Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation

• Published in: IEEE transactions on signal processing Vol. 70; pp. 1687 - 1703
• Main Authors: Liu, Yatao, Shao, Mingjie, Ma, Wing-Kin, Li, Qiang
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Design criteria; Design optimization; Equivalence; Interference; Minimization; Perturbation; Perturbation methods; Precoding; Quadrature amplitude modulation; Signal to noise ratio; Symbol-error probability; symbol-level precod- ing; Throughput; vector perturbation; zero-forcing
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2022.3150402

Symbol-level precoding (SLP) has recently emerged as a new paradigm for physical-layer transmit precoding in multiuser multi-input-multi-output (MIMO) channels. It exploits the underlying symbol constellation structure, which the conventional paradigm of linear precoding does not, to enhance symbol-level performance such as symbol error probability (SEP). This paper aims to better understand the relationships between SLP and linear precoding, subsequent design implications, and further connections beyond the existing SLP scope. Focused on the quadrature amplitude modulation (QAM) constellations, our study is built on a basic signal observation, namely, that SLP can be equivalently represented by a zero-forcing (ZF) linear precoding scheme augmented with some appropriately chosen symbol-dependent perturbation terms, and that some extended form of SLP is equivalent to a vector perturbation (VP) nonlinear precoding scheme augmented with the above-noted perturbation terms. We examine how insights arising from this perturbed ZF and VP interpretations can be leveraged to i) substantially simplify the optimization of certain SLP design criteria, namely, total or peak power minimization subject to SEP quality guarantees; and ii) draw connections with some existing SLP designs. We also touch on the analysis side by showing that, under total power minimization, the basic ZF scheme is a near-optimal SLP scheme when the QAM order is very high-which gives a vital implication that SLP is more useful for lower-order QAM cases. Numerical results further indicate the merits and limitations of the different SLP designs derived from the perturbed ZF and VP interpretations.