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Low-Complexity Antenna Selection for Minimizing the Power Consumption of a MIMO Base Station

机译:低复杂性天线选择,以最大限度地减少MIMO基站的功耗

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In this paper, we study the problem of Transmit Antenna Selection (TAS) for the minimization of a base station power consumption. We propose an algorithm, which solves this problem when the optimal precoding and power allocation are employed, i.e., when an eigenvalue decomposition is employed with a water-filling algorithm. For that purpose, we derive an approximation for the base station power consumption expression that can be used to compute the number of switched-on antennas. Besides, we show that Norm-Based Selection (NBS) policy can be used for selecting the switched-on antennas. Finally, our numerical results show that the proposed low-complexity algorithm provides optimal power consumption performances.
机译:在本文中,我们研究了用于最小化基站功耗的发射天线选择(TAS)的问题。我们提出了一种算法,该算法在采用最佳预编码和功率分配时解决了该问题,即,当使用水填充算法采用特征值分解时。为此目的,我们推导出基站功耗表达式的近似,该基站功耗表达式可用于计算开启天线的数量。此外,我们表明基于规范的选择(NBS)策略可用于选择已交换天线。最后,我们的数值结果表明,所提出的低复杂性算法提供了最佳的功耗性能。

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