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.
翻译:在这项工作中,当基地站使用大量配备低分辨率模拟数字转换器和数字对分析转换器的天线时,我们提出了一个协调光束成形和动力分配的解决办法。我们解决了以目标信号对干涉和噪声比(SINR)限制为对象的粗微四分化上链和下链(DL)通信系统的全功率最小化问题。通过将UL问题与最小平均平方差组合结合并得出DL问题的Lagrangian双倍值,我们证明UL-DL是双重的,并表明即使与粗略数据转换器也不存在双重性差距。由于强大的双重性,我们设计了一个迭代算法来确定最佳UL传输力,然后用适当的重量线性扩大UL组合,以获得最佳的DL预对码器。模拟结果验证了强大的双重性,并评估了在总电耗量和达到SINR方面的拟议方法。