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A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO

Citation Author(s):
Shahram Shahbazpanahi, Bjorn Ottersten
Submitted by:
Alireza Haqiqatnejad
Last updated:
18 November 2019 - 1:04pm
Document Type:
Presentation Slides
Document Year:
Presenters Name:
Alireza Haqiqatnejad
Paper Code:



This paper addresses the optimization problem of symbol-level precoding (SLP) in the downlink of a multiuser multiple-input multiple-output (MU-MIMO) wireless system while the precoder’s output is subject to partially-known distortions. In particular, we assume a linear distortion model with bounded additive noise. The original signal-to-interference-plus-noise ratio (SINR) -constrained SLP problem minimizing the total transmit power is first reformulated as a penalized unconstrained problem, which is referred to as the relaxed robust formulation. We
then adopt a worst-case design approach to protect the users’ intended symbols and the targeted constructive interference with a desired level of confidence. Due to the non-convexity of the relaxed robust formulation,
we propose an iterative algorithm based on the block coordinate ascent-descent method. We show through simulation results that the proposed robust design is flexible in the sense that the CI constraints can be relaxed so as to keep a desirable balance between achievable rate and power consumption. Remarkably, the new formulation yields more energy-efficient solutions for appropriate choices of the penalty parameter, compared to the original SLP problem.

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