The emerging 5G technology needs to support simultaneously running incompatible service types on a common infrastructure. Network slicing is a solution that corresponds a slice of the network to each service type. Ensuring that user activity in one slice does not affect other slices, i.e., inter-slice isolation, is a key requirement of slicing. Since due to interference and channel conditions, wireless link quality is unpredictable and variable, providing isolation in radio access network (RAN) is cumbersome. In this technical report, we consider multi-cell RAN slicing where the coupled interference between cells results in dynamic behavior for slices. We propose a queueing theoretic-based model to analyze interference-coupled multi-cell RAN slicing. To this end, we map our scenario on a suitable state-dependent queueing network and propose an iterative algorithm to obtain approximately the network steady-state probability distribution and derive average delay and throughput. To quantify isolation in slices, we define some new key performance indicators (KPIs). Finally, we propose and analyze an interference-aware channel allocation policy that avoids use of overlapped frequency channels for as much as possible. Numerical results demonstrate the accuracy of our proposed model and the efficacy of the interference-aware policy in improving isolation-based KPIs compared to random allocation policy.
翻译:新兴的 5G 技术需要支持同时运行共同基础设施上互不兼容的服务类型。 网络切片是一个解决方案, 与每个服务类型对应一个网络的切片。 确保一个切片中的用户活动不会影响其他切片, 即切片隔离, 是切片的关键要求。 由于干扰和频道条件, 无线连接质量是不可预测和可变的, 提供无线电接入网络( RAN) 的隔离是累赘的 。 在本技术报告中, 我们考虑多细胞的切片切片间干扰导致切片动态行为时, 多细胞RAN 切片切片的切片。 我们提议排队式基于理论的模型, 分析受干扰的多细胞RAN切片。 为此, 我们用一个适合国家的排队列网络, 并提议一个迭代算法, 以大致获得网络稳定状态概率分布, 并获得平均延迟和吞吐量。 为了量化切片中的隔离, 我们定义了一些新的关键性绩效指标( KPIs)。 最后, 我们提议和分析一个干扰感频道分配政策, 避免使用重叠频率频道的模型, 尽可能地用于比较隔离政策配置。 Numalevoraleval- pres 。