Robust secure beamforming for cognitive satellite terrestrial networks at millimeter-wave frequency

Min Lin, Zhi Lin, Kun Wang, Wei Xu, Song Guo, Jian Ouyang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper, we present a robust beamforming (BF) scheme to improve the physical layer security (PLS) of a cognitive satellite terrestrial network (CSTN) at millimeter wave (mmWave) frequency. By employing the standard recommendations and the mmWave propagation model, a PLS framework is first defined for the CSTN in the presence of multiple eavesdroppers (Eves). A constrained optimization problem is then formulated to maximize the worst-case achievable secrecy rate of the cellular user subject to an allowable interference level for the satellite user. By expressing the imperfect Eve's channel state information (CSI) as a combination of many given angle-of-arrival (AOA) based discrete sets, we propose a method to transform the worst-case optimization problem into a min-max problem and then develop an iterative BF scheme to yield an analytical solution for the weight vectors. Finally, simulation results confirming the effectiveness and superiority of the proposed BF scheme are provided.

Original languageEnglish
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509059355
DOIs
Publication statusPublished - 8 Feb 2018
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: 24 Sep 201727 Sep 2017

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-September
ISSN (Print)1550-2252

Conference

Conference86th IEEE Vehicular Technology Conference, VTC Fall 2017
Country/TerritoryCanada
CityToronto
Period24/09/1727/09/17

ASJC Scopus subject areas

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

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