An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game
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 o...
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MDPI AG
2019-08-01
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Online Access: | https://www.mdpi.com/2076-3417/9/16/3348 |
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author | Zhibin Feng Guochun Ren Jin Chen Chaohui Chen Xiaoqin Yang Yijie Luo Kun Xu |
author_facet | Zhibin Feng Guochun Ren Jin Chen Chaohui Chen Xiaoqin Yang Yijie Luo Kun Xu |
author_sort | Zhibin Feng |
collection | DOAJ |
description | 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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issn | 2076-3417 |
language | English |
last_indexed | 2024-12-18T21:15:51Z |
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spelling | doaj.art-92fa3258e27e472b802b85f4a412790b2022-12-21T20:52:23ZengMDPI AGApplied Sciences2076-34172019-08-01916334810.3390/app9163348app9163348An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg GameZhibin Feng0Guochun Ren1Jin Chen2Chaohui Chen3Xiaoqin Yang4Yijie Luo5Kun Xu6College of Communications Engineering, Army Engineering University of PLA, Nanjing 210000, ChinaCollege of Communications Engineering, Army Engineering University of PLA, Nanjing 210000, ChinaCollege of Communications Engineering, Army Engineering University of PLA, Nanjing 210000, ChinaHaige Communications Group Incorporated Company, Guangzhou 510000, ChinaCollege of Communications Engineering, Army Engineering University of PLA, Nanjing 210000, ChinaCollege of Communications Engineering, Army Engineering University of PLA, Nanjing 210000, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan 430000, ChinaIn 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.https://www.mdpi.com/2076-3417/9/16/3348anti-jammingrelay selectionpower controlStackelberg gameQ-learningmulti-armed bandit |
spellingShingle | Zhibin Feng Guochun Ren Jin Chen Chaohui Chen Xiaoqin Yang Yijie Luo Kun Xu An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game Applied Sciences anti-jamming relay selection power control Stackelberg game Q-learning multi-armed bandit |
title | An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game |
title_full | An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game |
title_fullStr | An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game |
title_full_unstemmed | An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game |
title_short | An Anti-Jamming Hierarchical Optimization Approach in Relay Communication System via Stackelberg Game |
title_sort | anti jamming hierarchical optimization approach in relay communication system via stackelberg game |
topic | anti-jamming relay selection power control Stackelberg game Q-learning multi-armed bandit |
url | https://www.mdpi.com/2076-3417/9/16/3348 |
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