Stackelberg Game Approaches for Anti-Jamming Defence in Wireless Networks

Jia, Luliang; Xu, Yuhua; Sun, Youming; Feng, Shuo; Anpalagan, Alagan

doi:10.1109/mwc.2017.1700363

Cited by 124 publications

(56 citation statements)

References 15 publications

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“…It is well known that game theory is efficient for solving the challenge of resource competition for example the anti-jamming transmission problem [25,26], the opportunistic spectrum access problem [27], the distributed channel-slot selection optimizing problem [28], even the challenging UAV relay selection problem [29], and the ultra-dense small cell network problem [30]. Similarly, we propose a UAV-assisted caching game in this paper from a game-theoretic perspective.…”

Section: Game Modelmentioning

confidence: 99%

Context-Aware Caching Distribution and UAV Deployment: A Game-Theoretic Approach

et al. 2018

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This paper investigates the problem of the optimal arrangement for both unmanned aerial vehicles’ (UAVs’) caching contents and service locations in UAV-assisted networks based on the context awareness, which considers the influence between users and environment. In the existing work, users within the coverage of UAVs are considered to be served perfectly, which ignores the communication probability caused by line-of-sight (LOS) and non-line-of-sight (NLOS) links. However, the links are related to the deployment of UAVs. Moreover, the transmission overhead should be taken into account. To balance the tradeoff between these two factors, we design the ratio of users’ probability and transmission overhead as the performance measure mechanism to evaluate the performance of UAV-assisted networks. Then, we formulate the objective for maximizing the performance of UAV-assisted networks as a UAV-assisted caching game. It is proved that the game is an exact potential game with the performance of UAV-assisted networks serving as the potential function. Next, we propose a log-linear caching algorithm (LCA) to achieve the Nash equilibrium (NE). Finally, related simulation results reflect the great performance of the proposed algorithm.

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Section: Game Modelmentioning

confidence: 99%

Context-Aware Caching Distribution and UAV Deployment: A Game-Theoretic Approach

et al. 2018

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show abstract

“…It is well known that game theory is efficient for solving the challenge of resource competition like the anti-jamming transmission problem [24,25], the opportunistic spectrum access problem [26], the distributed channel-slot selection optimizing problem [27], even the challenging UAV relay selection problem [28] and ultra-dense small cell network problem [29]. Similarly, we propose a UAV-assisted caching game in this paper from a game-theoretic perspective.…”

Section: Game Modelmentioning

confidence: 99%

Context-aware Caching Distribution and UAV Deployment: A Game-theoretic Approach

Fang¹,

Tian²,

Zhang³

et al. 2018

Preprint

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This paper investigates the problem of the optimal arrangement for both UAVs’ caching contents and service locations in UAV-assisted networks based on the context awareness, which considers the influence between users and environment. In the existing work, users within the coverage of UAVs are considered to be served perfectly, which ignores the communication probability caused by line-of-sight (LOS) and non- line-of-sight (NLOS) links. However, the links are related to UAV deployment. Moreover, the transmission overhead should be taken into account. To balance the tradeoff between these two factors, we design the ratio of users’ probability and transmission overhead as the performance measure mechanism to evaluate the performance of UAV-assisted networks. Then, we formulate the objective for maximizing the performance of UAV-assisted networks as a UAV-assisted caching game. It is proved that the game is an exact potential game with the performance of UAV-assisted networks serving as the potential function. Next, we propose the log-linear caching algorithm (LCA) to achieve the Nash equilibrium (NE). Finally, related simulation results reflect the great performance of the proposed algorithm.

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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%

“…In [9], the power allocation problem was studied in cognitive radio communication networks within different game frames. Taking the perspective of Stackelberg game, the authors combed the anti-jamming technologies under different scenarios in [10], moreover, an anti-jamming decision-making framework was also proposed based on the adversarial characteristics between user and jammer, incomplete information and so on.…”

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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Stackelberg Game Approaches for Anti-Jamming Defence in Wireless Networks

Cited by 124 publications

References 15 publications

Context-Aware Caching Distribution and UAV Deployment: A Game-Theoretic Approach

Context-Aware Caching Distribution and UAV Deployment: A Game-Theoretic Approach

Context-aware Caching Distribution and UAV Deployment: A Game-theoretic Approach

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

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