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Exploiting long-term statistics in spatially correlated multi-user MIMO systems with quantized channel norm feedback

机译:利用量化的信道范数反馈在空间相关的多用户MIMO系统中利用长期统计数据

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摘要

In wireless multiple antenna and multi-user systems, the spatial dimensions may be exploited to increase the performance by means of antenna gain, spatial diversity, and multi-user diversity. A limiting factor in such systems is the channel information required by the transmitter to control the intra-cell interference. Herein, the properties of spatially correlated channels with long-term statistical information at the transmitter and fixed-rate feedback of the quantized Euclidean channel norm are analyzed using a spectral subspace decomposition framework. A spatial division multiple access scheme is proposed with interference suppression at the receiver and joint scheduling and zero-forcing beamforming at the transmitter. Closed-form expressions for first and second order moments of the feedback conditional channel statistics are derived. It is shown that only a few bits of feedback are required to achieve reliable rate estimation and weighted sum-rate maximization.
机译:在无线多天线和多用户系统中,可以利用空间尺寸来通过天线增益,空间分集和多用户分集来提高性能。这种系统中的一个限制因素是发射机控制小区内干扰所需的信道信息。在此,使用频谱子空间分解框架分析了在发射机处具有长期统计信息的空间相关信道的特性以及量化的欧几里德信道范数的固定速率反馈。提出了一种空分多址方案,该方案在接收机处具有干扰抑制能力,在发射机处具有联合调度和零强迫波束形成。推导了反馈条件信道统计信息的一阶和二阶矩的闭式表达式。结果表明,仅需少量反馈就可以实现可靠的速率估计和加权总和速率最大化。

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