  Statistically independent or positively correlated fading models are usually
applied to compute the average performance of wireless communications. However,
there exist scenarios with negative dependency and it is therefore of interest
how different performance metrics behave for different general dependency
structures of the channels. Especially best-case and worst-case bounds are
practically relevant as a system design guideline. In this two-part letter, we
present methods and tools from dependency modeling which can be applied to
analyze and design multi-user communications systems exploiting and creating
dependencies of the effective fading channels. The first part focuses on fast
fading with average performance metrics, while the second part considers slow
fading with outage performance metrics.
