Boosting Predictions by Calibration of Traffic Model and Learning of Indicators' Distributions


In this paper, we discuss a two-step scheme using measurements that are taken on a real network. The two steps are complementary and aim to enhance the precision and the quality of a radio network planning tool. We have, in a first step, calibrated the tool by means of live traffic data and/or measurements that are taken on the air interface of a real… (More)
DOI: 10.1109/TVT.2007.912151


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