Abstract
It is mainly deals with models of wireless communication channels, and in particular with the difficulty of finding an exact model which is both mathematically easy to deal with and physically accurate. It is argued that a certain amount of uncertainty necessarily following the use of inaccurate channel models should be accepted, and suitable tools used to evaluate its effects on analysis and design. With our approach, lower and upper bounds on required performance parameters are derived under no assumption of exact knowledge of the underlying probability distributions, and model uncertainty effects are propagated throughout calculations. Sepcial attention is given to the derivation of upper and lower bounds on system performance when this is determined by random variables whose dependence is not exactly known.
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