Optimal Energy Efficiency in Cell-Free Massive MIMO Systems: A Stochastic Geometry Approach
Optimal Energy Efficiency in Cell-Free Massive MIMO Systems: A Stochastic Geometry Approach
复制标题
无细胞大规模 MIMO 系统中的最佳能源效率：随机几何方法
DOI：
10.1109/pimrc48278.2020.9217353
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
J. Senior
中科院分区：
文献类型：
--
作者：
Anastasios K. Papazafeiropoulos;H. Ngo;P. Kourtessis;S. Chatzinotas;J. Senior
对绿色无线通信日益增长的需求以及有前景的无蜂窝 (CF) 大规模多输入多输出 (mMIMO) 系统在实现最佳能源效率 (EE) 方面的优势是这项工作的重点。具体来说，尽管以前的工作假设接入点（AP）的位置统一，但我们认为它们的位置遵循泊松点过程（PPP），该过程接近其机会主义空间随机性。基于随机几何，我们推导了平均频谱效率的下界，并在 CF mMIMO 系统的实际功耗模型下，制定了 EE 最大化问题，以闭合形式获得导频复用因子和 AP 密度方面的单位面积最优 EE。请注意，我们定义了每单位面积的 EE，而不仅仅是 EE 来表征多点传输系统中的能量。因此，我们为节能 CF mMIMO 系统提供了重要的设计见解。
The increasing demand for green wireless communications and the benefits of the promising cell-free (CF) massive multiple-input-multiple-output (mMIMO) systems towards their optimal energy efficiency (EE) are the focal points of this work. Specifically, despite previous works assuming a uniform placement for the access points (APs), we consider that their locations follow a Poisson point process (PPP) which approaches their opportunistic spatial randomness. Based on stochastic geometry, we derive a lower bound on the average spectral efficiency, and under a realistic power consumption model for CF mMIMO systems, we formulate an EE maximization problem achieving to obtain in closed form the optimal EE per unit area in terms of the pilot reuse factor and the AP density. Note that we have defined the EE per unit area and not just the EE to characterize the energy in systems with multi-point transmission. Thus, we provide important design insights for energy-efficient CF mMIMO systems.