A new network slicing framework for multi-tenant heterogeneous cloud radio access networks
A new network slicing framework for multi-tenant heterogeneous cloud radio access networks
复制标题
DOI：
10.1109/icaees.2016.7888080
复制
发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Ying Loong Lee;J. Loo;Teong Chee Chuah
中科院分区：
文献类型：
--
作者：
Ying Loong Lee;J. Loo;Teong Chee Chuah
针对多租户异构云无线接入网（H-CRAN）的网络切片研究尚处于起步阶段。在本文中，我们重新定义了网络切片，并提出了一个新的网络切片框架多租户H-CRAN。特别地，网络切片过程被公式化为加权吞吐量最大化问题，其涉及计算资源、前传容量、物理远程无线电头端和无线电资源的共享。该问题，然后联合解决使用次优贪婪的方法和对偶分解方法。仿真结果表明，该框架可以灵活地缩放多个租户的吞吐量性能，根据用户的优先级权重与租户。
Research on network slicing for multi-tenant heterogeneous cloud radio access networks (H-CRANs) is still in its infancy. In this paper, we redefine network slicing and propose a new network slicing framework for multi-tenant H-CRANs. In particular, the network slicing process is formulated as a weighted throughput maximization problem that involves sharing of computational resources, fronthaul capacity, physical remote radio heads and radio resources. The problem is then jointly solved using a sub-optimal greedy approach and a dual decomposition method. Simulation results demonstrate that the framework can flexibly scale the throughput performance of multiple tenants according to the user priority weights associated with the tenants.