TITLE:
A Fuzzy-Logic Based Path Loss Model at 3.4 GHz for LTE Networks
AUTHORS:
Stephen Ojo, Taiwo P. Ojo, Victor Ojong Etta
KEYWORDS:
Signal Loss, Fuzzy-Logic, Machine Learning, Signal Propagation, Accuracy, Empirical, Deterministic
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.12 No.7,
July
22,
2022
ABSTRACT: Empirical and deterministic models have not proven
to be effective in path loss predictions because of the problems of
computational complexities, low accuracies, and inability to generalize. To solve
these problems relating to path loss predictions, this article presents an
optimal path loss propagation model developed at 3.4 GHz with the use of fuzzy
logic. We introduced Fuzzy logic to accurately represent all forms of
uncertainties in the data spectrum as the signal propagates from the transceiver to the
receiver, thereby producing accurate results. Experimental data were collected
across Cyprus at 3.4 GHz and compared with three existing path loss models. The
fuzzy-logic path loss prediction model was then developed and compared with the
experimental data and with each of the theoretical empirical models, the newly
developed model predicted signal loss with
the greatest accuracy as it gives the lowest root-mean-square error. The newly developed model is very
efficient for signal propagation and path loss prediction.