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A joint data rate-error rate analysis in correlated space-time wireless channels.

机译:相关空时无线信道中的联合数据率-错误率分析。

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摘要

Future generations of wireless communications demand (a) high data rate and (b) low error rate. However, information theory has revealed that in general the two performance metrics can not be optimized simultaneously. In other words, there is a tradeoff between data rate and error rate. Recently, this tradeoff is studied in multi-input-multi-output (MIMO) fading channels, where multi-antenna is employed at both transmitter side and receiver side.; Original works on the tradeoff assumes rich scattering environments, i.e., fadings across different antenna pairs are independent. But, in real applications, scattering sources can be poor. For example, rural, on highway, or on the top of a skyscraper. Therefore, practically fadings across different antenna pairs are not independent: they are correlated. It is motivated to study the tradeoff in poor scattering environments. However, solving the interested problem is not as trivial as it looks like. In fact, it has to be decomposed into several simpler problems.; First, the tradeoff is investigated in single-input-single-output (SISO) channels, where temporal correlations are incorporated. A novel concept, spike sharpening effect, is introduced to interpret the tradeoff in SISO channels.; Second, the single-input-multi-output (SIMO) channels are studied, where multiple antennas are employed at the receiver side. Error performance in SIMO channels is analyzed and simulated under perturbations and non-stationarity considerations.; Thirdly, correlated MIMO channel modeling is studied, i.e., spatially correlated fadings are considered. A unified framework is proposed to accommodate several stochastic models that are presented in the literature. Moreover, under this framework, it is depicted that different models are feasible in different physical environments.; Finally, an innovative channel capacity analysis reveals that, in high signal-to-noise ratio regimes, a correlated MIMO channel can be approximately decomposed into a linear summation of multiple parallel SISO and SIMO channels. Then, combining the previous results, the tradeoff in poor scattering MIMO channels is established.; The above results are not only meaningful for abstract analysis, but also useful for practical algorithm development in wireless communications. They help wireless engineer to incorporate practical considerations (Doppler spread, perturbation, stationarity, poor scattering, etc) into their design, and aim to build a system that can approach its ultimate performance in real environments.
机译:下一代无线通信需要(a)高数据速率和(b)低错误率。但是,信息理论表明,通常不能同时优化两个性能指标。换句话说,在数据率和错误率之间需要权衡。最近,在多输入多输出(MIMO)衰落信道中研究了这种折衷,其中在发射机侧和接收机侧都使用多天线。折衷的原始工作假定了丰富的散射环境,即不同天线对之间的衰落是独立的。但是,在实际应用中,散射源可能很差。例如,在乡村,高速公路上或摩天大楼的顶部。因此,实际上跨不同天线对的衰落不是独立的:它们是相关的。研究不良散射环境下的权衡是有动机的。但是,解决感兴趣的问题并不像看起来那样简单。实际上,它必须分解为几个更简单的问题。首先,在单输入单输出(SISO)通道中研究了权衡,其中结合了时间相关性。引入了一个新概念,尖峰锐化效果,以解释SISO通道中的权衡。其次,研究了单输入多输出(SIMO)信道,其中在接收器侧使用了多个天线。在扰动和非平稳性考虑下,对SIMO通道的错误性能进行了分析和模拟。第三,研究了相关的MIMO信道建模,即考虑了空间相关的衰落。提出了一个统一的框架来适应文献中提出的几种随机模型。而且,在该框架下,描述了不同的模型在不同的物理环境中是可行的。最后,一项创新的信道容量分析表明,在高信噪比条件下,相关的MIMO信道可以近似分解为多个并行SISO和SIMO信道的线性求和。然后,结合先前的结果,建立在较差的散射MIMO信道中的权衡。以上结果不仅对抽象分析有意义,而且对无线通信中的实用算法开发也很有用。他们帮助无线工程师将实际考虑因素(多普勒扩展,扰动,平稳性,弱散射等)纳入他们的设计中,并致力于构建一种可以在实际环境中接近其最终性能的系统。

著录项

  • 作者

    Tong, Hui.;

  • 作者单位

    Michigan Technological University.;

  • 授予单位 Michigan Technological University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 239 p.
  • 总页数 239
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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