Network Slicing in Heterogeneous Software-defined RANs

Network Slicing in Heterogeneous Software-defined RANs
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DOI:
10.1109/infocom41043.2020.9155532
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发表时间:
2020-07
期刊:
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
影响因子:
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通讯作者:
Qiaofeng Qin;Nakjung Choi;Muntasir Raihan Rahman;M. Thottan;L. Tassiulas
Qiaofeng Qin;Nakjung Choi;Muntasir Raihan Rahman;M. Thottan;L. Tassiulas
中科院分区:
其他
文献类型:
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作者:
Qiaofeng Qin;Nakjung Choi;Muntasir Raihan Rahman;M. Thottan;L. Tassiulas

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5G 技术有望彻底改变移动网络,并将其推向资源利用的极限。除了更好的容量之外,我们还需要通过虚拟化进行更好的资源管理。端到端网络切片不仅涉及核心,还涉及无线接入网络(RAN),这使得这是一个具有挑战性的问题。这是因为存在多种替代无线电接入技术(例如,LTE、WLAN 和 WiMAX),并且没有统一的抽象来比较和组合不同的技术。此外,现有工作假设所有 RAN 基础设施都存在于单个管理域下。软件定义的无线接入网络 (SD-RAN) 提供可编程性,有助于利用不同技术堆栈的多个提供商之间的资源共享和组合的统一抽象。在本文中,我们提出了一种跨多个提供商的异构 RAN 切片的新架构。我们架构中的核心组件是服务编排器,它与多个网络提供商和服务提供商交互,以协商共同优化的资源分配。我们提出了一种双重拍卖机制,可以捕获自私各方之间的相互作用,并保证在有限时间内收敛到最优社会福利。然后,我们通过使用 EmPOWER (WiFi) 和 FlexRAN (LTE) 等开源 SD-RAN 系统来演示我们提出的系统的可行性。
5G technologies promise to revolutionize mobile networks and push them to the limits of resource utilization. Besides better capacity, we also need better resource management via virtualization. End-to-end network slicing not only involves the core but also the Radio Access Network (RAN) which makes this a challenging problem. This is because multiple alternative radio access technologies exist (e. g. ,LTE, WLAN, and WiMAX), and there is no unifying abstraction to compare and compose from diverse technologies. In addition, existing work assumes that all RAN infrastructure exists under a single administrative domain. Software-Defined Radio Access Network (SD-RAN) offers programmability that facilitates a unified abstraction for resource sharing and composition across multiple providers harnessing different technology stacks. In this paper we propose a new architecture for heterogeneous RAN slicing across multiple providers. A central component in our architecture is a service orchestrator that interacts with multiple network providers and service providers to negotiate resource allocations that are jointly optimal. We propose a double auction mechanism that captures the interaction among selfish parties and guarantees convergence to optimal social welfare in finite time. We then demonstrate the feasibility of our proposed system by using open source SD-RAN systems such as EmPOWER (WiFi) and FlexRAN (LTE).