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

1
College of Communications Engineering, Army Engineering University of PLA, Nanjing 210000, China
2
Haige Communications Group Incorporated Company, Guangzhou 510000, China
3
College of Information and Communication, National University of Defense Technology, Wuhan 430000, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(16), 3348; https://doi.org/10.3390/app9163348
Received: 15 July 2019 / Revised: 5 August 2019 / Accepted: 10 August 2019 / Published: 14 August 2019
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
PDF [839 KB, uploaded 14 August 2019]
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Abstract

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.
Keywords: anti-jamming; relay selection; power control; Stackelberg game; Q-learning; multi-armed bandit anti-jamming; relay selection; power control; Stackelberg game; Q-learning; multi-armed bandit
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Feng, Z.; Ren, G.; Chen, J.; Chen, C.; Yang, X.; Luo, Y.; Xu, K. An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game. Appl. Sci. 2019, 9, 3348.

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