In this paper, the zero-forcing (ZF) precoder with max-min power allocation is proposed for cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems using low-resolution digital-to-analog converters (DACs) with limited-capacity fronthaul links. The proposed power allocation aims to achieve max-min fairness on the achievable rate lower bounds of the users obtained by the additive quantization noise model (AQNM), which mimics the effect of low-resolution DACs. To solve the max-min power allocation problem, an alternating optimization (AO) method is proposed, which is guaranteed to converge because the global optima of the subproblems that constitute the original problem are attained at each AO iteration. The performance of cell-free and small-cell systems is explored in the simulation results, which suggest that not-too-small fronthaul capacity suffices for cell-free systems to outperform small-cell systems.
翻译:在本文中,建议对使用低分辨率数字到分析转换器(DACs)的无电量最大多输出多输出(MIMO)系统使用最大功率分配的零强制(ZF)预编码器,使用容量有限的前厅链接的低分辨率数字到分析转换器(DACs),为无电量最大多投入多输出(MIMO)系统提供零强制(ZF)预编码器。拟议的电力分配旨在对通过添加定量噪声模型(AQNM)获得的用户可实现的较低比率实现最大公平性,该模型模仿了低分辨率电源分配的影响。为了解决最大功率分配问题,建议了交替优化(AO)方法,因为构成原始问题的子问题的全球选择在每次自动循环中都得到实现。模拟结果中探讨了无电量和小型电池系统的性能,这表明无电量和小型电池系统的性能不小,不小前厅能力足以使无电池系统超越小型系统。