Gilbert-model Loss Trace Generator for Instrumentation of Subjective Assessment Campaigns

Abstract

This program allows the generation of several accurate (with respect to pre-defined target values) loss traces following a simplified Gilbert loss model (2-states, one with no losses, and one with loss probability = 1). For subjective testing, the challenge lies in getting the right stats within a few hundred packets, as test sequences are only ∼10s long. We take a brute-force approach, generating several samples per combination of loss-rate and mean loss burst size until enough sufficiently good traces are generated.

Publication
Date