Secrecy Enhancement for Media-Based Modulation via Probabilistic Optimization

Media-based modulation (MBM) is a novel modulation scheme, which embeds information in different channel fading realizations created by changing the status of radio frequency mirrors. In this letter, we propose a new secrecy enhancement scheme based on probabilistic shaping for MBM systems. The secr...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE communications letters 2019-07, Vol.23 (7), p.1149-1152
Hauptverfasser:	Zhang, Limin, Zhao, Minjian
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Gradient methods Iterative algorithms Media-based modulation Mirrors Modulation Mutual information Optimization physical layer security Probabilistic logic probabilistic shaping Simulation Statistical analysis
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Media-based modulation (MBM) is a novel modulation scheme, which embeds information in different channel fading realizations created by changing the status of radio frequency mirrors. In this letter, we propose a new secrecy enhancement scheme based on probabilistic shaping for MBM systems. The secrecy rate with an arbitrary probability mass function (PMF) of the input MBM symbols is analyzed and an iterative algorithm utilizing the gradient method with backtracking line search is proposed to find the optimal PMF. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.
ISSN:	1089-7798 1558-2558
DOI:	10.1109/LCOMM.2018.2890242