### Abstract

We consider the problem of designing signals to transmit over the MIMO interference channel by extending the Max SINR algorithm. The Max SINR algorithm starts with arbitrary beamformers and then designs optimal receivers to maximize the SINR at each receiver. The Max SINR algorithm then alternates the direction of communication and repeats this process. This algorithm is known to perform well but there is no proof that it converges. We propose a modification to Max SINR using a power control step to make a metric similar to the sum rate converge. If we also use successive interference cancellation(SIC), then our metric is exactly the sum rate. We show via simulations that performance of the modified Max SINR algorithm, unlike the other convergent alternatives, is nearly identical to that of the original Max SINR algorithm.

Original language | English (US) |
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Title of host publication | 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011 |

Pages | 2208-2212 |

Number of pages | 5 |

DOIs | |

State | Published - Oct 26 2011 |

Event | 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011 - St. Petersburg, Russian Federation Duration: Jul 31 2011 → Aug 5 2011 |

### Publication series

Name | IEEE International Symposium on Information Theory - Proceedings |
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ISSN (Print) | 2157-8104 |

### Other

Other | 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011 |
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Country | Russian Federation |

City | St. Petersburg |

Period | 7/31/11 → 8/5/11 |

### Fingerprint

### Keywords

- interference channels
- iterative algorithms
- throughput
- wireless networks

### ASJC Scopus subject areas

- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Applied Mathematics

### Cite this

*2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011*(pp. 2208-2212). [6033952] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2011.6033952

**A convergent version of Max SINR for the MIMO interference channel.** / Wilson, Craig; Veeravalli, Venugopal Varadachari.

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

*2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011.*, 6033952, IEEE International Symposium on Information Theory - Proceedings, pp. 2208-2212, 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011, St. Petersburg, Russian Federation, 7/31/11. https://doi.org/10.1109/ISIT.2011.6033952

}

TY - GEN

T1 - A convergent version of Max SINR for the MIMO interference channel

AU - Wilson, Craig

AU - Veeravalli, Venugopal Varadachari

PY - 2011/10/26

Y1 - 2011/10/26

N2 - We consider the problem of designing signals to transmit over the MIMO interference channel by extending the Max SINR algorithm. The Max SINR algorithm starts with arbitrary beamformers and then designs optimal receivers to maximize the SINR at each receiver. The Max SINR algorithm then alternates the direction of communication and repeats this process. This algorithm is known to perform well but there is no proof that it converges. We propose a modification to Max SINR using a power control step to make a metric similar to the sum rate converge. If we also use successive interference cancellation(SIC), then our metric is exactly the sum rate. We show via simulations that performance of the modified Max SINR algorithm, unlike the other convergent alternatives, is nearly identical to that of the original Max SINR algorithm.

AB - We consider the problem of designing signals to transmit over the MIMO interference channel by extending the Max SINR algorithm. The Max SINR algorithm starts with arbitrary beamformers and then designs optimal receivers to maximize the SINR at each receiver. The Max SINR algorithm then alternates the direction of communication and repeats this process. This algorithm is known to perform well but there is no proof that it converges. We propose a modification to Max SINR using a power control step to make a metric similar to the sum rate converge. If we also use successive interference cancellation(SIC), then our metric is exactly the sum rate. We show via simulations that performance of the modified Max SINR algorithm, unlike the other convergent alternatives, is nearly identical to that of the original Max SINR algorithm.

KW - interference channels

KW - iterative algorithms

KW - throughput

KW - wireless networks

UR - http://www.scopus.com/inward/record.url?scp=80054830127&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054830127&partnerID=8YFLogxK

U2 - 10.1109/ISIT.2011.6033952

DO - 10.1109/ISIT.2011.6033952

M3 - Conference contribution

AN - SCOPUS:80054830127

SN - 9781457705953

T3 - IEEE International Symposium on Information Theory - Proceedings

SP - 2208

EP - 2212

BT - 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011

ER -