Optimal frequency-hopping anti-jamming strategy based on multi-step prediction Markov decision process

Wei, Peng; Wang, Shilian; Luo, Junshan; Liu, Yan; Li, Hu

doi:10.1007/s11276-021-02735-7

Cited by 6 publications

(4 citation statements)

References 41 publications

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“…A large variety of anti-jamming methods were proposed to improve resistance to radio jamming attacks [9][10][11][12]. As one IET Commun.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…Update the conjecture vector: each user updates the conjecture ωt i (p −i ) for p −i ∈  −i according to (12). End loop on the current strategy {𝜋 t i (a i )} a i ∈A i ;…”

Section: Achieving Ne Points By Back-to-back Coordination-based Learn...mentioning

confidence: 99%

“…A large variety of anti‐jamming methods were proposed to improve resistance to radio jamming attacks [9–12]. As one of the most common anti‐jamming techniques, frequency hopping has been investigated thoroughly and applied extensively.…”

Section: Introductionmentioning

confidence: 99%

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A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

Du,

Zhang,

Qian

et al. 2024

IET Communications

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Reactive jammers select jamming strategies according to the users’ responses; thus, conventional anti‐jamming methods such as frequency hopping are inadequate to defeat the jamming attack. In this article, the authors propose a novel uncoupled deception scheme to trap the reactive jammer into attacking a decoy channel in distributed networks. Specifically, the authors design a multi‐functional network utility for every user to mislead the jammer with a minimum energy consumption while achieving the highest network throughput. Based on the network utility, the anti‐jamming problem is formulated as an exact potential game such that the existence of Nash equilibrium can be guaranteed theoretically. The authors further propose a back‐to‐back coordination‐based learning algorithm to reach the optimal channel selection and power adaption in a non‐cooperative way. To alleviate the lack of mutual information exchange, the back‐to‐back coordination mechanism derives all users to deceive the jammer by inferring others’ strategies based on a shared belief. Simulation results show that the proposed algorithm yields higher network throughput and efficiency‐cost ratio compared to the state‐of‐the‐art cooperative schemes.

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“…A large variety of anti-jamming methods were proposed to improve resistance to radio jamming attacks [9][10][11][12]. As one IET Commun.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…Update the conjecture vector: each user updates the conjecture ωt i (p −i ) for p −i ∈  −i according to (12). End loop on the current strategy {𝜋 t i (a i )} a i ∈A i ;…”

Section: Achieving Ne Points By Back-to-back Coordination-based Learn...mentioning

confidence: 99%

See 1 more Smart Citation

A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

Du,

Zhang,

Qian

et al. 2024

IET Communications

View full text Add to dashboard Cite

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“…From the perspective of Shannon's information theory, these methods will eventually lose the total capacity of the communication systems or lead to an increase in the complexity of the systems. This anti-jamming technology is difficult to use to effectively deal with the increasingly intelligent confrontation situation in the context of artificial intelligence [2]. Therefore, it is necessary to explore the research on intelligent anti-jamming technology of satellite communication considering the background of artificial intelligence technology.…”

Section: Introductionmentioning

confidence: 99%

Equilibrium Approximating and Online Learning for Anti-Jamming Game of Satellite Communication Power Allocation

Zou¹,

Chen²,

Luo³

et al. 2022

Electronics

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Satellite communication systems are increasingly facing serious environmental challenges such as malicious jamming, monitoring, and intercepting. As a current development of artificial intelligence, intelligent jammers with learning ability can effectively perceive the surrounding spectrum environment to dynamically change their jamming strategies. As a result, the current mainstream satellite communication anti-jamming technology based on wide interval high-speed frequency hopping is unable to deal with this problem effectively. In this work, we focus on anti-jamming problems in the satellite communication domain, and reformulate the power allocation problem under two kinds of confrontation scenarios as one-shot and repeated games model. Specifically, for the problem of multi-channel power allocation under a one-shot confrontation scenario, we firstly model the problem of allocating limited power resource between communication parties and a jammer on multi-channel based on a BG (Blotto Game) model. Secondly, a DO-SINR (Double Oracle-Signal to Interference plus Noise Ratio) algorithm is designed to approximate the Nash equilibrium of the game between two parties. Experiments show that the DO-SINR algorithm can effectively obtain the approximate Nash equilibrium of the game. For the problem of multi-channel power allocation under a repeated confrontation scenario, we firstly transform the problem into an online shortest path problem with a graph structure to make the problem solving process more intuitive, and then design the Exp3-U (Exp3-Uniform) algorithm which utilizes the graph structure to solve the multi-channel power allocation problem. Experiments show that our algorithm can minimize the expected regret of communication parties during online confrontation, while maintaining good operating efficiency. The two power allocation problems constructed in this paper are common problem formed in confrontation scenarios. Our research and analysis can simulate some actual confrontation scenarios of the satellite communication power allocation, which can be used to improve the adaptability of satellite communication systems in complex environments.

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Performance Comparison of Concatenated Codes with Repetitive Code in Slow Frequency Hopping Communication

Yao,

Luo,

Wang

et al. 2023

2023 IEEE 23rd International Conference on Communication Technology (ICCT)

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Optimal frequency-hopping anti-jamming strategy based on multi-step prediction Markov decision process

Cited by 6 publications

References 41 publications

A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

Equilibrium Approximating and Online Learning for Anti-Jamming Game of Satellite Communication Power Allocation

Performance Comparison of Concatenated Codes with Repetitive Code in Slow Frequency Hopping Communication

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