Analysis of a proportionally fair and locally adaptive Spatial Aloha in Poisson Networks
Analysis of a proportionally fair and locally adaptive Spatial Aloha in Poisson Networks
The proportionally fair sharing of the capacity of a Poisson network using Spatial-Aloha leads to closed-form performance expressions in two extreme cases: (1) the case without topology information, where the analysis boils down to a parametric optimization problem leveraging stochastic geometry; (2) the case with full network topology information, which …