Achieving connectivity reliability is one of the significant challenges for 5G and beyond 5G cellular networks. The present understanding of reliability in the context of mobile communication does not adequately cover the stochastic temporal aspects of the network, such as the duration and spread of packet errors that an outage session may cause. Rather, it simply confines the definition to the percentage of successful packet delivery. In this letter, we offer an elaborate modeling of the outage for a cellular mobile network by showcasing the different types of outages and their contiguity characteristic. Thereafter, using the outage metrics, we define two new key performance indicators (KPIs), namely mean outage time and mean time between outages as counterparts to akin KPIs that already exist in classical reliability theory, i.e., mean down time and mean time between failures. Using a system-level simulation where user mobility is a crucial component, it is shown that these newly defined KPIs can be used to quantify the reliability requirements of different user applications in cellular services.

中文翻译：

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可靠性理论在蜂窝网络移动性能分析中的应用


实现连接可靠性是 5G 及 5G 蜂窝网络以外的重大挑战之一。目前对移动通信上下文中可靠性的理解并未充分涵盖网络的随机时间方面，例如中断会话可能导致的数据包错误的持续时间和传播。相反，它只是将定义限制为成功数据包交付的百分比。在本信中，我们通过展示不同类型的中断及其连续特性，对蜂窝移动网络的中断进行了详细的建模。此后，使用中断指标，我们定义了两个新的关键绩效指标 （KPI），即平均中断时间和平均中断间隔时间，作为经典可靠性理论中已经存在的类似 KPI 的对应物，即平均停机时间和平均故障间隔时间。使用以用户移动性为关键组成部分的系统级仿真，表明这些新定义的 KPI 可用于量化蜂窝服务中不同用户应用的可靠性要求。