论文标题
5G及以后的毫米波杂种系统中的能源效率最大化
Energy Efficiency Maximization in Millimeter Wave Hybrid MIMO Systems for 5G and Beyond
论文作者
论文摘要
在毫米波（MMWave）频率下，多输入多重输出（MIMO）系统中硬件组件的较高成本和功率消耗不允许在每个天线的单独射频（RF）链的基带上完全进行波束形成。在这种情况下，为了实现空间多路复用，混合波束形成，它使用相位变速器将较少数量的RF链连接到大量天线是一种具有成本效益和节能的替代方案。本文介绍了我们对完全自适应收发器的研究，该收发器以逐框的方式适应其行为，以便MMWave混合MIMO系统始终以最节能的方式运行。详尽的基于搜索的蛮力方法是计算密集的，因此我们将分数编程作为一种低成本替代方案，以解决最大化能源效率的问题。性能结果表明，与涉及仅纯模拟或仅数字信号处理解决方案的基线案例相比，所得的MMWAVE混合MIMO收发器可显着提高能效的结果，并显示了使用蛮力方法的性能权衡。
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.
