论文标题
最小化5G无线网络端到端切片的能耗
Minimizing Energy Consumption for End-to-End Slicing in 5G Wireless Networks and Beyond
论文作者
论文摘要
端到端（E2E）网络切片使无线网络能够在通用基础架构上提供各种服务。每个E2E切片，包括无线电访问网络（RAN）的资源和Core Network的资源，都出租给移动虚拟网络运营商（MVNOS），以向最终用户提供特定的服务。通过无线网络虚拟化实现的跑步切片涉及在RAN中共享频谱和基站天线。同样，在通过网络函数虚拟化实现的核心切片中，数据中心资源（例如商品服务器和物理链接）在不同MVNOS的用户之间共享。在本文中，我们研究了E2E切片，目的是最大程度地减少总能耗。所陈述的优化问题是非凸，它通过此处提出的亚典型算法解决。仿真结果表明，与Discoint方案相比，我们提出的联合功率控制，服务器和链接分配（JPSLA）算法提高了30％，在该方案中，RAN和CORE分别切成薄片。
End-to-End (E2E) network slicing enables wireless networks to provide diverse services on a common infrastructure. Each E2E slice, including resources of radio access network (RAN) and core network, is rented to mobile virtual network operators (MVNOs) to provide a specific service to end-users. RAN slicing, which is realized through wireless network virtualization, involves sharing the frequency spectrum and base station antennas in RAN. Similarly, in core slicing, which is achieved by network function virtualization, data center resources such as commodity servers and physical links are shared between users of different MVNOs. In this paper, we study E2E slicing with the aim of minimizing the total energy consumption. The stated optimization problem is non-convex that is solved by a sub-optimal algorithm proposed here. The simulation results show that our proposed joint power control, server and link allocation (JPSLA) algorithm achieves 30% improvement compared to the disjoint scheme, where RAN and core are sliced separately.
