  In this work, we present block diagonalization and power allocation
algorithms for large-scale multiple-antenna systems with coarsely quantized
signals. In particular, we develop Coarse Quantization-Aware Block
Diagonalization ${\scriptstyle\mathrm{\left(CQA-BD\right)}}$ and Coarse
Quantization-Aware Regularized Block Diagonalization
${\scriptstyle\mathrm{\left(CQA-RBD\right)}}$ precoding algorithms that employ
the Bussgang decomposition and can mitigate the effects of low-resolution
signals and interference. Moreover, we also devise the Coarse
Quantization-Aware Most Advantageous Allocation Strategy
${\scriptstyle\mathrm{\left(CQA-MAAS\right)}}$ power allocation algorithm to
improve the sum rate of precoders that operate with low-resolution signals. An
analysis of the sum-rate performance is carried out along with computational
complexity and power consumption studies of the proposed and existing
techniques. Simulation results illustrate the performance of the proposed
${\scriptstyle\mathrm{CQA-BD}}$ and ${\scriptstyle\mathrm{CQA-RBD}}$ precoding
algorithms, and the proposed ${\scriptstyle\mathrm{CQA-MAAS}}$ power allocation
strategy against existing approaches.
