论文标题
与低分辨率ADC/DAC的大规模MIMO的协调多晶体边界和功率分配
Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with Low-Resolution ADC/DAC
论文作者
论文摘要
在这项工作中，当基站采用大量配备了低分辨率类似物对数字和数字到数字的天线时，我们提出了一种用于协调波束形成和功率分配的解决方案。我们解决了具有目标信噪比噪声比率（SINR）约束的粗细上行链路（UL）和下行链路（DL）通信系统的总功率最小化问题。通过将UL问题与最小平方误差组合器相结合并得出DL问题的拉格朗日双重双重双重，我们证明了UL-DL二元性，即使使用粗数据转换器，也没有二元性差距。受强双重性的启发，我们设计了一种迭代算法来确定最佳UL传输功率，然后用适当的权重将UL组合器线性放大以获取最佳的DL预码器。仿真结果验证了强双重性，并根据总功耗和实现SINR评估了所提出的方法。
In this work, we present a solution for coordinated beamforming and power allocation when base stations employ a massive number of antennas equipped with low-resolution analog-to-digital and digital-to-analog converters. We address total power minimization problems of the coarsely quantized uplink (UL) and downlink (DL) communication systems with target signal-to-interference-plus-noise ratio (SINR) constraints. By combining the UL problem with minimum mean square error combiners and deriving the Lagrangian dual of the DL problem, we prove UL-DL duality and show there is no duality gap even with coarse data converters. Inspired by strong duality, we devise an iterative algorithm to determine the optimal UL transmit powers, and then linearly amplify the UL combiners with proper weights to acquire the optimal DL precoder. Simulation results validate strong duality and evaluate the proposed method in terms of total power consumption and achieved SINR.
