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New methodology for performance evaluation of data services in mobile WiMAX networks.

机译:移动WiMAX网络中数据服务性能评估的新方法。

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摘要

This dissertation addresses the performance evaluation of data services in mobile Worldwide lnteroperability for Microwave Access (WiMAX) networks. It focuses on the evaluation of data services such as web browsing and FTP, and will address the end user's perception of quality of service of such data services.;A novel network evaluation and optimization methodology that was developed by analyzing drive test data is presented. The developed methodology is a five step process and each step addresses a fundamental aspect of the network, such as coverage, interference, and missing neighbors.;A set of Key Performance Indicators (KPIs) was extracted and implemented into the developed methodology. The KPIs are used to monitor the mobile WiMAX network performance. Based on the KPIs, a report on network failures according to their geographical locations across the network is generated.;Proper course of action is then presented to remedy network failures and to improve the quality of service (QoS) of the network. Based on the suggested course of action, network operators may perform changes of the network parameters to improve the performance of the network and boost customer satisfaction.;The developed methodology was implemented in a data post processing solution called g-station. The implementation was done to simplify and automate the optimization process.
机译:本论文着重研究了移动微波全球互通(WiMAX)网络中数据服务的性能评估。它着重于对诸如Web浏览和FTP之类的数据服务的评估,并将解决最终用户对此类数据服务的服务质量的看法。通过分析路测数据,提出了一种新颖的网络评估和优化方法。所开发的方法是一个五步过程,每个步骤都针对网络的一个基本方面,例如覆盖范围,干扰和邻居丢失。;一组关键性能指标(KPI)被提取并实施到所开发的方法中。 KPI用于监视移动WiMAX网络性能。基于KPI,将根据其在整个网络中的地理位置生成有关网络故障的报告。然后,提出了正确的措施以纠正网络故障并提高网络的服务质量(QoS)。根据建议的行动方案,网络运营商可以更改网络参数,以改善网络性能并提高客户满意度。所开发的方法在称为g-station的数据后处理解决方案中实现。完成该实现是为了简化和自动化优化过程。

著录项

  • 作者单位

    Florida Institute of Technology.;

  • 授予单位 Florida Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);
  • 关键词

  • 入库时间 2022-08-17 11:37:19

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