Statistical Analysis of CP-Based Artificial Noise in Narrowband and Broadband PLC Systems

Gustavo M Campos, Mateus Filomeno, Andrea M Tonello, Moises Vidal Ribeiro

DOI: 10.14209/sbrt.2025.1571145548

Evento: XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2025)

Keywords: Artificial noise Physical layer security Power line communication Statistical analysis

Abstract

This paper presents a statistical analysis of artificial noise (AN) designed based on the degrees of freedom provided by the cyclic prefix to enhance physical-layer security in power line communication (PLC) systems. A comprehensive description of the AN design is provided, and the AN is modeled as a random vector while its analysis is based on the first- and second-order statistical moments. Numerical results in both narrowband and broadband PLC channels show that, despite being theoretically zero-mean, the expectation may deviate from zero in practice when the number of realizations is low. Moreover, the analysis reveals non-negligible cyclic correlation structures in the AN, which could potentially be exploited by an eavesdropper, thereby compromising the physical layer security of PLC systems.

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