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Fair Resource Allocation Under an Unknown Jamming Attack: A Bayesian Game. / Garnaev, A.; Trappe, W.

2014 IEEE Workshop on Information Forensics and Security (WISP), Atlanta, Georgia, USA, December 3-5, 2014. Institute of Electrical and Electronics Engineers Inc., 2014. стр. 227-232.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная

Harvard

Garnaev, A & Trappe, W 2014, Fair Resource Allocation Under an Unknown Jamming Attack: A Bayesian Game. в 2014 IEEE Workshop on Information Forensics and Security (WISP), Atlanta, Georgia, USA, December 3-5, 2014. Institute of Electrical and Electronics Engineers Inc., стр. 227-232. https://doi.org/10.1109/WIFS.2014.7084332

APA

Garnaev, A., & Trappe, W. (2014). Fair Resource Allocation Under an Unknown Jamming Attack: A Bayesian Game. в 2014 IEEE Workshop on Information Forensics and Security (WISP), Atlanta, Georgia, USA, December 3-5, 2014 (стр. 227-232). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIFS.2014.7084332

Vancouver

Garnaev A, Trappe W. Fair Resource Allocation Under an Unknown Jamming Attack: A Bayesian Game. в 2014 IEEE Workshop on Information Forensics and Security (WISP), Atlanta, Georgia, USA, December 3-5, 2014. Institute of Electrical and Electronics Engineers Inc. 2014. стр. 227-232 https://doi.org/10.1109/WIFS.2014.7084332

Author

Garnaev, A. ; Trappe, W. / Fair Resource Allocation Under an Unknown Jamming Attack: A Bayesian Game. 2014 IEEE Workshop on Information Forensics and Security (WISP), Atlanta, Georgia, USA, December 3-5, 2014. Institute of Electrical and Electronics Engineers Inc., 2014. стр. 227-232

BibTeX

@inproceedings{db45e945f46940a38ae44f973067d049,
title = "Fair Resource Allocation Under an Unknown Jamming Attack: A Bayesian Game",
abstract = "The goal of this paper is to investigate the problem how a base station (BS), facing an unknown jamming attack, should decide to allocate scarce communication resources so as to maintain fair and reliable communication for its users. In order to obtain insight into this problem, we examine a Bayesian game using α- fairness utility, which allows the problem to be treated in a universal framework involving maximizing the total user SNR and minimizing the total user delay in transmission. The solution is a maxmin strategy (i.e. it is the optimal resource allocation under expected worst conditions), and is obtained explicitly, and thereby allows for interesting properties associated with the problem to be established.",
author = "A. Garnaev and W. Trappe",
year = "2014",
doi = "10.1109/WIFS.2014.7084332",
language = "English",
pages = "227--232",
booktitle = "2014 IEEE Workshop on Information Forensics and Security (WISP), Atlanta, Georgia, USA, December 3-5, 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Fair Resource Allocation Under an Unknown Jamming Attack: A Bayesian Game

AU - Garnaev, A.

AU - Trappe, W.

PY - 2014

Y1 - 2014

N2 - The goal of this paper is to investigate the problem how a base station (BS), facing an unknown jamming attack, should decide to allocate scarce communication resources so as to maintain fair and reliable communication for its users. In order to obtain insight into this problem, we examine a Bayesian game using α- fairness utility, which allows the problem to be treated in a universal framework involving maximizing the total user SNR and minimizing the total user delay in transmission. The solution is a maxmin strategy (i.e. it is the optimal resource allocation under expected worst conditions), and is obtained explicitly, and thereby allows for interesting properties associated with the problem to be established.

AB - The goal of this paper is to investigate the problem how a base station (BS), facing an unknown jamming attack, should decide to allocate scarce communication resources so as to maintain fair and reliable communication for its users. In order to obtain insight into this problem, we examine a Bayesian game using α- fairness utility, which allows the problem to be treated in a universal framework involving maximizing the total user SNR and minimizing the total user delay in transmission. The solution is a maxmin strategy (i.e. it is the optimal resource allocation under expected worst conditions), and is obtained explicitly, and thereby allows for interesting properties associated with the problem to be established.

U2 - 10.1109/WIFS.2014.7084332

DO - 10.1109/WIFS.2014.7084332

M3 - Conference contribution

SP - 227

EP - 232

BT - 2014 IEEE Workshop on Information Forensics and Security (WISP), Atlanta, Georgia, USA, December 3-5, 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

ID: 4696096