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Performance of space-division multiple-access system using preprocessing based on feedback of vector-quantized channel spatial information

机译:基于矢量量化信道空间信息反馈的预处理空分多址系统的性能

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In this paper, we report the performance of multi-user transmitter preprocessing assisted multiple-input multiple-output downlink (DL) communication, when the channel impulse responses (CIRs) required to formulate the preprocessing matrix are fed back to the base station (BS) via feedback channels that endure noise and fading. Specifically, in our work the CIRs are estimated at the mobile stations (MSs) and are then decomposed by singular value decomposition. The magnitudes and phases associated with the right-hand side unitary matrix of each of the MSs are then vector-quantized (VQ) and conveyed to the BS as channel spatial information. This spatial information is then used to conceive the preprocessing matrix. Our study shows that the symbol-error-rate and capacity achieved with the ideal feedback scenario is close to that attained with perfect spatial information assumption. Hence, we advocate that VQ-spatial information based preprocessing comprises an efficient technique to deal with the DL multi-user interference.
机译:在本文中,当制定预处理矩阵所需的信道脉冲响应(CIR)反馈给基站(BS)时,我们报告了多用户发射机预处理辅助多输入多输出下行链路(DL)通信的性能)通过可承受噪声和衰落的反馈通道。具体而言,在我们的工作中,CIR在移动台(MS)进行估算,然后通过奇异值分解进行分解。然后,将与每个MS的右侧unit矩阵相关联的幅度和相位进行矢量量化(VQ),并作为信道空间信息传送到BS。然后,该空间信息用于构想预处理矩阵。我们的研究表明,理想反馈情况下实现的符号错误率和容量与理想空间信息假设下获得的符号错误率和容量接近。因此,我们提倡基于VQ空间信息的预处理包括一种有效的技术来应对DL多用户干扰。

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