[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
M. Bengtsson and B. Ottersten, Handbook of Antennas in Wireless Communications, 2001, ch. Optimal and suboptimal transmit beamforming.
C. B. Peel, B. M. Hochwald, and A. L. Swindlehurst, "A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization, " IEEE Trans. Commun., vol. 53, no. 1, pp. 195-202, Jan. 2005.
A. B. Gershman, N. D. Sidiropoulos, S. Shahbazpanahi, M. Bengtsson, and B. Ottersten, "Convex optimization-based beamforming, " IEEE Signal Process. Mag., vol. 27, no. 3, pp. 62-75, May 2010.
M. Schubert and H. Boche, "Solution of the multiuser downlink beamforming problem with individual SINR constraints, " IEEE Trans. Veh. Technol., vol. 53, no. 1, pp. 18-28, Jan. 2004.
C. Masouros and G. Zheng, "Exploiting known interference as green signal power for downlink beamforming optimization, " IEEE Trans. Signal Process., vol. 63, no. 14, pp. 3628-3640, Jul. 2015.
M. Alodeh, S. Chatzinotas, and B. Ottersten, "Constructive multiuser interference in symbol level precoding for the MISO downlink channel, " IEEE Trans. Signal Process., vol. 63, no. 9, pp. 2239-2252, May 2015.
A. Haqiqatnejad, F. Kayhan, and B. Ottersten, "Constructive interference for generic constellations, " IEEE Signal Process. Lett., vol. 25, no. 4, pp. 586-590, Apr. 2018.
R. W. Heath, N. González-Prelcic, S. Rangan, W. Roh, and A. M. Sayeed, "An overview of signal processing techniques for millimeter wave MIMO systems, " IEEE J. Sel. Topics in Signal Process., vol. 10, no. 3, pp. 436-453, Apr. 2016.
A. I. Perez-Neira, M. A. Vazquez, M. R. B. Shankar, S. Maleki, and S. Chatzinotas, "Signal processing for high-throughput satellites: Challenges in new interference-limited scenarios, " IEEE Signal Process. Mag., vol. 36, no. 4, pp. 112-131, Jul. 2019.
K. L. Law and C. Masouros, "Constructive interference exploitation for downlink beamforming based on noise robustness and outage probability, " in 2016 IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), Mar. 2016, pp. 3291-3295.
A. Haqiqatnejad, F. Kayhan, and B. Ottersten, "Robust design of power minimizing symbol-level precoder under channel uncertainty, " in 2018 IEEE Global Commun. Conf. (GLOBECOM), Dec. 2018, pp. 1-6.
M. Biguesh, S. Shahbazpanahi, and A. B. Gershman, "Robust downlink power control in wireless cellular systems, " EURASIP Journal on Wireless Communications and Networking, vol. 2004, pp. 261-272, Dec. 2004.
B. K. Chalise, S. Shahbazpanahi, A. Czylwik, and A. B. Gershman, "Robust downlink beamforming based on outage probability specifications, " IEEE Trans. Wireless Commun., vol. 6, no. 10, pp. 3498-3503, Oct. 2007.
S. Shahbazpanahi, A. B. Gershman, Z.-Q. Luo, and K. M. Wong, "Robust adaptive beamforming for general-rank signal models, " IEEE Trans. Signal Process., vol. 51, no. 9, pp. 2257-2269, Sep. 2003.
S. Vorobyov, "Robust CDMA multiuser detectors: Probability-constrained versus the worst-case-based design, " IEEE Signal Process. Lett., vol. 15, pp. 273-276, Nov. 2008.
S. Vorobyov, H. Chen, and A. Gershman, "On the relationship between robust minimum variance beamformers with probabilistic and worst-case distortionless response constraints, " IEEE Trans. Signal Process., vol. 56, pp. 5719-5724, Nov. 2008.
S. Shahbazpanahi and A. B. Gershman, "Robust blind multiuser detection for synchronous CDMA systems using worst-case performance optimization, " IEEE Trans. Wireless Commun., vol. 3, no. 6, pp. 2232-2245, Nov 2004.
K. Zarifi, S. Shahbazpanahi, A. B. Gershman, and Zhi-Quan Luo, "Robust blind multiuser detection based on the worst-case performance optimization of the MMSE receiver, " IEEE Trans. Signal Process., vol. 53, no. 1, pp. 295-305, Jan 2005.
Yue Rong, S. Shahbazpanahi, and A. B. Gershman, "Robust linear receivers for space-time block coded multiaccess MIMO systems with imperfect channel state information, " IEEE Trans. Signal Process., vol. 53, no. 8, pp. 3081-3090, Aug 2005.
A. Haqiqatnejad, F. Kayhan, and B. Ottersten, "Symbol-level precoding design based on distance preserving constructive interference regions, " IEEE Trans. Signal Process., vol. 66, no. 22, pp. 5817-5832, Nov. 2018.
C. M. Jesús Arnau, Bertrand Devillers and A. Pérez-Neira, "Performance study of multiuser interference mitigation schemes for hybrid broadband multibeam satellite architectures, " EURASIP J. Wirel. Commun. Netw., vol. 2012, no. 1, p. 132, Apr. 2012.
V. Joroughi, M. A. Vazquez, and A. I. Perez-Neira, "Generalized multicast multibeam precoding for satellite communications, " IEEE Trans. Wirel. Commun., vol. 16, no. 2, pp. 952-966, Feb. 2017.
A. Gersho and R. M. Gray, Vector quantization and signal compression. Springer Science & Business Media, 2012, vol. 159.
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, "Robust predictive quantization: Analysis and design via convex optimization, " IEEE J. Sel. Topics Signal Process., vol. 1, no. 4, pp. 618-632, Dec 2007.
A. Haqiqatnejad, S. Shahbazpanahi, F. Kayhan, and B. Ottersten, "Worstcase performance optimization of robust symbol-level multiuser precoding under design uncertainty, " Journal paper, In preparation.
D. R. Hunter and K. Lange, "A tutorial on MM algorithms, " The American Statistician, vol. 58, no. 1, pp. 30-37, 2004.
Y. Sun, P. Babu, and D. P. Palomar, "Majorization-minimization algorithms in signal processing, communications, and machine learning, " IEEE Trans. Signal Process., vol. 65, no. 3, pp. 794-816, Feb. 2017.
S. Jacobsson, G. Durisi, M. Coldrey, U. Gustavsson, and C. Studer, "Throughput analysis of massive MIMO uplink with low-resolution ADCs, " IEEE Trans. Wirel. Commun., vol. 16, no. 6, pp. 4038-4051, Jun. 2017.
