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User Scheduling for Millimeter Wave MIMO Communications with Low-Resolution ADCs

机译:具有低分辨率ADC的毫米波MIMO通信的用户调度

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In millimeter wave (mmWave) systems, we investigate uplink user scheduling when a base station employs low-resolution analog-to-digital converters (ADCs) with a large number of antennas. To reduce power consumption in the receiver, low-resolution ADCs can be a potential solution for mmWave systems in which many antennas are likely to be deployed to compensate for the large path loss. Due to quantization error, we show that the channel structure in the beamspace, in addition to the channel magnitude and beamspace orthogonality, plays a key role in maximizing the achievable rates of scheduled users. Consequently, we derive the optimal criteria with respect to the channel structure in the beamspace that maximizes the uplink sum rate for multi- user multiple input multiple output (MIMO) systems with a zero-forcing receiver. Leveraging the derived criteria, we propose an efficient scheduling algorithm for mmWave systems with low-resolution ADCs. Numerical results validate that the proposed algorithm outperforms conventional user scheduling methods in terms of the sum rate.
机译:在毫米波(mmWave)系统中,当基站使用带有大量天线的低分辨率模数转换器(ADC)时,我们将调查上行链路用户调度。为了降低接收机的功耗,低分辨率ADC可能是mmWave系统的潜在解决方案,在毫米波系统中,可能会部署许多天线来补偿较大的路径损耗。由于量化误差,我们表明,波束空间中的信道结构,除了信道幅度和波束空间正交性之外,在最大化调度用户可达到的速率方面也起着关键作用。因此,我们针对波束空间中的信道结构得出了最佳准则,该准则使具有零强制接收器的多用户多输入多输出(MIMO)系统的上行链路总和速率最大化。利用推导的标准,我们为具有低分辨率ADC的mmWave系统提出了一种有效的调度算法。数值结果验证了该算法在求和率方面优于传统的用户调度方法。

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