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Approaching the MIMO capacity with a low-rate feedback channel in V-BLAST

机译:在V-BLAST中使用低速率反馈信道接近MI​​MO容量

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This paper presents an extension of the vertical Bell Laboratories Layered Space-Time (V-BLAST) architecture in which the closed-loop multiple-input multiple-output (MIMO) capacity can be approached with conventional scalar coding, optimum successive decoding (OSD), and independent rate assignments for each transmit antenna. This theoretical framework is used as a basis for the proposed algorithms whereby rate and power information for each transmit antenna is acquired via a low-rate feedback channel. We propose the successive quantization with power control (SQPC) and successive rate and power quantization (SRPQ) algorithms. In SQPC, rate quantization is performed with continuous power control. This performs better than simply quantizing the rates without power control. A more practical implementation of SQPC is SRPQ, in which both rate and power levels are quantized. The performance loss due to power quantization is insignificant when 4-5 bits are used per antenna. Both SQPC and SRPQ show an average total rate close to the closed-loop MIMO capacity if a capacity-approaching scalar code is used per antenna.
机译:本文提出了垂直贝尔实验室分层时空(V-BLAST)架构的扩展,其中传统的标量编码,最佳连续解码(OSD)可以达到闭环多输入多输出(MIMO)容量,以及每个发射天线的独立速率分配。该理论框架用作所提出算法的基础,从而可通过低速率反馈信道获取每个发射天线的速率和功率信息。我们提出了采用功率控制的连续量化(SQPC)和连续速率和功率量化(SRPQ)算法。在SQPC中,速率量化是通过连续功率控制执行的。这比没有功率控制的简单量化速率要好。 SQPC的一种更实际的实现是SRPQ,其中速率和功率水平都被量化。每个天线使用4-5位时,由于功率量化而导致的性能损失微不足道。如果每个天线使用接近容量的标量代码,则SQPC和SRPQ均显示接近于闭环MIMO容量的平均总速率。

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