Robust beamforming techniques for MISO secrecy communication with a cooperative jammer

Zheng Chu, Martin Johnston, Stephane Le Goff

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

This paper investigates robust beamforming techniques for a multiple-input-single-output (MISO) secrecy transmission with a cooperative jammer by incorporating two different types of channel uncertainties. We solve the worst-case signal-tointerference-plus-noise ratio (SINR) maximization of the legitimate user with the worst-case SINR constraint of the eavesdropper and the transmit power constraint. The original problems are not convex in terms of transmit covariance matrices, and cannot be solved directly. Thus, we present two approaches to convert these problems into semidefinite programmings (SDPs) by exploiting S-Procedure and deriving the corresponding Lagrangian dual problem. Numerical results are provided to validate the performance of the proposed robust schemes.

Original languageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980888
DOIs
Publication statusPublished - 1 Jul 2015
Externally publishedYes
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 11 May 201514 May 2015

Publication series

NameIEEE Vehicular Technology Conference
Volume2015
ISSN (Print)1550-2252

Conference

Conference81st IEEE Vehicular Technology Conference, VTC Spring 2015
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/05/1514/05/15

Keywords

  • Convex optimization
  • MISO system
  • Physical-layer secrecy
  • Robust beamforming

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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