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

Chair of Signal Processing

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

2 Scopus citations

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.

Original language	English
Title of host publication	SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509017492
DOIs	https://doi.org/10.1109/SPAWC.2016.7536770
State	Published - 9 Aug 2016
Event	17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 - Edinburgh, United Kingdom Duration: 3 Jul 2016 → 6 Jul 2016

Publication series

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

Conference

Conference	17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Country/Territory	United Kingdom
City	Edinburgh
Period	3/07/16 → 6/07/16

Keywords

Lagrangian uplink-downlink duality
MSE balancing
general power constraints
imperfect transmitter CSI

Access to Document

10.1109/SPAWC.2016.7536770

Cite this

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 Article 7536770 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 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).

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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",

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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, vol. 2016-August, Institute of Electrical and Electronics Engineers Inc., 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016, Edinburgh, United Kingdom, 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; Vol. 2016-August).

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

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

AU - Gonzalez-Coma, Jose P.

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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.

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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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