Mixed norm minimization for MIMO cellular interference channel

Huiqin Du; Tharm Ratnarajah; Mathini Sellathurai; Jonathon Chambers

doi:10.1109/SPAWC.2015.7227115

Mixed norm minimization for MIMO cellular interference channel

Huiqin Du, Tharm Ratnarajah, Mathini Sellathurai, Jonathon Chambers

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

Abstract

This paper considers a multiple-input multiple-output (MIMO) cellular interference channel. In order to exploit the maximum degrees of freedom, the rank constrained rank minimization (RCRM) framework is adopted to formulate the interference alignment for the MIMO cellular network. Considering the practical signal-To-noise ratio (SNR) is limited, we propose a joint Frobenius norm and nuclear norm algorithm, which not only maximizes the achievable degrees of freedom but also minimizes the power of the interference matrices. Optimum solutions are iteratively achieved with guaranteed convergence. Simulation results are presented to validate the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015
Publisher	IEEE
Pages	635-639
Number of pages	5
ISBN (Print)	978-1-4799-1931-4
DOIs	https://doi.org/10.1109/SPAWC.2015.7227115
Publication status	Published - 2015
Event	16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015 - Stockholm, Sweden Duration: 28 Jun 2015 → 1 Jul 2015

Conference

Conference	16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015
Abbreviated title	SPAWC 2015
Country/Territory	Sweden
City	Stockholm
Period	28/06/15 → 1/07/15

Keywords

Conferences
Interference channels
MIMO
Minimization
Signal processing algorithms
Signal to noise ratio

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Information Systems

Access to Document

10.1109/SPAWC.2015.7227115

Cite this

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title = "Mixed norm minimization for MIMO cellular interference channel",

abstract = "This paper considers a multiple-input multiple-output (MIMO) cellular interference channel. In order to exploit the maximum degrees of freedom, the rank constrained rank minimization (RCRM) framework is adopted to formulate the interference alignment for the MIMO cellular network. Considering the practical signal-To-noise ratio (SNR) is limited, we propose a joint Frobenius norm and nuclear norm algorithm, which not only maximizes the achievable degrees of freedom but also minimizes the power of the interference matrices. Optimum solutions are iteratively achieved with guaranteed convergence. Simulation results are presented to validate the effectiveness of the proposed algorithm.",

keywords = "Conferences, Interference channels, MIMO, Minimization, Signal processing algorithms, Signal to noise ratio",

author = "Huiqin Du and Tharm Ratnarajah and Mathini Sellathurai and Jonathon Chambers",

year = "2015",

doi = "10.1109/SPAWC.2015.7227115",

language = "English",

isbn = "978-1-4799-1931-4",

pages = "635--639",

booktitle = "IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015",

publisher = "IEEE",

address = "United States",

note = "16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015, SPAWC 2015 ; Conference date: 28-06-2015 Through 01-07-2015",

}

Du, H, Ratnarajah, T, Sellathurai, M & Chambers, J 2015, Mixed norm minimization for MIMO cellular interference channel. in IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015. IEEE, pp. 635-639, 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015, Stockholm, Sweden, 28/06/15. https://doi.org/10.1109/SPAWC.2015.7227115

TY - GEN

T1 - Mixed norm minimization for MIMO cellular interference channel

AU - Du, Huiqin

AU - Ratnarajah, Tharm

AU - Sellathurai, Mathini

AU - Chambers, Jonathon

PY - 2015

Y1 - 2015

N2 - This paper considers a multiple-input multiple-output (MIMO) cellular interference channel. In order to exploit the maximum degrees of freedom, the rank constrained rank minimization (RCRM) framework is adopted to formulate the interference alignment for the MIMO cellular network. Considering the practical signal-To-noise ratio (SNR) is limited, we propose a joint Frobenius norm and nuclear norm algorithm, which not only maximizes the achievable degrees of freedom but also minimizes the power of the interference matrices. Optimum solutions are iteratively achieved with guaranteed convergence. Simulation results are presented to validate the effectiveness of the proposed algorithm.

AB - This paper considers a multiple-input multiple-output (MIMO) cellular interference channel. In order to exploit the maximum degrees of freedom, the rank constrained rank minimization (RCRM) framework is adopted to formulate the interference alignment for the MIMO cellular network. Considering the practical signal-To-noise ratio (SNR) is limited, we propose a joint Frobenius norm and nuclear norm algorithm, which not only maximizes the achievable degrees of freedom but also minimizes the power of the interference matrices. Optimum solutions are iteratively achieved with guaranteed convergence. Simulation results are presented to validate the effectiveness of the proposed algorithm.

KW - Conferences

KW - Interference channels

KW - MIMO

KW - Minimization

KW - Signal processing algorithms

KW - Signal to noise ratio

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U2 - 10.1109/SPAWC.2015.7227115

DO - 10.1109/SPAWC.2015.7227115

M3 - Conference contribution

AN - SCOPUS:84953403988

SN - 978-1-4799-1931-4

SP - 635

EP - 639

BT - IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015

PB - IEEE

T2 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015

Y2 - 28 June 2015 through 1 July 2015

ER -

Mixed norm minimization for MIMO cellular interference channel

Abstract

Conference

Keywords

ASJC Scopus subject areas

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