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Cross stratum resources protection in fog-computing-based radio over fiber networks for 5G services

机译:基于雾计算的5G光纤网络无线电中的跨层资源保护

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摘要

In order to meet the requirement of internet of things (IoT) and 5G, the cloud radio access network is a paradigm which converges all base stations computational resources into a cloud baseband unit (BBU) pool, while the distributed radio frequency signals are collected by remote radio head (RRH). A precondition for centralized processing in the BBU pool is an interconnection fronthaul network with high capacity and low delay. However, it has become more complex and frequent in the interaction between RRH and BBU and resource scheduling among BBUs in cloud. Cloud radio over fiber network has been proposed in our previous work already. In order to overcome the complexity and latency, in this paper, we first present a novel cross stratum resources protection (CSRP) architecture in fog-computing-based radio over fiber networks (F-RoFN) for 5G services. Additionally, a cross stratum protection (CSP) scheme considering the network survivability is introduced in the proposed architecture. The CSRP with CSP scheme can effectively pull the remote processing resource locally to implement the cooperative radio resource management, enhance the responsiveness and resilience to the dynamic end-to-end 5G service demands, and globally optimize optical network, wireless and fog resources. The feasibility and efficiency of the proposed architecture with CSP scheme are verified on our software defined networking testbed in terms of service latency, transmission success rate, resource occupation rate and blocking probability. (C) 2017 Elsevier Inc. All rights reserved.
机译:为了满足物联网(IoT)和5G的需求,云无线电接入网是一种将所有基站计算资源都聚合到云基带单元(BBU)池中的范例,而分布式射频信号则由远程无线电头(RRH)。 BBU池中进行集中处理的先决条件是具有高容量和低延迟的互连前传网络。但是,RRH和BBU之间的交互以及云中BBU之间的资源调度变得越来越复杂和频繁。在我们之前的工作中已经提出了通过光纤网络的云无线电。为了克服复杂性和延迟,在本文中,我们首先提出一种新颖的跨层资源保护(CSRP)架构,用于基于雾计算的5G光纤网络无线电(F-RoFN)。此外,在所提出的体系结构中引入了考虑网络生存能力的跨层保护(CSP)方案。采用CSP方案的CSRP可以有效地在本地拉动远程处理资源,以实现协作无线电资源管理,增强对动态端到端5G服务需求的响应能力和弹性,并在全球范围内优化光网络,无线和雾资源。在我们的软件定义网络测试平台上,从服务等待时间,传输成功率,资源占用率和阻塞概率方面验证了采用CSP方案的建议体系结构的可行性和效率。 (C)2017 Elsevier Inc.保留所有权利。

著录项

  • 来源
    《Optical fiber technology》 |2017年第9期|61-68|共8页
  • 作者单位

    Beijing Univ Posts & Telecommun, State Key Lab Network & Switching Technol, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Network & Switching Technol, Beijing 100876, Peoples R China;

    State Grid, Global Energy Interconnect Res Inst, Nanjing 210000, Jiangsu, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Radio over fiber; Software defined network; Cross stratum optimization; 5G; Cloud radio access network; Fog computing;

    机译:光纤无线电;软件定义的网络;跨层优化;5G;云无线电接入网络;雾计算;

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