Enhanced probabilistic micro cell prediction model

A microcell is a cell with 1-km or less radius which is suitable not only for heavily urbanized area such as a metropolitan city but also for in-building area such as offices and shopping malls. This paper deals with the microcell prediction model of propagation loss focused on in-buildng solution that is analyzed by probabilistic techniques. The RSL (Receive Signal Level) is the factor which can evaluate the performance of a microcell and the LOS (Line-Of-Sight) component and the blockage loss directly effect on the RSL. Combination of the probabilistic method is applied to get these performance factors. The mathematical methods include the CLT (Central Limit Theorem) and the SSQC (Six-Sigma Quality Control) to get the parameters of the distribution. This probabilistic solution gives us compact measuring of performance factors. In addition, it gives the probabilistic optimization of strategies such as the number of cells, cell location, capacity of cells, range of cells and so on. In addition, the optimal strategies for antenna allocation for a building can be obtained by using this model.