Block Diagonalization Precoding and Power Allocation for Multiple-Antenna Systems With Coarsely Quantized Signals

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.