Performance Modeling for Smart Grid Networks Over Impulsive Bandpass AWS alpha SN Channels Conference Paper uri icon

abstract

  • 2016 IEEE. The impulsive noise effect is one of the most dominant factors to cause performance degradation for power-line communication (PLC) links. Most reported literatures characterize such an impulsive noise based on the Bernoulli-Gaussian or Middleton's approach. However those models may not truly depict the noise characteristics of the impulses with stable property. The symmetric alpha-stable (SS) noise model stems from the generalized central limit theorem (GCLT), which describes practical PLC impulsive noise well. By modeling the bandpass asynchronous impulsive noise as additive white symmetric alpha- stable noise (AWSSN), we investigate the analytical symbol error rate (SER) performance of a PLC narrowband system link in smart grid networks. Based on the zero-order statistics, we evaluate the strength of the SS noise using geometric signal-to-noise ratio (GSNR), and explore the uncoded error performance for the conventional linear receiver. Through extensive experiments and numerical analyses, we show that the analytical SER performance of a PLC link matches the simulation results well, which provides suitable benchmarks and guidance for designation of coded systems.

name of conference

  • 2016 IEEE Global Communications Conference (GLOBECOM)

published proceedings

  • 2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

author list (cited authors)

  • Yang, F., & Zhang, X. i.

citation count

  • 2

complete list of authors

  • Yang, Fan||Zhang, Xi

publication date

  • December 2016