Application of the Mixture of Lognormal Distribution to Represent the First-Order Statistics of Wireless Channels

Saikat Das; A. Bhattacharya

DOI:10.1109/JSYST.2020.2968409

Corpus ID: 213729677

Application of the Mixture of Lognormal Distribution to Represent the First-Order Statistics of Wireless Channels

@article{Das2020ApplicationOT,
  title={Application of the Mixture of Lognormal Distribution to Represent the First-Order Statistics of Wireless Channels},
  author={Saikat Das and A. Bhattacharya},
  journal={IEEE Systems Journal},
  year={2020},
  volume={14},
  pages={4394-4401}
}

Saikat Das, A. Bhattacharya

Published 2020

Computer Science

IEEE Systems Journal

In a wireless channel, shadow fading along with multipath effect causes random fluctuations of the received signal strength at the receiver. Several composite fading distributions are available for modeling the randomness. Among them, Lognormal-based models are unable to give a closed-form expression of the composite distribution, but Gamma-based model overcomes the problem faced by the former one. However, the Gamma-based model comes with a complicated mathematical function. To get rid of that… CONTINUE READING

View on IEEE