论文标题
5G云无线电访问网络的流量感知动态功能拆分
Traffic-Aware Dynamic Functional Split for 5G Cloud Radio Access Networks
论文作者
论文摘要
下一代移动网络中虚拟化技术的最新改编使5G基站可以隔离为无线电单元（RU），分布式单元（DU）和中央单元（CU），以支持基于云的无线电访问网络（C-RAN）。 Ru和Du通过Fronthaul链接连接。相比之下，Cu和DU通过Midhaul链接连接。尽管CU的虚拟化为操作员提供了集中化的好处，但还有其他问题要解决，例如优化Midhaul带宽和在Edge Cloud和Central Cloud的计算资源分别部署了DUS和CUS。在本文中，我们通过采用Midhaul带宽有限的交通异质性，为5G C-RAN中的DU提出了动态功能拆分选择。我们提出了一个优化问题，该问题通过更改DUS的通道带宽在Split Option-7上操作更多的DU来最大化C-RAN系统的集中化。在给定的MIDHAUL带宽方面，每个CU-DU对之间的动态分配选项的动态选择在静态功能拆分方面提供了90％的集中化。
The recent adaption of virtualization technologies in the next generation mobile network enables 5G base station to be segregated into a Radio Unit (RU), a Distributed Unit (DU), and a Central Unit (CU) to support Cloud based Radio Access Networks (C-RAN). RU and DU are connected through a fronthaul link. In contrast, CU and DU are connected through a midhaul link. Although virtualization of CU gives benefits of centralization to the operators, there are other issues to be solved such as optimization of midhaul bandwidth and computing resources at edge cloud and central cloud where the DUs and CUs are deployed, respectively. In this paper, we propose a dynamic functional split selection for the DUs in 5G C-RAN by adopting to traffic heterogeneity where the midhaul bandwidth is limited. We propose an optimization problem that maximizes the centralization of the C-RAN system by operating more number of DUs on split Option-7 by changing the channel bandwidth of the DUs. The dynamic selection of split options among each CU-DU pair gives 90% centralization over the static functional split for a given midhaul bandwidth.
