Fang Ye, Zitao Zhou, Hongbo Tian, Qian Sun, Yibing Li, T. Jiang
{"title":"Intelligent Anti-Jamming Decision Method Based on the Mutation Search Artificial Bee Colony Algorithm for Wireless Systems","authors":"Fang Ye, Zitao Zhou, Hongbo Tian, Qian Sun, Yibing Li, T. Jiang","doi":"10.1109/USNC-URSI.2019.8861785","DOIUrl":null,"url":null,"abstract":"Wireless systems are vulnerable to various kinds of jamming attacks due to the development of complexity of electromagnetic environment. Intelligent anti-jamming decision for multi-domain, which is more flexible than traditional single-domain technique, has attracted much more attention. However, poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space. An anti-jamming decision method based on the mutation search artificial bee colony algorithm (MSABC) is proposed in this paper. Numerical investigations show that the proposed algorithm can find a better communication scheme that reduces the normalized transmitting power while maintaining the normalized rate.","PeriodicalId":383603,"journal":{"name":"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USNC-URSI.2019.8861785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Wireless systems are vulnerable to various kinds of jamming attacks due to the development of complexity of electromagnetic environment. Intelligent anti-jamming decision for multi-domain, which is more flexible than traditional single-domain technique, has attracted much more attention. However, poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space. An anti-jamming decision method based on the mutation search artificial bee colony algorithm (MSABC) is proposed in this paper. Numerical investigations show that the proposed algorithm can find a better communication scheme that reduces the normalized transmitting power while maintaining the normalized rate.