  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.
