  This paper presents an unusual view of interference wireless networks based
on complex system thinking. To proceed with this analysis, a literature review
of the different applications of complex systems is firstly presented to
illustrate how such an approach can be used in a wide range of research topics,
from economics to linguistics. Then the problem of quantifying the fundamental
limits of wireless systems where the co-channel interference is the main
limiting factor is described and hence contextualized in the perspective of
complex systems. Specifically some possible internal and external pressures
that the network elements may suffer are identified as, for example, queue
stability, maximum packet loss rate and transmit power constraint. Besides,
other important external factors such as mobility and incoming traffic are also
pointed out. As a study case, a decentralized point-to-point interference
network is described and several claims about the optimal design setting for
different network states and under two mobility conditions, namely quasi-static
and highly mobile, are stated based on results found in the literature. Using
these claims as a background, the design of a robust adaptive algorithm that
each network element should run is investigated.
