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Markov chains with applications to channel modeling and performance analysis of wireless communication systems.

机译：马尔可夫链与无线通信系统的信道建模和性能分析相关的应用程序。

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摘要

The design and analysis of wireless communication systems is very challenging because of the inherent instability of its medium: the propagation channels. In this thesis, we explore the usefulness of the Markov chain theory in the channel modeling and performance analysis of wireless communication systems. In particular, we first propose a hierarchical Markov model for the shadowed fading wireless channel. Then, with the help of Markov chain theory, we develop a unified analytical framework for the performance evaluation of switched diversity combining techniques which are the lowest complexity solution for fading mitigation. The proposed framework not only allows for the generalization of all previous analytical results in the literature, but also leads to a thorough comparison and tradeoff study of different switching strategies. In addition, starting from the traditional dual-branch switch and stay combining diversity techniques, we develop and analyze several switching-based diversity combining schemes. More specifically, we first generalize switched diversity to multi-branch scenario. Then, noting the deficiency of the pure switching-based combining schemes in taking advantage of available diversity paths, we further generalize them and propose two new low-complexity combining schemes for diversity-rich environments, namely generalized switch and examine combining (GSEC) and output-thresholded generalized selection combining (OT-GSC). In addition to their performance analysis, we make special effort to quantify the complexity savings of the proposed schemes with respect to the optimal ones. It is observed that comparing to the more popular selection-based combining schemes, switching-based combining schemes lead to simpler receiver structure, less signal processing, and lower power consumption at the cost of a certain performance loss.
机译：无线通信系统的设计和分析非常具有挑战性，因为其介质固有的不稳定：传播通道。本文探讨了马尔可夫链理论在无线通信系统的信道建模和性能分析中的实用性。特别地，我们首先提出用于阴影衰落无线信道的分层马尔可夫模型。然后，借助马尔可夫链理论，我们为交换分集组合技术的性能评估开发了统一的分析框架，该技术是用于缓解衰落的最低复杂度的解决方案。所提出的框架不仅可以对文献中所有先前的分析结果进行概括，而且可以对不同的切换策略进行全面的比较和权衡研究。另外，从传统的双分支交换开始，并保持结合分集技术，我们开发并分析了几种基于交换的分集结合方案。更具体地说，我们首先将交换分集推广到多分支场景。然后，注意到基于纯交换的组合方案在利用可用分集路径方面的不足，我们进一步对其进行了概括，并针对多样性丰富的环境提出了两种新的低复杂度组合方案，即通用交换和检查合并（GSEC）和输出阈值广义选择组合（OT-GSC）。除了对它们的性能进行分析之外，我们还付出了特殊的努力来量化所建议方案相对于最优方案所节省的复杂性。可以观察到，与更流行的基于选择的组合方案相比，基于开关的组合方案导致更简单的接收器结构，更少的信号处理和更低的功耗，但会损失一定的性能。

著录项

  • 作者

    Yang, Hongchuan.;

  • 作者单位

    University of Minnesota.;

  • 授予单位 University of Minnesota.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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