Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with low-resolution ADC/DAC

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-and-noise ratio (SINR) constraints. By combining the UL problem with the minimum mean square error combiners and by deriving the Lagrangian dual of the DL problem, we prove the UL-DL duality and the existence of no duality gap even with the coarse quantizers. Inspired by the strong duality, we devise a fixed-point algorithm to determine the optimal UL transmit powers, then linearly amplify the UL combiners with proper weights to acquire the optimal DL precoder. Simulation results evaluate the proposed method in terms of total power consumption and achieved SINR.