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A cloud based radio access network architecture for 4G and smart grid communication systems.

机译:用于4G和智能电网通信系统的基于云的无线电接入网络架构。

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摘要

This thesis develops the next logical evolution of highly advanced wireless network infrastructure to support 4G and beyond: the integration of cloud data center systems, radio access network technology, and advanced applications such as smart grid. The cloud data center systems we introduce and analyze are capable of hosting radio access networks denoted as C-RAN (cloud radio access networks). Several C-RAN system challenges involving delay caused by wireless, computational, and network have been analyzed and solutions are presented in this thesis. In addition, in this thesis we develop the architecture for a C-RAN based cognitive radio (CR) smart grid communication networks. Our network architecture enables metropolitan scale cognitive radio based smart meter networks. CR networks however impose unique challenges resulting from high fluctuation in available spectrum in both time and space. The C-RAN framework is used to develop interference-aware resource management scheme that exploits dynamic channel allocation reuse technique to share the spectrum. Our simulation result show 5xtimes increased cell capacity and fair resource allocation in CR networks.
机译:本文研究了支持4G及更高版本的高级无线网络基础架构的下一个逻辑演进:云数据中心系统,无线电接入网络技术和智能电网等高级应用程序的集成。我们介绍和分析的云数据中心系统能够托管表示为C-RAN(云无线电接入网络)的无线电接入网络。分析了涉及无线,计算和网络引起的延迟的几个C-RAN系统挑战,并提出了解决方案。此外,在本文中,我们开发了基于C-RAN的认知无线电(CR)智能电网通信网络的体系结构。我们的网络架构支持基于城域规模的认知无线电的智能电表网络。然而,CR网络由于时间和空间上可用频谱的高度波动而带来了独特的挑战。 C-RAN框架用于开发可感知干扰的资源管理方案,该方案利用动态信道分配重用技术来共享频谱。我们的仿真结果表明,CR网络中的小区容量增加了5倍,资源分配合理。

著录项

  • 作者

    Nagothu, Kranthimanoj.;

  • 作者单位

    The University of Texas at San Antonio.;

  • 授予单位 The University of Texas at San Antonio.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 149 p.
  • 总页数 149
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:40:48

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