真实世界同质与非同质蜂窝网络中 EMF 暴露与覆盖的联合指标
Joint Metrics for EMF Exposure and Coverage in Real-World Homogeneous and Inhomogeneous Cellular Networks
AI总结：
本文基于随机几何，针对 β-Ginibre 与非同质 Poisson 点过程推导蜂窝网络覆盖和 EMFE 的联合及边缘指标，并用真实 5G NR 与 LTE 数据集仿真验证及分析权衡。
摘要：
本文在随机几何框架下，从覆盖和电磁场暴露（EMFE）两个方面评估蜂窝网络的下行性能。该模型基于 sub-6 GHz 宏蜂窝网络数据集构建，但其通用性足以同样适用于毫米波网络。一方面，针对 β-Ginibre 点过程计算性能指标，结果表明该过程能够忠实地为大量运动不变网络建模。另一方面，针对具有径向强度测度的非同质 Poisson 点过程推导性能指标，结果表明其可作为运动变化网络的良好近似。对于这两种情形，本文给出了 EMFE 与覆盖的联合分布和边缘分布，以及 EMFE 的一阶矩，并使用来自两个 sub-6 GHz 城市宏蜂窝网络（即法国巴黎的 5G NR 2100 和比利时布鲁塞尔的 LTE 1800 数据集）的真实参数集，通过 Monte Carlo 仿真进行了验证。此外，本文还分析了网络参数的影响，并讨论了覆盖与 EMFE 之间可实现的权衡。
英文摘要：
This paper evaluates the downlink performance of cellular networks in terms of coverage and electromagnetic field exposure (EMFE), 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 $β$-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 EMFE and the coverage, and the first moments of the EMFE 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 EMFE.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
