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 (<inline-formula><tex-math notation="LaTeX">\bm {\alpha }</tex-math></inline-formula>-<inline-formula><tex-math...

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Published inIEEE transactions on vehicular technology Vol. 72; no. 12; pp. 1 - 6
Main Authors Pereira, Pedro M. R., Bairros, Thiago A. M. de, Souza, Rausley A. A. de, Yacoub, Michel D.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:The aim of this correspondence is two-fold: (i) to assess the performance of a conventional wireless system jointly subject to short-term fading (<inline-formula><tex-math notation="LaTeX">\bm {\alpha }</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">\bm {\mu }</tex-math></inline-formula> 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.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3294756