Mixed norm minimization for MIMO cellular interference channel

Huiqin Du, Tharm Ratnarajah, Mathini Sellathurai, Jonathon Chambers

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationIEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015
PublisherIEEE
Pages635-639
Number of pages5
ISBN (Print)978-1-4799-1931-4
DOIs
Publication statusPublished - 2015
Event16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015 - Stockholm, Sweden
Duration: 28 Jun 20151 Jul 2015

Conference

Conference16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015
Abbreviated titleSPAWC 2015
CountrySweden
CityStockholm
Period28/06/151/07/15

Fingerprint

Signal to noise ratio

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

Cite this

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 (pp. 635-639). IEEE. https://doi.org/10.1109/SPAWC.2015.7227115
Du, Huiqin ; Ratnarajah, Tharm ; Sellathurai, Mathini ; Chambers, Jonathon. / Mixed norm minimization for MIMO cellular interference channel. IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015. IEEE, 2015. pp. 635-639
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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

Mixed norm minimization for MIMO cellular interference channel. / Du, Huiqin; Ratnarajah, Tharm; Sellathurai, Mathini; Chambers, Jonathon.

IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015. IEEE, 2015. p. 635-639.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.

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