Reference : Robust SINR-Constrained Symbol-Level Multiuser Precoding With Imperfect Channel Knowledge
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/43234
Robust SINR-Constrained Symbol-Level Multiuser Precoding With Imperfect Channel Knowledge
English
Haqiqatnejad, Alireza mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Kayhan, Farbod mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
5-Mar-2020
IEEE Transactions on Signal Processing
Institute of Electrical and Electronics Engineers
68
1
1837-1852
Yes
International
1053-587X
United States
[en] Downlink MU-MISO ; imperfect CSI ; symbol-level precoding ; stochastic optimization ; stochastic robust design
[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.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/43234
10.1109/TSP.2020.2978591
https://ieeexplore.ieee.org/document/9025051
FnR ; FNR11332341 > Farbod Kayhan > ESSTIMS > Enhanced Signal Space opTImization for satellite comMunication Systems > 01/02/2017 > 31/01/2020 > 2016

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
SLP_ROBUST.pdfAuthor preprint2.53 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.