One of the distinctive features of today’s mobile networks is the densification of the access nodes and their heterogeneity, which lead to complex, multi-tier, multi-radio access systems. Unlike previous work, which has focussed on optimal techniques for user assignment and technology selection schemes, in this paper we present a flexible analytical model for the performance evaluation and the efficient design of the above complex systems. Leveraging a Markovian agent formalism, the model captures several essential elements, including the spatial and temporal dynamics of the user traffic demand and the availability of radio resources. Importantly, the model exhibits low complexity and an excellent match with simulation results; furthermore, it is general enough to accommodate various network architecture and radio technologies. Through an innovative mean-field solution, we derive a number of relevant performance metrics and show the ability of our framework to represent the system behaviour in large-scale, real-world scenarios, with time-varying user traffic.

当今移动网络的显着特征之一是接入节点的致密化及其异构性，这导致了复杂的多层多层无线接入系统。与以前的工作侧重于用户分配和技术选择方案的最佳技术不同，在本文中，我们为上述复杂系统的性能评估和有效设计提供了一种灵活的分析模型。利用Markovian代理形式主义，该模型捕获了几个基本要素，包括用户业务需求的时空动态和无线电资源的可用性。重要的是，该模型具有较低的复杂度，并且与仿真结果具有很好的匹配性。此外，它足以容纳各种网络架构和无线电技术。