Artificial Intelligence for Dynamical Systems in Wireless Communications: Modeling for the Future
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Journal ArticleDate:
2021Access:
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Harun Siljak, Irene Macaluso, Nicola Marchetti, Artificial Intelligence for Dynamical Systems in Wireless Communications: Modeling for the Future, IEEE Systems, Man, and Cybernetics Magazine, 7, 4, 2021, 13 - 23Abstract:
Dynamical systems are no strangers in wireless
communications. Our story will necessarily involve chaos, but
not in the terms secure chaotic communications have introduced
it: we will look for the chaos, complexity and dynamics that
already exist in everyday wireless communications. We present a
short overview of dynamical systems and chaos before focusing
on the applications of dynamical systems theory to wireless
communications in the past 30 years, ranging from the modeling
on the physical layer to different kinds of self-similar traffic
encountered all the way up to the network layer. The examples
of past research and its implications are grouped and mapped
onto the media layers of ISO OSI model to show just how
ubiquitous dynamical systems theory can be and to trace the
paths that may be taken now. When considering the future
paths, we argue that the time has come for us to revive the
interest in dynamical systems for wireless communications. It
did not happen already because of the big question: can we
afford observing systems of our interest as dynamical systems
and what are the trade-offs? The answers to these questions are
dynamical systems of its own: they change not only with the
modeling context, but also with time. In the current moment the
available resources allow such approach and the current demands
ask for it. Reservoir computing, the major player in dynamical
systems-related learning originated in wireless communications,
and to wireless communications it should return.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/RC/2077_2
Science Foundation Ireland (SFI)
13/RC/2077
Author's Homepage:
http://people.tcd.ie/siljakhhttp://people.tcd.ie/marchetn
Description:
PUBLISHED
Author: Siljak, Harun; Marchetti, Nicola
Type of material:
Journal ArticleSeries/Report no:
IEEE Systems, Man, and Cybernetics Magazine7
4
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Full text availableSubject (TCD):
Telecommunications , DYNAMICAL-SYSTEMS , MACHINE LEARNING , Wireless Communication SystemsDOI:
http://dx.doi.org/10.1109/MSMC.2021.3097308ISSN:
2380-1298Metadata
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