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arXiv 0911.0709cs.ITmath.IT
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星座预编码多波束形成

Constellation Precoded Multiple Beamforming

Hong Ju Park, Boyu Li, Ender Ayanoglu

摘要:

采用奇异值分解(SVD)的波束成形技术通常用于多输入多输出(MIMO)无线通信系统中。在没有信道编码的情况下,当发送单个符号时,这些系统实现了由信道提供的全分集阶数;而当同时发送多个符号时,该特性丧失。当采用信道编码时,可以实现全分集阶数。例如,当比特交织编码调制(BICM)与该技术相结合时,如果满足关于S和BICM卷积码率的条件,则在发送S个并行流的MxN MIMO信道中的NM的全分集阶数是可能的。本文提出了一种星座预编码多波束形成算法,该算法在BICM编码和未编码SVD系统下都能实现全分集阶数。我们提供了这个属性的分析证明。为了降低系统中最大似然(ML)译码的计算复杂性,我们采用球形译码(SD)。我们报告的SD技术,降低了计算复杂性超出常用的方法SD。该技术不仅相对于常规ML解码而且相对于常规SD实现了计算复杂性的几个数量级的降低。

英文摘要:

Beamforming techniques that employ Singular Value Decomposition (SVD) are commonly used in Multi-Input Multi-Output (MIMO) wireless communication systems. In the absence of channel coding, when a single symbol is transmitted, these systems achieve the full diversity order provided by the channel; whereas when multiple symbols are simultaneously transmitted, this property is lost. When channel coding is employed, full diversity order can be achieved. For example, when Bit-Interleaved Coded Modulation (BICM) is combined with this technique, full diversity order of NM in an MxN MIMO channel transmitting S parallel streams is possible, provided a condition on S and the BICM convolutional code rate is satisfied. In this paper, we present constellation precoded multiple beamforming which can achieve the full diversity order both with BICM-coded and uncoded SVD systems. We provide an analytical proof of this property. To reduce the computational complexity of Maximum Likelihood (ML) decoding in this system, we employ Sphere Decoding (SD). We report an SD technique that reduces the computational complexity beyond commonly used approaches to SD. This technique achieves several orders of magnitude reduction in computational complexity not only with respect to conventional ML decoding but also, with respect to conventional SD.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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