The Rao-Blackwellized Hybrid Estimator combines exact sampling of K dominant interferers with analytical marginalization of the Poisson tail to produce an unbiased coverage estimator whose bias decays as O(K^{1-η/2}) and delivers up to 90x variance reduction.
The meta distribution of the SINR and rate in heterogeneous cellular networks,
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Rao-Blackwellized Coverage Estimation in Poisson Networks: A High-Fidelity Hybrid Framework
The Rao-Blackwellized Hybrid Estimator combines exact sampling of K dominant interferers with analytical marginalization of the Poisson tail to produce an unbiased coverage estimator whose bias decays as O(K^{1-η/2}) and delivers up to 90x variance reduction.