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. p. 227-232.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
}
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