Lee microcell 850-1.PDF

One of the most popular models for macro-cellular path loss predictions is the Lee model. An extension of this model to the micro-cellular environment requires utilization of building database data. This paper proposes a simple and computationally efficient method for path loss prediction that is based on the Lee micro-cell model and that takes the effects of buildings into account. The performance of the proposed method is validated through extensive comparisons between measured data and model predictions. The comparisons show that, when properly optimized, the proposed approach can achieve an accuracy characterized with standard deviation of the prediction error that is around 6dB.