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

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandEingeladenBegutachtung

Beitragende

  • Ali Bereyhi - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Saba Asaad - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Rafael F. Schaefer - , Technische Universität Berlin (Autor:in)
  • Ralf R. Mtiller - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)

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

OriginalspracheEnglisch
Titel2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)978-1-5386-3512-4
PublikationsstatusVeröffentlicht - 24 Aug. 2018
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

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

Konferenz

Titel19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Dauer25 - 28 Juni 2018
StadtKalamata
LandGriechenland

Externe IDs

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

Schlagworte

Schlagwörter

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