Title | ||
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Capacity Analysis of a Narrowband Powerline Communication Channel Under Impulsive Noise |
Abstract | ||
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We study the channel capacity of a narrowband powerline communication (NBPLC) - operating in the range of 3 - 500 kHz - channel in the presence of a simplified additive white class A impulsive noise (SAWCN). According to this model, the receiver noise in the NBPLC can be modeled as a two-term Gaussian mixture distribution, consisting of the background noise component and an impulsive component. First, we consider the practically relevant case in which the transmit power is much less than the variance of the impulsive component, where a tight approximation to the entropy of the SAWCN is calculated to derive tight lower and upper bounds on the channel capacity. Next, we consider the case where the transmit power is higher and derive tighter lower and upper bounds. Our numerical results indicate a small gap between the derived bounds, which emphasize their potential applications in serving as meaningful estimates on the achievable rate of NBPLC in the presence of impulsive noise. These bounds are closely achievable when the input signal is Gaussian. |
Year | DOI | Venue |
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2019 | 10.1109/COMSNETS.2019.8711130 | 2019 11th International Conference on Communication Systems & Networks (COMSNETS) |
Keywords | Field | DocType |
two-term Gaussian mixture distribution,background noise component,impulsive component,transmit power,tight lower bounds,upper bounds,NBPLC,receiver noise,simplified additive white class A impulsive noise,tight approximation,narrowband powerline communication channel capacity analysis,SAWCN entropy,frequency 3.0 kHz to 500.0 kHz | Narrowband,Computer science,Computer network,Communication channel,Electronic engineering | Conference |
ISSN | ISBN | Citations |
2155-2487 | 978-1-5386-7903-6 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Roopesh R | 1 | 0 | 0.34 |
B. S. Sushma | 2 | 0 | 0.34 |
Sanjeev Gurugopinath | 3 | 4 | 3.79 |
Rangarao Muralishankar | 4 | 26 | 8.13 |