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DBmmWave: Chance-constrained Joint AP Deployment and Beam Steering in mmWave Networks with Coverage Probability Constraints

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DBmmWave: Chance-constrained Joint AP Deployment and Beam Steering in mmWave Networks with Coverage Probability Constraints. / Abdel-Rahman, Mohammad J.; Al-Ogaili, Fatimah; Kishk, Mustafa A.; MacKenzie, Allen B.; Sofotasios, Paschalis C.; Muhaidat, Sami; Nabil, Amr.

In: IEEE Networking Letters, 16.08.2019.

Research output: Contribution to journalArticleScientificpeer-review

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APA

Abdel-Rahman, M. J., Al-Ogaili, F., Kishk, M. A., MacKenzie, A. B., Sofotasios, P. C., Muhaidat, S., & Nabil, A. (2019). DBmmWave: Chance-constrained Joint AP Deployment and Beam Steering in mmWave Networks with Coverage Probability Constraints. IEEE Networking Letters. https://doi.org/10.1109/LNET.2019.2935904

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Author

Abdel-Rahman, Mohammad J. ; Al-Ogaili, Fatimah ; Kishk, Mustafa A. ; MacKenzie, Allen B. ; Sofotasios, Paschalis C. ; Muhaidat, Sami ; Nabil, Amr. / DBmmWave: Chance-constrained Joint AP Deployment and Beam Steering in mmWave Networks with Coverage Probability Constraints. In: IEEE Networking Letters. 2019.

Bibtex - Download

@article{866321bca4c8437792254dc058869615,
title = "DBmmWave: Chance-constrained Joint AP Deployment and Beam Steering in mmWave Networks with Coverage Probability Constraints",
abstract = "At millimeter wave (mmWave) frequencies, high attenuation in propagation and severe blockage by obstacles lead to high uncertainty in the availability of links between access points (APs) and mobile devices. Considering this uncertainty in combination with the inherent user location uncertainty, we propose DBmmWave, as the first chance-constrained stochastic programming (CCSP) framework for joint AP deployment and beam steering in mmWave networks. Extensive results are generated to quantify the impact of channel conditions and user distribution on the network coverage and the required number of mmWave APs. Our results demonstrate the effectiveness of CCSP in handling the trade-off between the number of APs and the network coverage.",
keywords = "MmWave networks, AP deployment, beam steering, coverage probability, chance-constrained stochastic optimization.",
author = "Abdel-Rahman, {Mohammad J.} and Fatimah Al-Ogaili and Kishk, {Mustafa A.} and MacKenzie, {Allen B.} and Sofotasios, {Paschalis C.} and Sami Muhaidat and Amr Nabil",
year = "2019",
month = "8",
day = "16",
doi = "10.1109/LNET.2019.2935904",
language = "English",
journal = "IEEE Networking Letters",
issn = "2576-3156",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - DBmmWave: Chance-constrained Joint AP Deployment and Beam Steering in mmWave Networks with Coverage Probability Constraints

AU - Abdel-Rahman, Mohammad J.

AU - Al-Ogaili, Fatimah

AU - Kishk, Mustafa A.

AU - MacKenzie, Allen B.

AU - Sofotasios, Paschalis C.

AU - Muhaidat, Sami

AU - Nabil, Amr

PY - 2019/8/16

Y1 - 2019/8/16

N2 - At millimeter wave (mmWave) frequencies, high attenuation in propagation and severe blockage by obstacles lead to high uncertainty in the availability of links between access points (APs) and mobile devices. Considering this uncertainty in combination with the inherent user location uncertainty, we propose DBmmWave, as the first chance-constrained stochastic programming (CCSP) framework for joint AP deployment and beam steering in mmWave networks. Extensive results are generated to quantify the impact of channel conditions and user distribution on the network coverage and the required number of mmWave APs. Our results demonstrate the effectiveness of CCSP in handling the trade-off between the number of APs and the network coverage.

AB - At millimeter wave (mmWave) frequencies, high attenuation in propagation and severe blockage by obstacles lead to high uncertainty in the availability of links between access points (APs) and mobile devices. Considering this uncertainty in combination with the inherent user location uncertainty, we propose DBmmWave, as the first chance-constrained stochastic programming (CCSP) framework for joint AP deployment and beam steering in mmWave networks. Extensive results are generated to quantify the impact of channel conditions and user distribution on the network coverage and the required number of mmWave APs. Our results demonstrate the effectiveness of CCSP in handling the trade-off between the number of APs and the network coverage.

KW - MmWave networks

KW - AP deployment

KW - beam steering

KW - coverage probability

KW - chance-constrained stochastic optimization.

U2 - 10.1109/LNET.2019.2935904

DO - 10.1109/LNET.2019.2935904

M3 - Article

JO - IEEE Networking Letters

JF - IEEE Networking Letters

SN - 2576-3156

ER -