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Chance Constrained Robust Downlink Beamforming in Multicell Networks

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Chance Constrained Robust Downlink Beamforming in Multicell Networks. / Nasseri, Saba; Nakhai, Mohammad Reza; Le, Tuan Anh.

In: IEEE Transactions on Mobile Computing, Vol. 15, No. 11, 11.2016, p. 2682-2691.

Research output: Contribution to journalArticle

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Nasseri, S, Nakhai, MR & Le, TA 2016, 'Chance Constrained Robust Downlink Beamforming in Multicell Networks', IEEE Transactions on Mobile Computing, vol. 15, no. 11, pp. 2682-2691. https://doi.org/10.1109/TMC.2016.2516981

APA

Nasseri, S., Nakhai, M. R., & Le, T. A. (2016). Chance Constrained Robust Downlink Beamforming in Multicell Networks. IEEE Transactions on Mobile Computing, 15(11), 2682-2691. https://doi.org/10.1109/TMC.2016.2516981

Vancouver

Nasseri S, Nakhai MR, Le TA. Chance Constrained Robust Downlink Beamforming in Multicell Networks. IEEE Transactions on Mobile Computing. 2016 Nov;15(11):2682-2691. https://doi.org/10.1109/TMC.2016.2516981

Author

Nasseri, Saba ; Nakhai, Mohammad Reza ; Le, Tuan Anh. / Chance Constrained Robust Downlink Beamforming in Multicell Networks. In: IEEE Transactions on Mobile Computing. 2016 ; Vol. 15, No. 11. pp. 2682-2691.

Bibtex Download

@article{eb4932d3edef4cb29947ac190b91c196,
title = "Chance Constrained Robust Downlink Beamforming in Multicell Networks",
abstract = "We introduce a downlink robust optimization approach that minimizes a combination of total transmit power by a multiple antenna base station (BS) within a cell and the resulting aggregate inter-cell interference (ICI) power on the users of the other cells. This optimization is constrained to assure that a set of signal-to-interference-plus-noise ratio (SINR) targets are met at user terminalswith certain outage probabilities. The outages are due to the uncertainties that naturally emerge in the estimation of channel covariance matrices between a BS and its intra-cell local users as well as the other users of the other cells. We model these uncertainties using random matrices, analyze their statistical behaviour and formulate a tractable probabilistic approach to the designof optimal robust downlink beamforming vectors. The proposed approach reformulates the original intractable non-convex problem in a semidefinite programming (SDP) form with linear matrix inequality (LMI) constraints. The resulting SDP formulation is convex and numerically tractable under the standard rank relaxation. We compare the proposed chance-constrained approach against two different robust design schemes as well as the worst-case robustness. The simulation results confirm better power efficiency and higherresilience against channel uncertainties of the proposed approach in realistic scenarios.",
author = "Saba Nasseri and Nakhai, {Mohammad Reza} and Le, {Tuan Anh}",
year = "2016",
month = "11",
doi = "10.1109/TMC.2016.2516981",
language = "English",
volume = "15",
pages = "2682--2691",
journal = "IEEE Transactions on Mobile Computing",
issn = "1536-1233",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Chance Constrained Robust Downlink Beamforming in Multicell Networks

AU - Nasseri, Saba

AU - Nakhai, Mohammad Reza

AU - Le, Tuan Anh

PY - 2016/11

Y1 - 2016/11

N2 - We introduce a downlink robust optimization approach that minimizes a combination of total transmit power by a multiple antenna base station (BS) within a cell and the resulting aggregate inter-cell interference (ICI) power on the users of the other cells. This optimization is constrained to assure that a set of signal-to-interference-plus-noise ratio (SINR) targets are met at user terminalswith certain outage probabilities. The outages are due to the uncertainties that naturally emerge in the estimation of channel covariance matrices between a BS and its intra-cell local users as well as the other users of the other cells. We model these uncertainties using random matrices, analyze their statistical behaviour and formulate a tractable probabilistic approach to the designof optimal robust downlink beamforming vectors. The proposed approach reformulates the original intractable non-convex problem in a semidefinite programming (SDP) form with linear matrix inequality (LMI) constraints. The resulting SDP formulation is convex and numerically tractable under the standard rank relaxation. We compare the proposed chance-constrained approach against two different robust design schemes as well as the worst-case robustness. The simulation results confirm better power efficiency and higherresilience against channel uncertainties of the proposed approach in realistic scenarios.

AB - We introduce a downlink robust optimization approach that minimizes a combination of total transmit power by a multiple antenna base station (BS) within a cell and the resulting aggregate inter-cell interference (ICI) power on the users of the other cells. This optimization is constrained to assure that a set of signal-to-interference-plus-noise ratio (SINR) targets are met at user terminalswith certain outage probabilities. The outages are due to the uncertainties that naturally emerge in the estimation of channel covariance matrices between a BS and its intra-cell local users as well as the other users of the other cells. We model these uncertainties using random matrices, analyze their statistical behaviour and formulate a tractable probabilistic approach to the designof optimal robust downlink beamforming vectors. The proposed approach reformulates the original intractable non-convex problem in a semidefinite programming (SDP) form with linear matrix inequality (LMI) constraints. The resulting SDP formulation is convex and numerically tractable under the standard rank relaxation. We compare the proposed chance-constrained approach against two different robust design schemes as well as the worst-case robustness. The simulation results confirm better power efficiency and higherresilience against channel uncertainties of the proposed approach in realistic scenarios.

U2 - 10.1109/TMC.2016.2516981

DO - 10.1109/TMC.2016.2516981

M3 - Article

VL - 15

SP - 2682

EP - 2691

JO - IEEE Transactions on Mobile Computing

JF - IEEE Transactions on Mobile Computing

SN - 1536-1233

IS - 11

ER -

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