par Maarouf, Al Hajj;Wang, Shanshan;De Doncker, Philippe ;Oestges, Claude ;Wiart, Joe JW
Référence (28 August - 4 September, 2021: Rome, Italy), Proc. of the XXXIVth URSI General Assembly and Scientific Symposium, URSI GRASS
Publication Publié, 2021-09
Publication dans des actes
Résumé : This paper aims to estimate the exposure in 5G massiveMIMO networks using a stochastic geometric approach.The paper investigates the effect of beamforming, and theeffect of multi-user massive MIMO on the exposure of a5G network. The massive MIMO antenna patterndistribution is obtained by fitting the radiation patternobtained by running a large amount of channel simulationson NYUSIM. The distribution is then implemented into ananalytical framework based on stochastic geometry, so wecan obtain a close form expression of the downlinkexposure.