AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR

Hamdi Joudeh; Bruno Clerckx

doi:10.1109/GLOCOM.2014.7037317

AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR

Hamdi Joudeh
, Bruno Clerckx

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

6 Citations (Scopus)

Abstract

In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.

Original language	English
Title of host publication	2014 IEEE Global Communications Conference
Publisher	Institute of Electrical and Electronics Engineers
Pages	3308-3313
Number of pages	6
ISBN (Electronic)	978-1-4799-3512-3
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037317
Publication status	Published - 12 Feb 2015
Externally published	Yes
Event	2014 IEEE Global Communications Conference (GLOBECOM 2014) - Hilton Austin, Austin, United States Duration: 8 Dec 2014 → 12 Dec 2014 http://globecom2014.ieee-globecom.org/

Conference

Conference	2014 IEEE Global Communications Conference (GLOBECOM 2014)
Abbreviated title	GLOBECOM 2014
Country/Territory	United States
City	Austin
Period	8/12/14 → 12/12/14
Internet address	http://globecom2014.ieee-globecom.org/

Keywords

AMMSE
Imperfect CSIT
Robust Design

Access to Document

10.1109/GLOCOM.2014.7037317

Cite this

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title = "AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR",

abstract = "In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.",

keywords = "AMMSE, Imperfect CSIT, Robust Design",

author = "Hamdi Joudeh and Bruno Clerckx",

year = "2015",

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doi = "10.1109/GLOCOM.2014.7037317",

language = "English",

pages = "3308--3313",

booktitle = "2014 IEEE Global Communications Conference",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2014 IEEE Global Communications Conference (GLOBECOM 2014), GLOBECOM 2014 ; Conference date: 08-12-2014 Through 12-12-2014",

url = "http://globecom2014.ieee-globecom.org/",

}

Joudeh, H & Clerckx, B 2015, AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR. in 2014 IEEE Global Communications Conference., 7037317, Institute of Electrical and Electronics Engineers, pp. 3308-3313, 2014 IEEE Global Communications Conference (GLOBECOM 2014), Austin, United States, 8/12/14. https://doi.org/10.1109/GLOCOM.2014.7037317

TY - GEN

T1 - AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR

AU - Joudeh, Hamdi

AU - Clerckx, Bruno

PY - 2015/2/12

Y1 - 2015/2/12

N2 - In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.

AB - In this paper, we consider the design of robust linear precoders for MU-MISO systems where users have perfect Channel State Information (CSI) while the BS has partial CSI. In particular, the BS has access to imperfect estimates of the channel vectors, in addition to the covariance matrices of the estimation error vectors. A closed-form expression for the Average Minimum Mean Square Error (AMMSE) is obtained using the second order Taylor Expansion. This approximation is used to formulate two fairness-based robust design problems: a maximum AMMSE-constrained problem and a power-constrained problem. We propose an algorithm based on convex optimization techniques to address the first problem, while the second problem is tackled by exploiting the close relationship between the two problems, in addition to their monotonie natures.

KW - AMMSE

KW - Imperfect CSIT

KW - Robust Design

UR - https://www.scopus.com/pages/publications/84949922288

U2 - 10.1109/GLOCOM.2014.7037317

DO - 10.1109/GLOCOM.2014.7037317

M3 - Conference contribution

AN - SCOPUS:84949922288

SP - 3308

EP - 3313

BT - 2014 IEEE Global Communications Conference

PB - Institute of Electrical and Electronics Engineers

T2 - 2014 IEEE Global Communications Conference (GLOBECOM 2014)

Y2 - 8 December 2014 through 12 December 2014

ER -

AMMSE optimization for multiuser MISO systems with imperfect CSIT and perfect CSIR

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Conference

Keywords

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