Prabhu et al. / A minorization-maximization algorithm for an-based mimome secrecy rate maximization. 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 975-980 (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings).

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abstract = "We consider the problem of secrecy rate maximization in a multi-input multi-output multi-eavesdropper (MIMOME) wiretap channel and present an exact solution. A general system model with a multi-antenna eavesdropper and a multi-antenna full-duplex receiver is considered. In particular, we perform joint beamforming and artificial noise optimization in an effort to maximize the achievable secrecy rate. The optimization is performed in the presence of artificial noise generated by both transmitter and legitimate receiver. The resulting optimization problem is non-convex and difficult to solve. We develop a minorization-maximization algorithm to solve the problem. It is iterative in nature and guaranteed to converge to a locally optimal solution. The results can therefore be used to benchmark existing methods. Numerical results are presented to demonstrate the efficacy of the proposed approach.",

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Masood, M, Ghrayeb, A, Babu, P, Khalil, I & Hasna, M 2017, A minorization-maximization algorithm for an-based mimome secrecy rate maximization. in 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings., 7905987, 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 975-980. https://doi.org/10.1109/GlobalSIP.2016.7905987

A minorization-maximization algorithm for an-based mimome secrecy rate maximization. / Masood, Mudassir; Ghrayeb, Ali; Babu, Prabhu et al.
2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 975-980 7905987 (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Masood M, Ghrayeb A, Babu P, Khalil I, Hasna M. A minorization-maximization algorithm for an-based mimome secrecy rate maximization. In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 975-980. 7905987. (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings). doi: 10.1109/GlobalSIP.2016.7905987

A minorization-maximization algorithm for an-based mimome secrecy rate maximization

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