一种系统分布式量化器设计方法及其在MIMO广播信道中的应用

Erdem Koyuncu, H. Jafarkhani
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引用次数: 9

摘要

我们介绍了一种系统的分布式量化器设计方法,称为{\it{localization}},该方法在现有的集中式(全局)量化器的基础上,采用高速率标量量化与熵编码相结合的方法合成分布式(局部)量化器。给出了一般的定位过程,并给出了多输入多输出广播信道的量化波束形成问题的实际应用。对于我们的特定应用,定位不仅提供了具有非常低反馈率的高性能分布式量化器,而且还揭示了有限速率反馈方案的一个有趣特性,这可能是理论上的兴趣:对于单用户多输入单输出系统,当发射机功率足够大时,可以实现几乎任何具有任意低反馈率的量化波束形成方案的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Distributed Quantizer Design Method with an Application to MIMO Broadcast Channels
We introduce a systematic distributed quantizer design method, called {\it{localization}}, in which, out of an existing centralized (global) quantizer, one synthesizes the distributed (local) quantizer using high-rate scalar quantization combined with entropy coding. The general localization procedure is presented, along with a practical application to a quantized beamforming problem for multiple-input multiple-output broadcast channels. For our particular application, not only localization provides high performance distributed quantizers with very low feedback rates, but also reveals an interesting property of finite rate feedback schemes that might be of theoretical interest: For single-user multiple-input single-output systems, one can achieve the performance of almost any quantized beamforming scheme with an arbitrarily low feedback rate, when the transmitter power is sufficiently large.
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