This paper focuses on the meta distribution of electromagnetic field exposure (EMFE) experienced by a passive user in a cellular network implementing dynamic beamforming. The meta distribution serves as a valuable tool for extracting fine-grained insights into statistics of individual passive user EMFE across the network. A comprehensive stochastic geometry framework is established for this analysis. Given the pivotal role of accurately modeling the main and side lobes of antennas in this context, a multi-cosine gain model is introduced. The meta distribution is closely approximated by a beta distribution derived from its first- and second-order moments, which is demonstrated to be mathematically tractable. The impact of the number of antennas in the ULA on the meta distribution is explored, shedding light on its sensitivity to this parameter.

翻译：本文聚焦于采用动态波束赋形的蜂窝网络中无源用户所经历的电磁场暴露（EMFE）的元分布。元分布作为提取网络中单个无源用户EMFE统计特性的精细洞察工具，具有重要价值。为此建立了一套完整的随机几何分析框架。鉴于该场景中天线主瓣与旁瓣精确建模的关键作用，引入了一种多余弦增益模型。研究表明，基于一阶矩与二阶矩推导出的贝塔分布能够紧密逼近元分布，且该分布具有良好的数学可解性。进一步探讨了均匀线性阵列（ULA）中天线数量对元分布的影响，揭示了元分布对该参数的敏感性特征。