Communication Dans Un Congrès Année : 2020

A Statistical Estimation of 5G Massive MIMO’s Exposure using Stochastic Geometry

Résumé

This paper aims to estimate the exposure in 5G massive MIMO networks using a stochastic geometric approach. The paper investigates the effect of beamforming, and the effect of multi-user massive MIMO on the exposure of a 5G network. The massive MIMO antenna pattern distribution is obtained by fitting the radiation pattern obtained by running a large amount of channel simulations on NYUSIM. The distribution is then implemented into an analytical framework based on stochastic geometry, so we can obtain a close form expression of the downlink exposure.

Dates et versions

hal-05153536 , version 1 (09-07-2025)

Identifiants

Citer

Maarouf Al Hajj, Shanshan Wang, Philippe De Doncker, Claude Oestges, Joe Wiart. A Statistical Estimation of 5G Massive MIMO’s Exposure using Stochastic Geometry. 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Aug 2020, Rome, Italy. pp.1-3, ⟨10.23919/URSIGASS49373.2020.9232290⟩. ⟨hal-05153536⟩
81 Consultations
0 Téléchargements

Altmetric

Partager

  • More