Mobility, Path Loss, and Composite Fading: Performance of a Conventional and of a Non-Conventional System With a Robust Autoencoder

The aim of this correspondence is two-fold: (i) to assess the performance of a conventional wireless system jointly subject to short-term fading (
$\bm {\alpha }$
-
$\bm {\mu }$
model), long-term fading (Gamma model), path loss (power-law decay), and mobility (random waypoint model) through analytical formulations; and (ii) to assess the performance of a non-conventional wireless system subject to the same conditions as before but with the transmission-medium-receiving chain replaced by an autoencoder using deep neural networks. The paper derives novel closed-form expressions for the probability density function, cumulative distribution function, and moment-generating function of the received signal. The performance analysis under investigation concerns outage probability, symbol error probability, asymptotic analyses, and channel capacity, all in closed-form formulations. In addition to showing that mobility has a beneficial effect on the overall mean performance, this work also illustrates that the said unconventional system may achieve as good a performance of the conventional one.