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Analysis of MIMO Systems with Finite-Rate Channel State Information Feedback: A Source Coding Perspective

机译:具有有限速率信道状态信息反馈的MIMO系统分析:一种源编码的观点

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This paper employs a source coding approach to study the effects of finite-rate quantization of the channel state information on the performance of MIMO systems over flat fading channels. In our previous work, the finite-rate feedback-based communication system was formulated as a general fixed-rate vector quantization problem for the purposes of analysis. In this paper, the analysis is extended to deal with complex variables further facilitating its use for communication systems with feedback. As an extended application of the general distortion analysis, tight lower bounds on the capacity loss of MIMO systems due to the finite-rate channel quantization are provided in this paper. Based on the obtained analytical results, it is shown that the system capacity loss decreases exponentially with the ratio of the quantization rate to the total degrees of freedom of the source variable. Interestingly, it is also shown that when the number of beams used by the transmit pre-coder equals to half of the transmit antennas (but not the minimal number of transmit and receive antennas), the system has the maximum number of free parameters to quantize. Finally, numerical and simulation results are presented which further confirm the tightness of theoretical distortion bounds.
机译:本文采用一种源编码方法来研究信道状态信息的有限速率量化对平坦衰落信道上的MIMO系统性能的影响。在我们以前的工作中,出于分析目的,将基于有限速率反馈的通信系统表述为一般的固定速率矢量量化问题。在本文中,分析扩展到处理复杂变量,从而进一步促进了其在具有反馈的通信系统中的使用。作为一般失真分析的扩展应用,本文提供了由于有限速率信道量化而导致的MIMO系统容量损失的严格下限。基于所获得的分析结果,表明系统容量损失随源变量的量化率与总自由度之比呈指数下降。有趣的是,还显示出当发射预编码器使用的波束数量等于发射天线的一半(但不等于发射和接收天线的最小数量)时,系统具有最大数量的空闲参数可进行量化。最后,给出了数值和仿真结果,进一步证实了理论失真边界的紧密性。

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    《》|2006年|1521-1525|共5页
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    Zheng; Jun; Rao; Bhaskar D.;

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