TY - JOUR
T1 - Anti-Jamming Power Control Game in Unmanned Aerial Vehicle Networks
AU - Lv, Shichao
AU - Xiao, Liang
AU - Hu, Qing
AU - Wang, Xiaoshan
AU - Hu, Changzhen
AU - Sun, Limin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017
Y1 - 2017
N2 - In this paper, the anti-jamming issue in unmanned aerial vehicle (UAV) networks is analyzed in a static game and a dynamic game. We investigate the effect of wireless channel fading characteristics from a UAV to a ground station and flying cost on the performance of a closed-form Nash equilibrium (NE) in the static game. Besides, in a Stackelberg dynamic game, wherein the system model is hard to determine, we propose a Q- learning based anti-jamming scheme and evaluate its performance via exhaustive simulations, which can achieve relatively higher average utility and Signal to Interference plus Noise Ratio (SINR) than a benchmark method.
AB - In this paper, the anti-jamming issue in unmanned aerial vehicle (UAV) networks is analyzed in a static game and a dynamic game. We investigate the effect of wireless channel fading characteristics from a UAV to a ground station and flying cost on the performance of a closed-form Nash equilibrium (NE) in the static game. Besides, in a Stackelberg dynamic game, wherein the system model is hard to determine, we propose a Q- learning based anti-jamming scheme and evaluate its performance via exhaustive simulations, which can achieve relatively higher average utility and Signal to Interference plus Noise Ratio (SINR) than a benchmark method.
UR - http://www.scopus.com/inward/record.url?scp=85046457194&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2017.8253988
DO - 10.1109/GLOCOM.2017.8253988
M3 - Conference article
AN - SCOPUS:85046457194
SN - 2334-0983
VL - 2018-January
SP - 1
EP - 6
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
T2 - 2017 IEEE Global Communications Conference, GLOBECOM 2017
Y2 - 4 December 2017 through 8 December 2017
ER -