Rare-Event Simulation Methods for Outage Probability in GSC/MRC Systems under Rician Fading
This talk explores enhanced Monte Carlo (MC) techniques for estimating the OP of SIMO systems under Rician fading, where the selected signals are combined using maximum ratio combining (GSC/MRC).
Overview
In a single-input-multiple-output (SIMO) system, generalized selection combining (GSC) selects a smaller subset of antennas, usually with fixed size, and combines their signals. A key performance metric in such systems is outage probability (OP). The studied set of methods includes previously established methods: universal importance sampling (UIS) and multilevel splitting (MLS), alongside methods adapted to our setting: exponential twisting (ET) and cross-entropy (CE), and a novel method: partition importance sampling (PIS). Performance is assessed across standard efficiency metrics, revealing that ET, CE, and PIS exhibit the best performance. Across the tested parameter ranges, CE is found to be the most robust method overall.
