[en] 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 relaxation parameter, compared to the original problem.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Disciplines :
Electrical & electronics engineering
Author, co-author :
Haqiqatnejad, Alireza ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Shahbazpanahi, Shahram ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) ; University of Ontario Institute of Technology > Department of Electrical, Computer, and Software Engineering
Ottersten, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
A Worst-Case Performance Optimization Based Design Approach to Robust Symbol-Level Precoding for Downlink MU-MIMO
Publication date :
2020
Event name :
7th IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Event organizer :
IEEE
Event place :
Ottawa, Canada
Event date :
from 11-11-2019 to 14-11-2019
Audience :
International
Main work title :
IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa 11-14 November 2019
Publisher :
IEEE
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR11332341 - Enhanced Signal Space Optimization For Satellite Communication Systems, 2016 (01/02/2017-31/01/2020) - Farbod Kayhan
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