Sum MSE minimization for multipoint-to-multipoint MIMO AF relay systems

Hyun Joo Choi; Changick Song; Haewook Park; Inkyu Lee

doi:10.1109/GLOCOM.2013.6831624

Sum MSE minimization for multipoint-to-multipoint MIMO AF relay systems

Hyun Joo Choi, Changick Song, Haewook Park, Inkyu Lee

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

Abstract

In this paper, we consider multipoint-to-multipoint multi-input multi-output relay systems where multiple source-destination pairs simultaneously communicate through a single multiple antenna relay. In this system configuration, we optimize sum mean-squared-error (MSE). This problem is shown to be non-convex, and thus it is quite complex to find an analytical solution. To address this issue, we first introduce the sum MSE minimization scheme based on global channel state information (CSI) at all nodes. Then, a method which reduces complexity and CSI requirements is proposed by utilizing error covariance decomposition and MSE duality between broadcast channel and multiple access channel. Through numerical simulations, we confirm the effectiveness of our proposed schemes.

Original language	English
Title of host publication	GLOBECOM - IEEE Global Telecommunications Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3553-3558
Number of pages	6
ISBN (Print)	9781479913534
DOIs	https://doi.org/10.1109/GLOCOM.2013.6831624
Publication status	Published - 2013 Jan 1
Event	2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States Duration: 2013 Dec 9 → 2013 Dec 13

Other

Other	2013 IEEE Global Communications Conference, GLOBECOM 2013
Country/Territory	United States
City	Atlanta, GA
Period	13/12/9 → 13/12/13

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/GLOCOM.2013.6831624

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Choi, HJ, Song, C, Park, H & Lee, I 2013, Sum MSE minimization for multipoint-to-multipoint MIMO AF relay systems. in GLOBECOM - IEEE Global Telecommunications Conference., 6831624, Institute of Electrical and Electronics Engineers Inc., pp. 3553-3558, 2013 IEEE Global Communications Conference, GLOBECOM 2013, Atlanta, GA, United States, 13/12/9. https://doi.org/10.1109/GLOCOM.2013.6831624

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abstract = "In this paper, we consider multipoint-to-multipoint multi-input multi-output relay systems where multiple source-destination pairs simultaneously communicate through a single multiple antenna relay. In this system configuration, we optimize sum mean-squared-error (MSE). This problem is shown to be non-convex, and thus it is quite complex to find an analytical solution. To address this issue, we first introduce the sum MSE minimization scheme based on global channel state information (CSI) at all nodes. Then, a method which reduces complexity and CSI requirements is proposed by utilizing error covariance decomposition and MSE duality between broadcast channel and multiple access channel. Through numerical simulations, we confirm the effectiveness of our proposed schemes.",

author = "Choi, {Hyun Joo} and Changick Song and Haewook Park and Inkyu Lee",

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N2 - In this paper, we consider multipoint-to-multipoint multi-input multi-output relay systems where multiple source-destination pairs simultaneously communicate through a single multiple antenna relay. In this system configuration, we optimize sum mean-squared-error (MSE). This problem is shown to be non-convex, and thus it is quite complex to find an analytical solution. To address this issue, we first introduce the sum MSE minimization scheme based on global channel state information (CSI) at all nodes. Then, a method which reduces complexity and CSI requirements is proposed by utilizing error covariance decomposition and MSE duality between broadcast channel and multiple access channel. Through numerical simulations, we confirm the effectiveness of our proposed schemes.

AB - In this paper, we consider multipoint-to-multipoint multi-input multi-output relay systems where multiple source-destination pairs simultaneously communicate through a single multiple antenna relay. In this system configuration, we optimize sum mean-squared-error (MSE). This problem is shown to be non-convex, and thus it is quite complex to find an analytical solution. To address this issue, we first introduce the sum MSE minimization scheme based on global channel state information (CSI) at all nodes. Then, a method which reduces complexity and CSI requirements is proposed by utilizing error covariance decomposition and MSE duality between broadcast channel and multiple access channel. Through numerical simulations, we confirm the effectiveness of our proposed schemes.

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Sum MSE minimization for multipoint-to-multipoint MIMO AF relay systems

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