Optimal number of transmit antennas for secrecy enhancement in massive MIMOME channels

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

Beitragende

  • Saba Asaad - , University of Tehran, Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Ali Bereyhi - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Ralf R. Mueller - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Rafael F. Schaefer - , Technische Universität Berlin (Autor:in)
  • Amir M. Rabiei - , University of Tehran (Autor:in)

Abstract

This paper studies the impact of transmit antenna selection on the secrecy performance of massive MIMO wiretap channels. We consider a scenario in which a multi-Antenna transmitter selects a subset of transmit antennas with the strongest channel gains. Confidential messages are then transmitted to a multi-Antenna legitimate receiver while the channel is being overheard by a multi-Antenna eavesdropper. For this setup, we approximate the distribution of the instantaneous secrecy rate in the large-system limit. The approximation enables us to investigate the optimal number of selected antennas which maximizes the asymptotic secrecy throughput of the system. We show that increasing the number of selected antennas enhances the secrecy performance of the system up to some optimal value, and that further growth in the number of selected antennas has a destructive effect. Using the large-system approximation, we obtain the optimal number of selected antennas analytically for various scenarios. Our numerical investigations show an accurate match between simulations and the analytic results even for not so large dimensions.

Details

OriginalspracheEnglisch
TitelGLOBECOM 2017 - 2017 IEEE Global Communications Conference
Seiten1-6
Seitenumfang6
ISBN (elektronisch)978-1-5090-5019-2
PublikationsstatusVeröffentlicht - 1 Juli 2017
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheIEEE Conference on Global Communications (GLOBECOM)
ISSN1930-529X

Konferenz

Titel2017 IEEE Global Communications Conference, GLOBECOM 2017
Dauer4 - 8 Dezember 2017
StadtSingapore
LandSingapur

Externe IDs

ORCID /0000-0002-1702-9075/work/165878310