Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks
This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, we design an interference-aware cooperative anti-jamming scheme for the purpose of maximizing users&am...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-10-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/10/1911 |
| _version_ | 1818155726757953536 |
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| author | Yifan Xu Guochun Ren Jin Chen Xiaobo Zhang Luliang Jia Lijun Kong |
| author_facet | Yifan Xu Guochun Ren Jin Chen Xiaobo Zhang Luliang Jia Lijun Kong |
| author_sort | Yifan Xu |
| collection | DOAJ |
| description | This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, we design an interference-aware cooperative anti-jamming scheme for the purpose of maximizing users’ utilities. Moreover, the channel switching cost and cooperation cost are introduced, which have a great impact on users’ utilities. Users in the UAV group sense the co-channel interference signal energy to judge whether they are influenced by co-channel interference. When the received co-channel interference signal energy is lower than the co-channel interference threshold, users conduct channel selection strategies independently. Otherwise, users cooperate with each other and take joint actions with a cooperative anti-jamming pattern under the impact of co-channel interference. Aiming at the independent anti-jamming channel selection problem under no co-channel interference, a Markov decision process framework is introduced, whereas for the cooperative anti-jamming channel selection case under the influence of co-channel mutual interference, a Markov game framework is employed. Furthermore, motivated by Q-learning with a “cooperation-decision-feedback-adjustment” idea, we design an interference-aware cooperative anti-jamming distributed channel selection algorithm (ICADCSA) to obtain the optimal anti-jamming channel strategies for users in a distributed way. In addition, a discussion on the quick decision for UAVs is conducted. Finally, simulation results show that the proposed algorithm converges to a stable solution with which the UAV group can avoid malicious jamming, as well as co-channel interference effectively and can realize a quick decision in high mobility UAV communication networks. |
| first_indexed | 2024-12-11T14:46:59Z |
| format | Article |
| id | doaj.art-64247976a7b44743bd251b7b0d1ee8e5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-11T14:46:59Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-64247976a7b44743bd251b7b0d1ee8e52022-12-22T01:01:39ZengMDPI AGApplied Sciences2076-34172018-10-01810191110.3390/app8101911app8101911Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication NetworksYifan Xu0Guochun Ren1Jin Chen2Xiaobo Zhang3Luliang Jia4Lijun Kong5College 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, ChinaCollege 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, ChinaThis paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, we design an interference-aware cooperative anti-jamming scheme for the purpose of maximizing users’ utilities. Moreover, the channel switching cost and cooperation cost are introduced, which have a great impact on users’ utilities. Users in the UAV group sense the co-channel interference signal energy to judge whether they are influenced by co-channel interference. When the received co-channel interference signal energy is lower than the co-channel interference threshold, users conduct channel selection strategies independently. Otherwise, users cooperate with each other and take joint actions with a cooperative anti-jamming pattern under the impact of co-channel interference. Aiming at the independent anti-jamming channel selection problem under no co-channel interference, a Markov decision process framework is introduced, whereas for the cooperative anti-jamming channel selection case under the influence of co-channel mutual interference, a Markov game framework is employed. Furthermore, motivated by Q-learning with a “cooperation-decision-feedback-adjustment” idea, we design an interference-aware cooperative anti-jamming distributed channel selection algorithm (ICADCSA) to obtain the optimal anti-jamming channel strategies for users in a distributed way. In addition, a discussion on the quick decision for UAVs is conducted. Finally, simulation results show that the proposed algorithm converges to a stable solution with which the UAV group can avoid malicious jamming, as well as co-channel interference effectively and can realize a quick decision in high mobility UAV communication networks.http://www.mdpi.com/2076-3417/8/10/1911interference-awarecooperative anti-jammingMarkov decision processMarkov gameQ-learning |
| spellingShingle | Yifan Xu Guochun Ren Jin Chen Xiaobo Zhang Luliang Jia Lijun Kong Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks Applied Sciences interference-aware cooperative anti-jamming Markov decision process Markov game Q-learning |
| title | Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks |
| title_full | Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks |
| title_fullStr | Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks |
| title_full_unstemmed | Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks |
| title_short | Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks |
| title_sort | interference aware cooperative anti jamming distributed channel selection in uav communication networks |
| topic | interference-aware cooperative anti-jamming Markov decision process Markov game Q-learning |
| url | http://www.mdpi.com/2076-3417/8/10/1911 |
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