A Minorization-Maximization Algorithm for Maximizing the Secrecy Rate of the MIMOME Wiretap Channel

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

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

We consider physical layer security in a multi-input multi-output multi-eavesdropper wiretap channel and present an exact solution to the problem of secrecy rate maximization. A system model with multiple multi-antenna eavesdroppers and multiple multi-antenna full-duplex receivers is considered, which is general enough such that models existing in the literature may be considered as special cases. 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 receivers. The resulting optimization problem is non-convex and difficult to solve. We develop a minorization-maximization algorithm to solve the problem exactly and the results can therefore be used to benchmark existing methods. Numerical results are presented to demonstrate the efficacy of the proposed approach.

Original languageEnglish
Article number7776840
Pages (from-to)520-523
Number of pages4
JournalIEEE Communications Letters
Volume21
Issue number3
DOIs
Publication statusPublished - 1 Mar 2017

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Keywords

  • MIMOME
  • minorization-maximization
  • physical layer security
  • secrecy rate maximization

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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