2018
DOI: 10.1002/ett.3475
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Error performance of power line communications in the presence of Nakagami‐m background noise

Abstract: This paper studies the error performance of power line communication (PLC) systems, in the presence of background noise with Nakagami‐m distributed envelope and uniformly distributed phase. In this sense, we present closed‐form expressions for the symbol error rate (SER) of PLC systems using binary pulse amplitude modulation and generalize the analysis to accommodate the M‐ary pulse amplitude modulation. In addition, novel closed‐form expressions for the SER upper bound of rectangular quadrature amplitude modu… Show more

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“…For instance, the co‐channel interference plus additive noise in cellular networks having multitier heterogeneous architectures involving macrocells, microcells, femtocells, and cognitive radio channel follows GM distribution. In addition, beside the additive white Gaussian noise (AWGN), some communication systems, such as digital video broadcasting, power line communications (PLCs), underwater acoustics channels, and urban and indoor wireless channels, suffer from additional noise factor in the form of high energy short‐duration random bursts known as impulsive noise. Middleton class A and ε ‐mixture Gaussian, which includes Bernoulli‐Gaussian (BG) and Poisson‐Gaussian, are the two well‐known models developed for empirical modeling of the AWGN plus impulsive noises.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the co‐channel interference plus additive noise in cellular networks having multitier heterogeneous architectures involving macrocells, microcells, femtocells, and cognitive radio channel follows GM distribution. In addition, beside the additive white Gaussian noise (AWGN), some communication systems, such as digital video broadcasting, power line communications (PLCs), underwater acoustics channels, and urban and indoor wireless channels, suffer from additional noise factor in the form of high energy short‐duration random bursts known as impulsive noise. Middleton class A and ε ‐mixture Gaussian, which includes Bernoulli‐Gaussian (BG) and Poisson‐Gaussian, are the two well‐known models developed for empirical modeling of the AWGN plus impulsive noises.…”
Section: Introductionmentioning
confidence: 99%