A collaborative multi-agent reinforcement learning anti-jamming algorithm in wireless networks
F Yao, L Jia - IEEE wireless communications letters, 2019 - ieeexplore.ieee.org
In this letter, we investigate the anti-jamming defense problem in multi-user scenarios,
where the coordination among users is taken into consideration. The Markov game …
where the coordination among users is taken into consideration. The Markov game …
Intelligent anti-jamming communication for wireless sensor networks: A multi-agent reinforcement learning approach
Q Zhou, Y Li, Y Niu - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
In this article, we investigate intelligent anti-jamming communication method for wireless
sensor networks. The stochastic game framework is introduced to model and analyze the …
sensor networks. The stochastic game framework is introduced to model and analyze the …
Two-dimensional antijamming mobile communication based on reinforcement learning
By using smart radio devices, a jammer can dynamically change its jamming policy based
on opposing security mechanisms; it can even induce the mobile device to enter a specific …
on opposing security mechanisms; it can even induce the mobile device to enter a specific …
Pattern-aware intelligent anti-jamming communication: A sequential deep reinforcement learning approach
This paper investigates the problem of anti-jamming communication in dynamic and
intelligent jamming environment. A sequential deep reinforcement learning algorithm …
intelligent jamming environment. A sequential deep reinforcement learning algorithm …
Jamming bandits—A novel learning method for optimal jamming
Can an intelligent jammer learn and adapt to unknown environments in an electronic
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
Stackelberg game approaches for anti-jamming defence in wireless networks
This article investigates the anti-jamming communications problem in wireless networks
from a Stackelberg game perspective. By exploring and analyzing the inherent …
from a Stackelberg game perspective. By exploring and analyzing the inherent …
A hierarchical learning solution for anti-jamming Stackelberg game with discrete power strategies
This letter investigates the anti-jamming problem with discrete power strategies, and then a
Stackelberg game is formulated to model the competitive interactions between the user and …
Stackelberg game is formulated to model the competitive interactions between the user and …
“jam me if you can:” defeating jammer with deep dueling neural network architecture and ambient backscattering augmented communications
With conventional anti-jamming solutions like frequency hopping or spread spectrum,
legitimate transceivers often tend to “escape” or “hide” themselves from jammers. These …
legitimate transceivers often tend to “escape” or “hide” themselves from jammers. These …
Two-dimensional anti-jamming communication based on deep reinforcement learning
In this paper, a two-dimensional anti-jamming communication scheme for cognitive radio
networks is developed, in which a secondary user (SU) exploits both spread spectrum and …
networks is developed, in which a secondary user (SU) exploits both spread spectrum and …
GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network
Abstract The openness of Mobile Edge Computing (MEC) networks makes them vulnerable
to interference attacks by malicious jammers, which endangers the communication quality of …
to interference attacks by malicious jammers, which endangers the communication quality of …