2020
DOI: 10.3390/app10238753
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A Statistical Estimation of 5G Massive MIMO Networks’ Exposure Using Stochastic Geometry in mmWave Bands

Abstract: This paper aims to derive an analytical modelling of the downlink exposure in 5G massive Multiple Input Multiple Output (MIMO) antenna networks using stochastic geometry. The Poisson point process (PPP) is assumed for base station (BS) distribution. The power received at the transmitter is modeled as a shot-noise process with a modified power law. The distributions of 5G massive MIMO antenna gain and channel gain were obtained by fitting simulation results from the NYUSIM channel simulator. The fitted distribu… Show more

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Cited by 22 publications
(22 citation statements)
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“…To the best of our knowledge, there are very few discussions regarding the analytical study on the EMF exposure so far, except for a recent work in [26]. However, there are several differences between our work and [26].…”
Section: A Related Workmentioning
confidence: 81%
See 3 more Smart Citations
“…To the best of our knowledge, there are very few discussions regarding the analytical study on the EMF exposure so far, except for a recent work in [26]. However, there are several differences between our work and [26].…”
Section: A Related Workmentioning
confidence: 81%
“…To the best of our knowledge, there are very few discussions regarding the analytical study on the EMF exposure so far, except for a recent work in [26]. However, there are several differences between our work and [26]. First, in [26], the authors considered a single tier MMW network, while in our work, a hybrid sub-6 GHz and MMW tiers are considered along with entirely different channel propagation, antenna, and fading models in each tier.…”
Section: A Related Workmentioning
confidence: 94%
See 2 more Smart Citations
“…The aim was to assess the actual maximum exposure conditions and a key parameter of the model was found to be how the users were assumed to be distributed within the cell. In [18], the authors derived the analytical modelling of the downlink exposure in 5G massive MIMO networks using stochastic geometry and highlighted that the high dependence of the received power on the channel and the mobile terminals distribution made the analysis of the measurements especially challenging. In [16], base stations' transmit power samples were gathered from the network during 24 hours in order to characterize the actual EMF exposure.…”
Section: Introductionmentioning
confidence: 99%