Average sum MSE minimization in the multi-user downlink with multiple power constraints

Andreas Grundinger; Michael Joham; José Pablo González-Coma; Luis Castedo; Wolfgang Utschick

doi:10.1109/ACSSC.2014.7094666

Average sum MSE minimization in the multi-user downlink with multiple power constraints

Andreas Grundinger, Michael Joham, José Pablo González-Coma, Luis Castedo, Wolfgang Utschick

Chair of Signal Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

We consider a sum mean square error (SMSE) based transceiver design for the multi-user downlink with multiple linear transmit power constraints. Since the multi-antenna transmitter has only imperfect channel state information (CSI), the average SMSE is minimized via an alternating optimization (AO). For fixed equalizers, the average SMSE minimizing precoders are found via an uplink-downlink SMSE duality. The precoder update therewith transforms to an uplink max-min average SMSE problem, i.e., a minimum mean square error (MMSE) equalizer design and an outer worst-case noise search. This dual problem is optimally solved, e.g., by a gradient projection approach, and strong duality is shown.

Original language	English
Title of host publication	Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	1279-1285
Number of pages	7
ISBN (Electronic)	9781479982974
DOIs	https://doi.org/10.1109/ACSSC.2014.7094666
State	Published - 24 Apr 2015
Event	48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: 2 Nov 2014 → 5 Nov 2014

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2015-April
ISSN (Print)	1058-6393

Conference

Conference	48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	2/11/14 → 5/11/14

Keywords

general power constraints
imperfect CSI
per-antenna constraints
uplink-downlink sum MSE duality

Access to Document

10.1109/ACSSC.2014.7094666

Cite this

Grundinger, A., Joham, M., González-Coma, J. P., Castedo, L., & Utschick, W. (2015). Average sum MSE minimization in the multi-user downlink with multiple power constraints. In M. B. Matthews (Ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers (pp. 1279-1285). Article 7094666 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094666

Grundinger, Andreas ; Joham, Michael ; González-Coma, José Pablo et al. / Average sum MSE minimization in the multi-user downlink with multiple power constraints. Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. editor / Michael B. Matthews. IEEE Computer Society, 2015. pp. 1279-1285 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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title = "Average sum MSE minimization in the multi-user downlink with multiple power constraints",

abstract = "We consider a sum mean square error (SMSE) based transceiver design for the multi-user downlink with multiple linear transmit power constraints. Since the multi-antenna transmitter has only imperfect channel state information (CSI), the average SMSE is minimized via an alternating optimization (AO). For fixed equalizers, the average SMSE minimizing precoders are found via an uplink-downlink SMSE duality. The precoder update therewith transforms to an uplink max-min average SMSE problem, i.e., a minimum mean square error (MMSE) equalizer design and an outer worst-case noise search. This dual problem is optimally solved, e.g., by a gradient projection approach, and strong duality is shown.",

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Grundinger, A, Joham, M, González-Coma, JP, Castedo, L & Utschick, W 2015, Average sum MSE minimization in the multi-user downlink with multiple power constraints. in MB Matthews (ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers., 7094666, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2015-April, IEEE Computer Society, pp. 1279-1285, 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 2/11/14. https://doi.org/10.1109/ACSSC.2014.7094666

Average sum MSE minimization in the multi-user downlink with multiple power constraints. / Grundinger, Andreas; Joham, Michael; González-Coma, José Pablo et al.
Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. ed. / Michael B. Matthews. IEEE Computer Society, 2015. p. 1279-1285 7094666 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We consider a sum mean square error (SMSE) based transceiver design for the multi-user downlink with multiple linear transmit power constraints. Since the multi-antenna transmitter has only imperfect channel state information (CSI), the average SMSE is minimized via an alternating optimization (AO). For fixed equalizers, the average SMSE minimizing precoders are found via an uplink-downlink SMSE duality. The precoder update therewith transforms to an uplink max-min average SMSE problem, i.e., a minimum mean square error (MMSE) equalizer design and an outer worst-case noise search. This dual problem is optimally solved, e.g., by a gradient projection approach, and strong duality is shown.

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Grundinger A, Joham M, González-Coma JP, Castedo L, Utschick W. Average sum MSE minimization in the multi-user downlink with multiple power constraints. In Matthews MB, editor, Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society. 2015. p. 1279-1285. 7094666. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2014.7094666

Average sum MSE minimization in the multi-user downlink with multiple power constraints

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Keywords

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