Pulse Jamming in PLC Over Log-Normal Channel Gain With Bernoulli-Gaussian Additive Noise

Power line communications (PLC) are susceptible to interception due to their broadcast nature. In this letter, we study the impact of random pulse jamming attacks in PLC systems assuming $\mathcal {M}$ -ary phase shift keying ( $\mathcal {M}$ -PSK) over Log-normally distributed channel gain. The nature of PLC channel noise is described by the Bernoulli-Gaussian random process. Additionally, the state of the jammer is characterized by the Bernoulli random variable. Conditioned upon the jamming activity, we evaluate the probability density function (PDF) of the instantaneous signal-to-jamming-plus-noise ratio (SJNR) and the instantaneous signal-to-noise ratio (SNR). Capitalizing on the statistical characterization of the SJNR and SNR, we derive the series-based expressions of the average symbol error rate (ASER) and outage probability (OP) for the considered PLC system. Further, the asymptotic ASER analysis is performed in terms of the coding gain and diversity order in the high SNR regime. In order to gain more insights into ASER and OP analysis of the considered PLC system, we demonstrate the effect of the different system parameters through the numerical results.