Symbol-Level Precoding is Symbol-Perturbed zf When Energy Efficiency is Sought

Yatao Liu; Wing-Kin Ma

ICASSP 2018accepted0 citations

Symbol-Level Precoding is Symbol-Perturbed zf When Energy Efficiency is Sought

Abstract

This paper considers symbol-level precoding (SLP) for multiuser multiple-input single-output (MISO) downlink. SLP is a nonlinear precoding scheme that utilizes symbol constellation structures. It has been shown that SLP can outperform the popular linear beamforming scheme. In this work we reveal a hidden connection between SLP and linear beamforming. We show that under an energy minimization design, SLP is equivalent to a zero-forcing (ZF) beamforming scheme with perturbations on symbols. This identity gives new insights and they are discussed in the paper. As a side contribution, this work also develops a symbol error probability (SEP)-constrained SLP design formulation under quadrature amplitude modulation (QAM) constellations.

BibTeX

@inproceedings{icassp2018_symbollevelpreco,
  title = {Symbol-Level Precoding is Symbol-Perturbed zf When Energy Efficiency is Sought},
  author = {Yatao Liu and Wing-Kin Ma},
  booktitle = {ICASSP 2018},
  year = {2018}
}