Methodology for analysis of the coverage probability of WLAN using the padé approximant

This paper proposes a methodology for analysis of the signal reception probability in a 2.4GHz Wireless Local Area Network (WLAN). For validating this methodology a measurement campaign was carried out in an indoor environment using an access point as signal transmitter, and a notebook computer, equipped with a wireless board, as receiver. Twenty five average power received values were collected in this environment. Considering that the number of samples was insufficient for statistically characterize the environment, the colleted data was expanded using an Artificial Neural Network (ANN). The propagation loss was calculated using the expanded data in an adapted Pade Approximant model. It was included also, in the model, the number of obstacles intersected by the signal, as well as the loss due to each kind of obstacles. The obtained results were compared to a classical literature model.