论文标题

用于软件定义的全堆栈切片的物理无线资源虚拟化

Physical Wireless Resource Virtualization for Software-Defined Whole-Stack Slicing

论文作者

Sander-Frigau, Matthias, Zhang, Tianyi, Zhang, Hongwei, Kamal, Ahmed E., Somani, Arun K.

论文摘要

无线电访问网络(RAN)虚拟化正在越来越多地基础,并期望重新建立下一代的蜂窝网络。现有的RAN虚拟化研究和解决方案主要集中于共享通信能力,并且倾向于在网络切片中使用相同的PHY和MAC层。这种方法尚未考虑不同的切片需要不同的PHY和MAC层的方案,例如,对于根本不同的服务,以及在无线生活实验室中的全堆栈研究中,新颖的PHY和MAC层需要与相同物理基础架构上的现有层一起部署。为了启用可以在不同的切片中部署不同的PHY和MAC层的整个堆栈切片,我们开发了PV-RAN,这是第一个开放源代码虚拟RAN平台,可在多个切片中共享相同的SDR物理资源。通过API远程PV-RAN启用在不同切片的OpenAirInterface(OAI)实例运行不同切片的实例,而无需修改OAI源代码。 PV-RAN有效地利用了XEN的间域间通信机制通过共享记忆来运输时间敏感的I/Q样本,从而使通信中的虚拟化开销几乎可以忽略不计。我们对PV-RAN进行了详细的性能基准测试,并证明了其低顶和高效率。我们还将PV-RAN与Cynet Wireless Living Lab集成,用于智能农业和运输。

Radio access network (RAN) virtualization is gaining more and more ground and expected to re-architect the next-generation cellular networks. Existing RAN virtualization studies and solutions have mostly focused on sharing communication capacity and tend to require the use of the same PHY and MAC layers across network slices. This approach has not considered the scenarios where different slices require different PHY and MAC layers, for instance, for radically different services and for whole-stack research in wireless living labs where novel PHY and MAC layers need to be deployed concurrently with existing ones on the same physical infrastructure. To enable whole-stack slicing where different PHY and MAC layers may be deployed in different slices, we develop PV-RAN, the first open-source virtual RAN platform that enables the sharing of the same SDR physical resources across multiple slices. Through API Remoting, PV-RAN enables running paravirtualized instances of OpenAirInterface (OAI) at different slices without requiring modifying OAI source code. PV-RAN effectively leverages the inter-domain communication mechanisms of Xen to transport time-sensitive I/Q samples via shared memory, making the virtualization overhead in communication almost negligible. We conduct detailed performance benchmarking of PV-RAN and demonstrate its low overhead and high efficiency. We also integrate PV-RAN with the CyNet wireless living lab for smart agriculture and transportation.

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