This paper evaluates the downlink performance of cellular networks in terms of coverage and electromagnetic field (EMF) exposure, in the framework of stochastic geometry. The model is constructed based on datasets for sub-6~GHz macro cellular networks but it is general enough to be applicable to millimeter-wave networks as well. On the one hand, performance metrics are calculated for $\beta$-Ginibre point processes which are shown to faithfully model a large number of motion-invariant networks. On the other hand, performance metrics are derived for inhomogeneous Poisson point processes with a radial intensity measure, which are shown to be a good approximation for motion-variant networks. For both cases, joint and marginal distributions of the EMF exposure and the coverage, and the first moments of the EMF exposure are provided and validated by Monte Carlo simulations using realistic sets of parameters from two sub-6~GHz macro urban cellular networks, i.e., 5G~NR~2100 (Paris, France) and LTE~1800 (Brussels, Belgium) datasets. In addition, this paper includes the analysis of the impact of the network parameters and discusses the achievable trade-off between coverage and EMF exposure.

翻译：本论文在随机几何框架下评估蜂窝网络在覆盖与电磁场（EMF）暴露方面的下行链路性能。模型基于Sub-6 GHz宏蜂窝网络数据集构建，但具有足够通用性，可适用于毫米波网络。一方面，针对β-Ginibre点过程计算性能指标，该过程已被证明能准确建模大量运动不变网络；另一方面，针对具有径向强度测量的非齐次泊松点过程推导性能指标，该过程被证明是运动变异网络的良好近似。针对两种情况，分别给出EMF暴露与覆盖的联合分布及边缘分布、EMF暴露的一阶矩，并采用两个Sub-6 GHz市区宏蜂窝网络（法国巴黎5G NR 2100与比利时布鲁塞尔LTE 1800数据集）的实际参数集通过蒙特卡洛仿真进行验证。此外，本文还分析了网络参数的影响，并讨论了覆盖与EMF暴露之间可实现的权衡。