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Antenna and algorithm design in MIMO communication systems exploiting the spatial selectivity of wireless channels.

机译：利用无线信道的空间选择性的MIMO通信系统中的天线和算法设计。

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摘要

Cellular telephony and wireless Internet access are creating a growing demand for high quality wireless communications. Unfortunately, the current wireless communication infrastructure is not fully equipped to offer these unprecedented data rates and quality of service. The major obstacles include limited bandwidth availability, limited transmit power, and fluctuations in signal strength which are intrinsic to the wireless channel. Future wireless standards are relying on innovative core technologies such as multiple-input multiple-output (MIMO) communications to overcome these problems. The spatial dimension due to antenna arrays at the transmitter and receiver of MIMO communication systems can be exploited by sophisticated signal processing techniques to offer high link capacity, enhanced resistance to interference, and robustness to channel fading.; The benefits of MIMO technology are obtained through a combination of antenna arrays that can provide spatial diversity and algorithms that can adapt to the propagation channel. Antenna arrays have to be designed to be robust in different propagation scenarios and provide the degrees of spatial diversity expected by the algorithms. The algorithms can adaptively reconfigure the transmission methods by tracking the changing channel conditions. The premise of the work presented in this dissertation is that antenna arrays and algorithms at the physical layer can be designed, based on performance metrics from different layers, to exploit the channel spatial selectivity, resulting in improved system performance.; This dissertation presents performance analysis and design methodology of MIMO arrays, employing pattern diversity technique, in spatially correlated channels. The proposed array designs consist of collocated circular patch antennas, or circular patch arrays (CPAs). The benefit of pattern diversity, obtained through CPAs, over conventional space diversity technique is first demonstrated through analysis. Then a novel design methodology for compact MIMO arrays optimized with respect to microwave theory and communication theoretic metrics for given size constraints is proposed. This dissertation also presents adaptive algorithms at the physical layer to switch between different MIMO transmission schemes, based on statistical channel information. These adaptive algorithms exploit the spatial selectivity inherent in the channel and are designed to enhance the spectral efficiency of next generation wireless systems, for predefined target error rate.
机译：蜂窝电话和无线Internet接入对高质量无线通信的需求不断增长。不幸的是，当前的无线通信基础设施不能完全具备提供这些空前的数据速率和服务质量的能力。主要障碍包括有限的带宽可用性，有限的发射功率以及无线信道固有的信号强度波动。未来的无线标准将依靠诸如多输入多输出（MIMO）通信之类的创新核心技术来克服这些问题。 MIMO通信系统的发射器和接收器处的天线阵列所造成的空间尺寸可以通过复杂的信号处理技术加以利用，以提供高链路容量，增强的抗干扰性以及对信道衰落的鲁棒性。 MIMO技术的优势是通过可提供空间分集的天线阵列和可适应传播信道的算法来获得的。天线阵列必须设计成在不同的传播场景下具有鲁棒性，并提供算法期望的空间分集程度。该算法可以通过跟踪不断变化的信道条件来自适应地重新配置传输方法。本文工作的前提是可以基于不同层的性能指标设计物理层的天线阵列和算法，以利用信道空间选择性，从而提高系统性能。本文提出了在空间相关信道中采用模式分集技术的MIMO阵列性能分析和设计方法。提议的阵列设计由并置的圆形贴片天线或圆形贴片阵列（CPA）组成。首先通过分析证明了通过CPA获得的模式多样性优于常规空间多样性技术的好处。然后，针对给定的尺寸约束，针对微波理论和通信理论指标，针对紧凑型MIMO阵列提出了一种新颖的设计方法。本文还提出了基于统计信道信息的物理层自适应算法，可以在不同的MIMO传输方案之间进行切换。对于预定义的目标错误率，这些自适应算法利用了信道固有的空间选择性，旨在增强下一代无线系统的频谱效率。

著录项

  • 作者

    Forenza, Antonio.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 238 p.
  • 总页数 238
  • 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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