论文标题
大提琴:零触摸软件的开放式蜂窝网络
CellOS: Zero-touch Softwarized Open Cellular Networks
论文作者
论文摘要
当前的蜂窝网络依赖于少数供应商紧密控制的封闭和僵化的基础设施。他们的配置需要供应商支持和冗长的手动操作,这可以防止电信运营商(TOS)解锁完整的网络潜力并执行精细的网络性能优化,尤其是在每个用户的基础上。为了解决这些关键问题,本文介绍了大提琴,这是一个需要可忽略的干预措施的蜂窝网络的完全自动化的优化和管理框架(“零触摸”)。大提琴利用软件和自动优化原理来桥接软件定义的网络(SDN)和跨层优化。与用于细胞网络的最新SDN启发的解决方案不同,大提琴:(i)通过一般的虚拟网络抽象隐藏了低级网络的详细信息; (ii)允许TOS定义高级控制目标,以指示所需的网络行为,而无需了解优化技术,并且(iii)自动生成并执行分布式控制程序,以同时优化多个网络切片的异质控制目标。大提琴已在室内测试床上实施和评估,具有两个不同的符合LTE的实现:OpenAirInterface和SRSLTE。我们进一步证明了在远程户外粉末续订PAWR 5G平台上的大提琴功能。来自多个基站和用户的方案的结果表明,大提琴是无关的,并且是自动适用于各种网络部署的。我们的调查表明,大提琴的表现优于关键指标的现有解决方案,包括吞吐量(提高86%),能源效率(高达84%)和公平性(高达29%)。
Current cellular networks rely on closed and inflexible infrastructure tightly controlled by a handful of vendors. Their configuration requires vendor support and lengthy manual operations, which prevent Telco Operators (TOs) from unlocking the full network potential and from performing fine grained performance optimization, especially on a per-user basis. To address these key issues, this paper introduces CellOS, a fully automated optimization and management framework for cellular networks that requires negligible intervention ("zero-touch"). CellOS leverages softwarization and automatic optimization principles to bridge Software-Defined Networking (SDN) and cross-layer optimization. Unlike state-of-the-art SDN-inspired solutions for cellular networking, CellOS: (i) Hides low-level network details through a general virtual network abstraction; (ii) allows TOs to define high-level control objectives to dictate the desired network behavior without requiring knowledge of optimization techniques, and (iii) automatically generates and executes distributed control programs for simultaneous optimization of heterogeneous control objectives on multiple network slices. CellOS has been implemented and evaluated on an indoor testbed with two different LTE-compliant implementations: OpenAirInterface and srsLTE. We further demonstrated CellOS capabilities on the long-range outdoor POWDER-RENEW PAWR 5G platform. Results from scenarios with multiple base stations and users show that CellOS is platform-independent and self-adapts to diverse network deployments. Our investigation shows that CellOS outperforms existing solutions on key metrics, including throughput (up to 86% improvement), energy efficiency (up to 84%) and fairness (up to 29%).