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

Hamdi Joudeh; Bruno Clercks

doi:10.1109/GLOCOM.2014.7037317

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

Hamdi Joudeh, Bruno Clercks

School of Electrical Engineering

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

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, GLOBECOM 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3308-3313
Number of pages	6
ISBN (Electronic)	9781479935116
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037317
Publication status	Published - 2014 Feb 9
Event	2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: 2014 Dec 8 → 2014 Dec 12

Other

Other	2014 IEEE Global Communications Conference, GLOBECOM 2014
Country/Territory	United States
City	Austin
Period	14/12/8 → 14/12/12

Keywords

AMMSE
Imperfect CSIT
Robust Design

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Networks and Communications
Communication

Access to Document

10.1109/GLOCOM.2014.7037317

Cite this

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

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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.

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KW - Robust Design

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

Abstract

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Keywords

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