Game Theory-Based Anti-Jamming Strategies for Frequency Hopping Wireless Communications

Gao, Yulan; Xiao, Yue; Wu, Mingming; Xiao, Ming; Shao, Jinliang

doi:10.1109/twc.2018.2841921

Cited by 82 publications

(30 citation statements)

References 34 publications

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“…On the system side, one possibility would be to apply advanced frequency hopping spread spectrum techniques where the signal is rapidly switching transmitting signals as well as appropriate anti-jamming methods (see e.g. Gao et al 2018 ). Of course, increasing the transmitting satellite signal power by a large number of dBs (see e.g.…”

Section: Problems and Challengesmentioning

confidence: 99%

Status, perspectives and trends of satellite navigation

Hein

2020

Satell Navig

158

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This paper reviews the status of satellite navigation (as per 11 May 2020)—without claim for completeness—and discusses the various global navigation satellite systems, regional satellite navigation systems and satellite-based augmentation systems. Problems and challenges for delivering nowadays a safe and reliable navigation are discussed. New opportunities, perspectives and megatrends of satellite navigation are outlined. Some remarks are closing this paper emphasizing the great value of satellite navigation at present and in future.

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Section: Problems and Challengesmentioning

confidence: 99%

Status, perspectives and trends of satellite navigation

Hein

2020

Satell Navig

158

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“…Frequency-hopping (FH) is one of the powerful techniques which has been widely adopted to allow a wireless user to quickly switch its current operating frequency to other frequency spectrum, thereby avoiding potential jamming attacks [4]- [6]. In [4] and [5], a mode-FH approach was presented to jointly utilize conventional FH to further improve the communication performance in the presence of jammers. In [6], Hanawal et al proposed a joint FH and rate adaptation scheme to avoid jamming attacks in the presence of a jammer.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

Yang

Xiong

Zhao

et al. 2021

IEEE Trans. Wireless Commun.

160

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Malicious jamming launched by smart jammer, which attacks legitimate transmissions has been regarded as one of the critical security challenges in wireless communications. Thus, this paper exploits intelligent reflecting surface (IRS) to enhance anti-jamming communication performance and mitigate jamming interference by adjusting the surface reflecting elements at the IRS. Aiming to enhance the communication performance against smart jammer, an optimization problem for jointly optimizing power allocation at the base station (BS) and reflecting beamforming at the IRS is formulated. As the jamming model and jamming behavior are dynamic and unknown, a win or learn fast policy hill-climbing (WoLF-PHC) learning approach is proposed to jointly optimize the anti-jamming power allocation and reflecting beamforming strategy without the knowledge of the jamming model. Simulation results demonstrate that the proposed anti-jamming based-learning approach can efficiently improve both the IRS-assisted system rate and transmission protection level compared with existing solutions.

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“…As a major threat to reliable communication, the jammer can launch noise-like signals to legitimate receiver to decrease communication quality. In order to cope with malicious jamming attacks, a lot of anti-jamming works have been studied that focused on power control [1][2][3][4][5][6][7][8][9][10], frequency selection [11][12][13][14][15][16][17][18][19][20], and spatial domain [21][22][23][24][25], and many effective anti-jamming technologies were proposed. In this paper, we investigate the anti-jamming hierarchical optimization problem in relay communication system.…”

Section: Introductionmentioning

confidence: 99%

An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game

et al. 2019

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In this paper, we study joint relay selection and the power control optimization problem in an anti-jamming relay communication system. Considering the hierarchical competitive relationship between a user and jammer, we formulate the anti-jamming problem as a Stackelberg game. From the perspective of game, the user selects relay and power strategy firstly which acts as the leader, while the jammer chooses power strategy then that acts as follower. Moreover, we prove the existence of Stackelberg equilibrium. Based on the Q-learning algorithm and multi-armed bandit method, a hierarchical joint optimization algorithm is proposed. Simulation results show the user’s strategy selection probability and the jammer’s regret. We compare the user’s and jammer’s utility under the proposed algorithm with a random selection algorithm to verify the algorithm’s superiority. Moreover, the influence of feedback error and eavesdropping error on utility is analyzed.

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Game Theory-Based Anti-Jamming Strategies for Frequency Hopping Wireless Communications

Cited by 82 publications

References 34 publications

Status, perspectives and trends of satellite navigation

Status, perspectives and trends of satellite navigation

Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game

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