The impact of fading and interference cancelation on node density - Outage probability tradeoff in wireless networks

Outage probability in wireless networks with random Poisson location of the nodes is studied, including the effects of a broad class of fading processes and of various types of interference cancellation. For all scenarios considered, the total (aggregate) interference power is shown to be dominated by that of the nearest interferer (at the low outage region), which is used as a major performance indicator, instead of a traditionally-used aggregate interference power. This simplifies the problem significantly so that explicit closed-form analysis of the outage probability becomes feasible and the effect of various system/network parameters becomes also explicit, including the impacts of complete/partial interference cancellation, of different types of fading and of linear filtering, either alone or in combination with each other. When a given number of strongest interferers are completely canceled, the outage probability scales down exponentially in this number. Three different models of partial cancelation are considered and compared via their outage probabilities, which are obtained in compact closed form. The partial cancelation level required to eliminate the impact of an interferer is quantified. The effect of a broad class of fading processes (including all popular fading models) is included in the analysis in a straightforward way, which can be positive or negative depending on a particular model and propagation/system parameters.