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In the analysis of large random wireless ad hoc networks, the underlying node distribution is almost ubiquitously assumed to be the homogeneous Poisson point process. Despite the nice analytical properties of such model, the spatial randomness has been, however, mainly exploited for connectivity and interference analysis, but has not yet been taken into account explicitly in the scaling laws evaluation. The authors move here a first step toward the evaluation of an upper bound on the aggregate throughput when the additional randomness due to the spatial node distribution is taken into account, together with the presence of power attenuation and random phase changes.
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