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This work studies the signal-to-interference-plus-noise-ratio (SINR) metadistribution for the uplink transmission of a Poisson network with Rayleighfading by using the dominant interferer-based approximation. The proposedapproach relies on computing the mix of exact and mean-field analysis ofinterference. In particular, it requires the distance distribution of thenearest interferer and the conditional average of the rest of the interference.Using the widely studied fractional path-loss inversion power control andmodeling the spatial locations of base stations (BSs) by a Poisson pointprocess (PPP), we obtain the meta distribution based on the proposed method andcompare it with the traditional beta approximation, as well as the exactresults obtained via Monte-Carlo simulations. Our numerical results validatethat the proposed method shows good matching and is time competitive.

A Dominant Interferer-based Approximation for Uplink SINR Meta Distribution in Cellular Networks