Iterative Antenna Selection for Secrecy Enhancement in Massive MIMO Wiretap Channels (Invited Paper)

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionInvitedpeer-review

Contributors

  • Ali Bereyhi - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • Saba Asaad - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • Rafael F. Schaefer - , Technical University of Berlin (Author)
  • Ralf R. Mtiller - , Friedrich-Alexander University Erlangen-Nürnberg (Author)

Abstract

The growth of interest in massive MIMO systems is accompanied with hardware cost and computational complexity. Antenna selection is an efficient approach to overcome this cost-plus-complexity issue which also enhances the secrecy performance in wiretap settings. Optimal antenna selection requires exhaustive search which is computationally infeasible for settings with large dimensions. This paper develops an iterative algorithm for antenna selection in massive multiuser MIMO wiretap settings. The algorithm takes a stepwise approach to find a suitable subset of transmit antennas. Numerical investigations depict a significant enhancement in the secrecy performance.

Details

Original languageEnglish
Title of host publication2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (print)978-1-5386-3512-4
Publication statusPublished - 24 Aug 2018
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesIEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
ISSN1948-3244

Conference

Title19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Duration25 - 28 June 2018
CityKalamata
CountryGreece

External IDs

ORCID /0000-0002-1702-9075/work/165878315

Keywords

Keywords

  • Massive MIMO wiretap channel, stepwise regression, transmit antenna selection