Average Symbol Error Probability in the Presence of Network Interference and Noise
In this paper, the authors introduce a new framework to compute the Average Symbol Error Probability (ASEP) of an intended wireless communication system subject to network interference and noise. The interfering nodes are assumed to be randomly distributed in the 2D Euclidean plane according to a homogeneous Poisson point process. Their framework is applicable to performance prediction and optimization of, e.g., emerging heterogeneous cellular and cognitive radio networks. More specifically, they move from and generalize the semi - analytical framework recently introduced by Pinto and Win, and develop a new mathematical model which offers a simple single - integral expression of the ASEP under very general channel and interference conditions.