The fifth-generation mobile evolution introduces Next-Generation Radio Access Networks (NG-RAN) based on the protocol stack disaggregation to enable flexibility to support users' demand for ultra-low latency and high-bandwidth applications. For example, Open RAN solutions focus on an NG-RAN with general-purpose vendor-neutral hardware, software-defined technologies, and interoperability, splitting the protocol stack into the eight options combined into three network units, i.e., central, Distributed, and Radio. These network units and the protocols disaggregated are managed as radio functions. These functions' placement is challenging since the best decision is based on the RAN protocol stack split, routing paths of transport networks with restricted bandwidth and latency requirements, different topologies and link capabilities, asymmetric computational resources, etc. Therefore, this article proposes the first exact model for the placement optimization of radio functions for vNG-RAN planning, named PlaceRAN. The main objective is to minimize the computing resources and maximize the aggregation of radio functions. The PlaceRAN evaluation considered two real network topologies based on 5G-crosshaul and Passion European projects. The PlaceRAN performance reaches up to 80\% aggregation of radio functions centralized.
翻译:第五代移动演进引入了基于协议堆叠分解的“下一代无线电接入网络”(NG-RAN),以便灵活地支持用户对超低悬浮度和高带宽度应用的需求,例如,开放RAN解决方案侧重于具有通用供应商中性硬件、软件定义技术和互操作性的NG-RAN的NG-RAN,将协议堆叠分成八个选项,合并成三个网络单位,即中央、分布式和无线电台。这些网络单位和分解的协议被管理为无线电功能。这些功能的布置具有挑战性,因为最佳决策基于RAN协议堆叠分割、带宽度要求有限的运输网络路由路径、不同地形和连接能力、不对称计算资源等。因此,本文章提出了将VNG-RAN规划的无线电功能配置最优化的第一个精确模型,名为PlacerRAN。主要目标是最大限度地减少计算资源,最大限度地整合无线电功能。PlacerAN评价认为,基于5G-Crossural-NLA 和Passal Pasimal Stative Pasion 80-Last Statal Stative Stative Statriews。