Energy Efficiency Maximization in Millimeter Wave Hybrid MIMO Systems for 5G and Beyond
Energy Efficiency Maximization in Millimeter Wave Hybrid MIMO Systems for 5G and Beyond
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DOI：
10.1109/comnet47917.2020.9306108
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发表时间：
2020-03
期刊：
影响因子：
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通讯作者：
Aryan Kaushik;J. Thompson;Evangelos Vlachos
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文献类型：
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作者：
Aryan Kaushik;J. Thompson;Evangelos Vlachos
在毫米波 (mmWave) 频率下，多输入多输出 (MIMO) 系统中硬件组件的成本和功耗较高，不允许完全在基带上对每个天线使用单独的射频 (RF) 链进行波束成形。在这种情况下，为了实现空间复用，混合波束成形（使用移相器将较少数量的射频链连接到大量天线）是一种经济高效且节能的替代方案。本文介绍了我们对完全自适应收发器的研究，这些收发器逐帧调整其行为，以便毫米波混合 MIMO 系统始终以最节能的方式运行。基于穷举搜索的强力方法计算量很大，因此我们研究分数编程作为一种低成本替代方案来解决最大化能源效率的问题。性能结果表明，与涉及纯模拟或纯数字信号处理解决方案的基准情况相比，由此产生的毫米波混合 MIMO 收发器实现了显着提高的能效结果，并显示了与强力方法的性能权衡。
At millimeter wave (mmWave) frequencies, the higher cost and power consumption of hardware components in multiple-input multiple output (MIMO) systems do not allow beamforming entirely at the baseband with a separate radio frequency (RF) chain for each antenna. In such scenarios, to enable spatial multiplexing, hybrid beamforming, which uses phase shifters to connect a fewer number of RF chains to a large number of antennas is a cost effective and energy-saving alternative. This paper describes our research on fully adaptive transceivers that adapt their behaviour on a frame-by-frame basis, so that a mmWave hybrid MIMO system always operates in the most energy efficient manner. Exhaustive search based brute force approach is computationally intensive, so we study fractional programming as a low-cost alternative to solve the problem which maximizes energy efficiency. The performance results indicate that the resulting mmWave hybrid MIMO transceiver achieves significantly improved energy efficiency results compared to the baseline cases involving analogue-only or digital-only signal processing solutions, and shows performance trade-offs with the brute force approach.