Article (Scientific journals)
Robust SINR-Constrained Symbol-Level Multiuser Precoding With Imperfect Channel Knowledge
HAQIQATNEJAD, Alireza; KAYHAN, Farbod; OTTERSTEN, Björn
2020In IEEE Transactions on Signal Processing, 68 (1), p. 1837-1852
Peer Reviewed verified by ORBi
 

Files


Full Text
SLP_ROBUST.pdf
Author preprint (2.59 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Downlink MU-MISO; imperfect CSI; symbol-level precoding; stochastic optimization; stochastic robust design
Abstract :
[en] In this paper, we address robust design of symbol-level precoding (SLP) for the downlink of multiuser multiple-input single-output wireless channels, when imperfect channel state information (CSI) is available at the transmitter. In particular, we consider a well known model for the CSI imperfection, namely, stochastic Gaussian-distributed uncertainty. Our design objective is to minimize the total (per-symbol) transmission power subject to constructive interference (CI) constraints as well as the users’ quality-of-service requirements in terms of signal-to-interference-plus-noise ratio. Assuming stochastic channel uncertainties, we first define probabilistic CI constraints in order to achieve robustness to statistically known CSI errors. Since these probabilistic constraints are difficult to handle, we resort to their convex approximations in the form of tractable (deterministic) robust constraints. Three convex approximations are obtained based on different conservatism levels, among which one is introduced as a benchmark for comparison. We show that each of our proposed approximations is tighter than the other under specific robustness settings, while both of them always outperform the benchmark. Using the proposed CI constraints, we formulate the robust SLP optimization problem as a second-order cone program. Extensive simulation results are provided to validate our analytic discussions and to make comparisons with conventional block-level robust precoding schemes. We show that the robust design of symbol-level precoder leads to an improved performance in terms of energy efficiency at the cost of increasing the computational complexity by an order of the number of users in the large system limit, compared to its non-robust counterpart.
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)
KAYHAN, Farbod ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
OTTERSTEN, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Robust SINR-Constrained Symbol-Level Multiuser Precoding With Imperfect Channel Knowledge
Publication date :
05 March 2020
Journal title :
IEEE Transactions on Signal Processing
ISSN :
1053-587X
Publisher :
Institute of Electrical and Electronics Engineers, United States
Volume :
68
Issue :
1
Pages :
1837-1852
Peer reviewed :
Peer Reviewed verified by ORBi
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
Available on ORBilu :
since 21 May 2020

Statistics


Number of views
166 (27 by Unilu)
Number of downloads
110 (10 by Unilu)

Scopus citations®
 
18
Scopus citations®
without self-citations
18
OpenAlex citations
 
21
WoS citations
 
15

Bibliography


Similar publications



Contact ORBilu