Multi-stream MIMO MSE balancing with generalized power constraints

Jose P. Gonzalez-Coma; Andreas Grundinger; Michael Joham; Luis Castedo Ribas; Wolfgang Utschick

doi:10.1109/SPAWC.2016.7536770

Multi-stream MIMO MSE balancing with generalized power constraints

Jose P. Gonzalez-Coma, Andreas Grundinger, Michael Joham, Luis Castedo Ribas, Wolfgang Utschick

Lehrstuhl für Methoden der Signalverarbeitung

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

2 Zitate (Scopus)

Abstract

This work focuses on the Multiple-Input Multiple-Output (MIMO) Broadcast Channel (BC) assuming imperfect Channel State Information (CSI) is assumed at the transmitter side. For such a scenario, we propose to balance the average Mean Square Error (MSE) for all the users under generalized power constraints using an Alternating Optimization (AO) approach. For given receive filters, we find the precoders in the BC via a dual formulation in the Multiple Access Channel (MAC). Strong duality holds between the primal and the dual problem. We solve the latter by means of a projected gradient algorithm. After convergence, the solution for the original MSE balancing formulation is obtained.

Originalsprache	Englisch
Titel	SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)	9781509017492
DOIs	https://doi.org/10.1109/SPAWC.2016.7536770
Publikationsstatus	Veröffentlicht - 9 Aug. 2016
Veranstaltung	17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 - Edinburgh, Großbritannien/Vereinigtes Königreich Dauer: 3 Juli 2016 → 6 Juli 2016

Publikationsreihe

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Band	2016-August

Konferenz

Konferenz	17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Land/Gebiet	Großbritannien/Vereinigtes Königreich
Ort	Edinburgh
Zeitraum	3/07/16 → 6/07/16

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10.1109/SPAWC.2016.7536770

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Gonzalez-Coma, J. P., Grundinger, A., Joham, M., Ribas, L. C., & Utschick, W. (2016). Multi-stream MIMO MSE balancing with generalized power constraints. in SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications Artikel 7536770 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Band 2016-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2016.7536770

Gonzalez-Coma, Jose P. ; Grundinger, Andreas ; Joham, Michael et al. / Multi-stream MIMO MSE balancing with generalized power constraints. SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications. Institute of Electrical and Electronics Engineers Inc., 2016. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

@inproceedings{96612404fd6240dd84dbd9b3d3110773,

title = "Multi-stream MIMO MSE balancing with generalized power constraints",

abstract = "This work focuses on the Multiple-Input Multiple-Output (MIMO) Broadcast Channel (BC) assuming imperfect Channel State Information (CSI) is assumed at the transmitter side. For such a scenario, we propose to balance the average Mean Square Error (MSE) for all the users under generalized power constraints using an Alternating Optimization (AO) approach. For given receive filters, we find the precoders in the BC via a dual formulation in the Multiple Access Channel (MAC). Strong duality holds between the primal and the dual problem. We solve the latter by means of a projected gradient algorithm. After convergence, the solution for the original MSE balancing formulation is obtained.",

keywords = "Lagrangian uplink-downlink duality, MSE balancing, general power constraints, imperfect transmitter CSI",

author = "Gonzalez-Coma, {Jose P.} and Andreas Grundinger and Michael Joham and Ribas, {Luis Castedo} and Wolfgang Utschick",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 ; Conference date: 03-07-2016 Through 06-07-2016",

year = "2016",

month = aug,

day = "9",

doi = "10.1109/SPAWC.2016.7536770",

language = "English",

series = "IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Gonzalez-Coma, JP, Grundinger, A, Joham, M, Ribas, LC & Utschick, W 2016, Multi-stream MIMO MSE balancing with generalized power constraints. in SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications., 7536770, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Bd. 2016-August, Institute of Electrical and Electronics Engineers Inc., 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016, Edinburgh, Großbritannien/Vereinigtes Königreich, 3/07/16. https://doi.org/10.1109/SPAWC.2016.7536770

Multi-stream MIMO MSE balancing with generalized power constraints. / Gonzalez-Coma, Jose P.; Grundinger, Andreas; Joham, Michael et al.
SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications. Institute of Electrical and Electronics Engineers Inc., 2016. 7536770 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Band 2016-August).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Multi-stream MIMO MSE balancing with generalized power constraints

AU - Gonzalez-Coma, Jose P.

AU - Grundinger, Andreas

AU - Joham, Michael

AU - Ribas, Luis Castedo

AU - Utschick, Wolfgang

PY - 2016/8/9

Y1 - 2016/8/9

N2 - This work focuses on the Multiple-Input Multiple-Output (MIMO) Broadcast Channel (BC) assuming imperfect Channel State Information (CSI) is assumed at the transmitter side. For such a scenario, we propose to balance the average Mean Square Error (MSE) for all the users under generalized power constraints using an Alternating Optimization (AO) approach. For given receive filters, we find the precoders in the BC via a dual formulation in the Multiple Access Channel (MAC). Strong duality holds between the primal and the dual problem. We solve the latter by means of a projected gradient algorithm. After convergence, the solution for the original MSE balancing formulation is obtained.

AB - This work focuses on the Multiple-Input Multiple-Output (MIMO) Broadcast Channel (BC) assuming imperfect Channel State Information (CSI) is assumed at the transmitter side. For such a scenario, we propose to balance the average Mean Square Error (MSE) for all the users under generalized power constraints using an Alternating Optimization (AO) approach. For given receive filters, we find the precoders in the BC via a dual formulation in the Multiple Access Channel (MAC). Strong duality holds between the primal and the dual problem. We solve the latter by means of a projected gradient algorithm. After convergence, the solution for the original MSE balancing formulation is obtained.

KW - Lagrangian uplink-downlink duality

KW - MSE balancing

KW - general power constraints

KW - imperfect transmitter CSI

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T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

BT - SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications

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Gonzalez-Coma JP, Grundinger A, Joham M, Ribas LC, Utschick W. Multi-stream MIMO MSE balancing with generalized power constraints. in SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications. Institute of Electrical and Electronics Engineers Inc. 2016. 7536770. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). doi: 10.1109/SPAWC.2016.7536770

Multi-stream MIMO MSE balancing with generalized power constraints

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