Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции
A Bayesian Jamming ame in an OFDM Wireless Network. / Garnaev, A.; Hayel, Y.; Altman, E.
10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WIOPT), May 14th - 18th, 2012, Paderborn, Germany. Institute of Electrical and Electronics Engineers Inc., 2012. стр. 41-48.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции
}
TY - GEN
T1 - A Bayesian Jamming ame in an OFDM Wireless Network
AU - Garnaev, A.
AU - Hayel, Y.
AU - Altman, E.
PY - 2012
Y1 - 2012
N2 - The goal of this paper is to investigate how incomplete information on the fading channel gains impacts transmission parameters. We consider in an OFDM network with transmitters and jammers. To deal with this situation we employ a Bayesian approach by introducing different type of user and jammer corresponding to their knowledge of the network environment. To get an insight of the problem, the signal to interference and noise ratio (SINR) is considered as the main metric to optimize. First, equilibrium are found in closed form expressions. Second, we show interesting results saying that incomplete information on the jammer channel gains leads to equilibrium strategies which correspond to utilization of the same channels by the different types of the jammer. Meanwhile incomplete information about the transmitter leads to channels sharing transmission equilibrium strategies employed by different types of users.
AB - The goal of this paper is to investigate how incomplete information on the fading channel gains impacts transmission parameters. We consider in an OFDM network with transmitters and jammers. To deal with this situation we employ a Bayesian approach by introducing different type of user and jammer corresponding to their knowledge of the network environment. To get an insight of the problem, the signal to interference and noise ratio (SINR) is considered as the main metric to optimize. First, equilibrium are found in closed form expressions. Second, we show interesting results saying that incomplete information on the jammer channel gains leads to equilibrium strategies which correspond to utilization of the same channels by the different types of the jammer. Meanwhile incomplete information about the transmitter leads to channels sharing transmission equilibrium strategies employed by different types of users.
M3 - Conference contribution
SP - 41
EP - 48
BT - 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WIOPT), May 14th - 18th, 2012, Paderborn, Germany
PB - Institute of Electrical and Electronics Engineers Inc.
ER -
ID: 4727194