Stochastic Dosimetry based on Low Rank Tensor Approximations for the Assessment of Children Exposure to WLAN Source

The exposure of a 8-years child to a 4G LTE femtocell, both (child and source) freely located in random positions in a realistic indoor environment was assessed by sparse low rank tensor approximation method (sparse LRA) for developing stochastic dosimetry by surrogate models. These latters were used for fast estimating the Specific Absorption Rate (SAR) in all the possible positions of femtocell and child and to assess the compliance with the International Commission of Non-Ionizing Radiation Protection (ICNIRP) guidelines for general public exposure. Results showed that, for all the possible positions in the room, the exposure values were significantly below the ICNIRP guidelines and that the probability of reaching SAR values higher than 1% of the ICNIRP guidelines value was lower than 0.006. The variation of the distance between femtocell and child influenced greatly the exposure, resulting in Quartile Coefficient of Dispersion values always higher than 48 %.