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A Robust Transmission Strategy for Multi-Cell Interference Networks

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A Robust Transmission Strategy for Multi-Cell Interference Networks. / Le, Anh Tuan; Nakhai, Mohammad Reza; Navaie, Keivan.

2015 IEEE Global Communications Conference (GLOBECOM) . California : IEEE, 2015. p. 1-6.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Le, AT, Nakhai, MR & Navaie, K 2015, A Robust Transmission Strategy for Multi-Cell Interference Networks. in 2015 IEEE Global Communications Conference (GLOBECOM) . IEEE, California, pp. 1-6. https://doi.org/10.1109/GLOCOM.2014.7417142

APA

Le, A. T., Nakhai, M. R., & Navaie, K. (2015). A Robust Transmission Strategy for Multi-Cell Interference Networks. In 2015 IEEE Global Communications Conference (GLOBECOM) (pp. 1-6). IEEE. https://doi.org/10.1109/GLOCOM.2014.7417142

Vancouver

Le AT, Nakhai MR, Navaie K. A Robust Transmission Strategy for Multi-Cell Interference Networks. In 2015 IEEE Global Communications Conference (GLOBECOM) . California: IEEE. 2015. p. 1-6 https://doi.org/10.1109/GLOCOM.2014.7417142

Author

Le, Anh Tuan ; Nakhai, Mohammad Reza ; Navaie, Keivan. / A Robust Transmission Strategy for Multi-Cell Interference Networks. 2015 IEEE Global Communications Conference (GLOBECOM) . California : IEEE, 2015. pp. 1-6

Bibtex

@inproceedings{8771a7e3f57941e5b45f00641c6e64ed,
title = "A Robust Transmission Strategy for Multi-Cell Interference Networks",
abstract = "In this paper, we propose a robust transmission strategy for multi-cell networks equipped with multiple-antenna base stations (BSs) under universal frequency reuse and in the presence of channel estimation error. We propose a distributed optimization scheme, where each BS individually minimizes a combination of its total transmit power and its resulting overall interference inflicted on the users of the adjacent cells, subject to maintaining a desired quality of service at its local users. We transform the proposed scheme to a robust optimization problem for the worst case of errors and derive a semidefinite programming (SDP) using rank-relaxation. We prove that the derived SDP always yields exact rank-one optimal solutions. This is in contrast to the standard rank- relaxed SDP technique that requires an additionally high computational complexity to approximate the solutions with sufficient accuracies, required for an effective beamforming. A comparison of simulation results show that the proposed transmission strategy can expand the signal-to-interference-plus-noise-ratio operational range with significantly reduced power consumption levels at BSs and perform closely to its centralized counterpart.",
author = "Le, {Anh Tuan} and Nakhai, {Mohammad Reza} and Keivan Navaie",
year = "2015",
month = dec
day = "6",
doi = "10.1109/GLOCOM.2014.7417142",
language = "English",
pages = "1--6",
booktitle = "2015 IEEE Global Communications Conference (GLOBECOM)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - A Robust Transmission Strategy for Multi-Cell Interference Networks

AU - Le, Anh Tuan

AU - Nakhai, Mohammad Reza

AU - Navaie, Keivan

PY - 2015/12/6

Y1 - 2015/12/6

N2 - In this paper, we propose a robust transmission strategy for multi-cell networks equipped with multiple-antenna base stations (BSs) under universal frequency reuse and in the presence of channel estimation error. We propose a distributed optimization scheme, where each BS individually minimizes a combination of its total transmit power and its resulting overall interference inflicted on the users of the adjacent cells, subject to maintaining a desired quality of service at its local users. We transform the proposed scheme to a robust optimization problem for the worst case of errors and derive a semidefinite programming (SDP) using rank-relaxation. We prove that the derived SDP always yields exact rank-one optimal solutions. This is in contrast to the standard rank- relaxed SDP technique that requires an additionally high computational complexity to approximate the solutions with sufficient accuracies, required for an effective beamforming. A comparison of simulation results show that the proposed transmission strategy can expand the signal-to-interference-plus-noise-ratio operational range with significantly reduced power consumption levels at BSs and perform closely to its centralized counterpart.

AB - In this paper, we propose a robust transmission strategy for multi-cell networks equipped with multiple-antenna base stations (BSs) under universal frequency reuse and in the presence of channel estimation error. We propose a distributed optimization scheme, where each BS individually minimizes a combination of its total transmit power and its resulting overall interference inflicted on the users of the adjacent cells, subject to maintaining a desired quality of service at its local users. We transform the proposed scheme to a robust optimization problem for the worst case of errors and derive a semidefinite programming (SDP) using rank-relaxation. We prove that the derived SDP always yields exact rank-one optimal solutions. This is in contrast to the standard rank- relaxed SDP technique that requires an additionally high computational complexity to approximate the solutions with sufficient accuracies, required for an effective beamforming. A comparison of simulation results show that the proposed transmission strategy can expand the signal-to-interference-plus-noise-ratio operational range with significantly reduced power consumption levels at BSs and perform closely to its centralized counterpart.

U2 - 10.1109/GLOCOM.2014.7417142

DO - 10.1109/GLOCOM.2014.7417142

M3 - Conference contribution/Paper

SP - 1

EP - 6

BT - 2015 IEEE Global Communications Conference (GLOBECOM)

PB - IEEE

CY - California

ER -