Study of Linear Precoding and Power Allocation for Large Multiple-Antenna Systems with Coarsely Quantized Signals

TL;DR

This paper investigates coarse quantization-aware precoding and power allocation strategies for large MU-MIMO systems, analyzing sum-rate performance and computational complexity to optimize system efficiency.

Contribution

It introduces the CQA-BD and CQA-RBD precoding algorithms and the CQA-MAAS power allocation method specifically designed for coarsely quantized large-scale MU-MIMO systems.

Findings

CQA-BD and CQA-RBD improve sum-rate performance.

CQA-MAAS optimizes power allocation for quantized systems.

Analysis shows trade-offs between complexity and performance.

Abstract

This work studies coarse quantization-aware BD (${\scriptstyle\mathrm{CQA-BD}}$) and coarse quantization-aware RBD (${\scriptstyle\mathrm{CQA-RBD}}$) precoding algorithms for large-scale MU-MIMO systems with coarsely quantized signals and proposes the coarse-quantization most advantageous allocation strategy (${\scriptstyle\mathrm{CQA-MAAS}}$) power allocation algorithm for linearly-precoded MU-MIMO systems. An analysis of the sum-rate along with studies of computational complexity is also carried out. Finally, comparisons between existing precoding and its power allocated version are followed by conclusions.