Energy Efficiency Maximization of Millimeter Wave Hybrid MIMO Systems with Low Resolution DACs
Energy Efficiency Maximization of Millimeter Wave Hybrid MIMO Systems with Low Resolution DACs
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DOI：
10.1109/icc.2019.8761357
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Aryan Kaushik;Evangelos Vlachos;J. Thompson
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文献类型：
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作者：
Aryan Kaushik;Evangelos Vlachos;J. Thompson
提出了一种在发射端采用低分辨率数模转换器(DAC)的多输入多输出(MIMO)混合波束形成器。我们考虑所有DAC对于每个射频链具有相同的采样分辨率的情况，并选择有源射频链的最佳子集和DAC分辨率。提出了一种基于Dinkelbach方法和子集选择优化的新技术，以最大化给定的传输功率预算的能量效率(EE)。我们还实现了一种穷举搜索方法，作为EE性能的上限，并显示了性能权衡。仿真结果表明，该方法具有与最优穷举搜索方法相似的EE性能，同时具有较低的计算复杂度。
This paper proposes an energy efficient millimeter wave (mmWave) hybrid multiple-input multiple-output (MIMO) beamformer with low resolution digital to analog converters (DACs) at the transmitter. We consider the case where all DACs have the same sampling resolution for each radio frequency (RF) chain and select the best subset of the active RF chains and the DAC resolution. A novel technique based on the Dinkelbach method and subset selection optimization is proposed to maximize the energy efficiency (EE) given a predefined power budget for transmission. We also implement an exhaustive search approach to serve as an upper bound on the EE performance and show the performance trade-offs. The simulation results verify that the proposed technique exhibits EE performance similar to the optimal exhaustive search technique while requiring lower computational complexity.