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Using physical layer emulation to understand and improve wireless networks.

机译：使用物理层仿真来了解和改进无线网络。

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摘要

Researchers and developers have long faced a fundamental tension between the experimental realism of wireless testbeds on one hand, and the control and repeatability of simulation on the other hand. This thesis introduces physical layer wireless net work emulation---a new approach to wireless network experimentation that balances the stark tradeoff of traditional alternatives by enabling both realistic and repeatable experimentation.;The design and implementation of a functional wireless emulator are presented along with a discussion of how this implementation overcomes the challenges necessary to meet operational requirements. In particular, solutions to the problems of developing a hardware architecture for emulation, and software control of that architecture will be presented.;To illustrate the power of physical layer wireless network emulation, case studies are presented. First, physical layer emulation is used to analyze several aspects of wireless LAN link-level behavior. Physical layer emulation is then used to investigate wireless LAN access point selection performance, and to develop improvements.;This thesis shows that---compared to traditional approaches---physical layer wireless network emulation provides a better understanding of real-world wireless network performance, shortens the development cycle of wireless networking software, and facilitates the deployment of research into operational wireless networks without sacrificing a controlled experimental environment.
机译：长期以来，研究人员和开发人员都面临着无线试验台的实验现实性与仿真的控制性和可重复性之间的根本矛盾。本文介绍了物理层无线网络仿真-一种通过实现现实和可重复的实验来平衡传统替代方案的权衡取舍的无线网络实验的新方法。讨论如何实现克服了满足运营要求所必需的挑战。特别是，将提出解决方案，以开发用于仿真的硬件体系结构，并对该体系结构进行软件控制。;为了说明物理层无线网络仿真的功能，本文提供了案例研究。首先，物理层仿真用于分析无线局域网链路级行为的几个方面。然后，使用物理层仿真来研究无线局域网接入点的选择性能，并进行改进。；本论文表明，与传统方法相比，物理层无线网络仿真可以更好地了解实际的无线网络。性能，缩短无线网络软件的开发周期，并促进将研究部署到可操作的无线网络中，而不会牺牲受控的实验环境。

著录项

  • 作者

    Judd, Glenn.;

  • 作者单位

    Carnegie Mellon University.;

  • 授予单位 Carnegie Mellon University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 171 p.
  • 总页数 171
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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