Quantized maximum ratio transmission for multiple-input multiple-output wireless systems

David J. Love, Robert W. Heath, T. Strohmer
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引用次数: 18

Abstract

Multiple-input multiple-output wireless systems can provide substantial gains in capacity and quality compared to single-input single-output (SISO) wireless systems. Maximum ratio transmission has been shown to be a low complexity solution to improving average signal-to-noise ratio (SNR), however, it requires feedback. Since in practice full channel knowledge at the transmitter is difficult to realize, we propose a technique where the receiver sends channel state information in the form of a codebook label. A codebook design method is based on a quantized version of traditional maximum ratio transmission with maximum ratio combining at the receiver. The codebook design criterion exploits the quantization problem's relationship with Grassmannian line packaging. Systems using the transmit diversity codebooks are shown to have a diversity order of the product of the number of transmit and the number of receive antennas. Monte Carlo simulations compare the performance of systems using this new codebook method with previously proposed systems.
多输入多输出无线系统的量化最大比传输
与单输入单输出(SISO)无线系统相比,多输入多输出无线系统在容量和质量方面都有很大的提高。最大比传输是提高平均信噪比(SNR)的一种低复杂度的解决方案,但它需要反馈。由于在实践中,发射机很难实现完整的信道知识,因此我们提出了一种技术,其中接收器以码本标签的形式发送信道状态信息。一种码本设计方法是基于传统最大比传输的量子化版本,在接收机处进行最大比组合。码本设计准则利用了量化问题与格拉斯曼线封装的关系。使用发射分集码本的系统显示具有发射天线数与接收天线数之积的分集顺序。蒙特卡罗仿真比较了使用这种新码本方法的系统与先前提出的系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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