The real time monitoring of rainfall over urban areas is a critical issue for hydrological applications such as flood warning and water resource systems. Despite the fact that traditional techniques such as networks of rain gauges and weather radars are used to measure rainfall many cities worldwide are not well equipped with these devices. However, they are generally equipped with mobile telecommunication networks. Mobile networks use atmospheric Hyper-Frequency (HF) links whose transmitted signal power is attenuated by rainfall. Measuring that signal attenuation along each link could allow the measurement of path-averaged rainfall. As HF links are concentrated in cities, these networks could constitute a self-suf We propose a simulation approach in order to evaluate the feasibility of reconstruction of rainfall maps by means of tomographic processing applied to attenuation measurements from HF links. A discrete tomographic algorithm based on the Mojette Transform (MT) is applied to reconstruct 2D rainfall map. Before applying the algorithm, specific adjustment procedures, which take into account the geometry of the network topology and non-uniform distribution of links frequency and lengths, are performed. The study domain is the city of Nantes (France) where the density of HF links is greatest. A series of rainfall fields recorded at high spatial (250m x 250m) and temporal (5 minute) resolutions are used to simulate the attenuation data and are considered as reference rainfall fields. These maps are obtained from C-band weather radar located about 10 km north of the center of Nantes (France) and are considered as reference rainfall fields. We carry out more than 100 reconstruction tests in light rain, shower and storm events to compare the reconstructed rainfall fields to reference ones. Initially obtained results are a subject to further works: (i) improvement on the adjustment procedures of the tomographic reconstruction algorithm, (ii) Implementation of the method in the presence of the error sources.