{"title":"游戏应用于抗干扰DSA无线电","authors":"Gregory Rucker, R. Cole, D. Cansever, A. Mishra","doi":"10.1109/MILCOM.2012.6415633","DOIUrl":null,"url":null,"abstract":"In this paper, we apply Game Theory to the exploration into the development of Medium Access Protocols (MACs) for Dynamic Spectrum Access (DSA) software-define Secondary Radios (SRs) in the presence of Adversarial Jammers (AJs). We develop the Static Game representation of a hierarchical game involving the Primary Users (PUs) and the SRs and AJs. We then define a Dynamic, Repetitive Game to test the effectiveness of different SR and AJ agent strategies. These strategies are defined in terms of how aggressive the agents modify their future play based upon observations related to previous play outcomes. The observations are defined in the context of incomplete information, as it is not likely that a radio transceiver is capable of discerning all possible plays of competitors across all channels while also potentially transmitting on a given channel. We develop the Agent-Based Simulation (ABS) to investigate and analyze various versions of these games and agent strategies. We report on the results of the ABS investigations and our mathematical analysis.","PeriodicalId":18720,"journal":{"name":"MILCOM 2012 - 2012 IEEE Military Communications Conference","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Games applied to jam resistant DSA radios\",\"authors\":\"Gregory Rucker, R. Cole, D. Cansever, A. Mishra\",\"doi\":\"10.1109/MILCOM.2012.6415633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we apply Game Theory to the exploration into the development of Medium Access Protocols (MACs) for Dynamic Spectrum Access (DSA) software-define Secondary Radios (SRs) in the presence of Adversarial Jammers (AJs). We develop the Static Game representation of a hierarchical game involving the Primary Users (PUs) and the SRs and AJs. We then define a Dynamic, Repetitive Game to test the effectiveness of different SR and AJ agent strategies. These strategies are defined in terms of how aggressive the agents modify their future play based upon observations related to previous play outcomes. The observations are defined in the context of incomplete information, as it is not likely that a radio transceiver is capable of discerning all possible plays of competitors across all channels while also potentially transmitting on a given channel. We develop the Agent-Based Simulation (ABS) to investigate and analyze various versions of these games and agent strategies. We report on the results of the ABS investigations and our mathematical analysis.\",\"PeriodicalId\":18720,\"journal\":{\"name\":\"MILCOM 2012 - 2012 IEEE Military Communications Conference\",\"volume\":\"6 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MILCOM 2012 - 2012 IEEE Military Communications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MILCOM.2012.6415633\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 2012 - 2012 IEEE Military Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.2012.6415633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we apply Game Theory to the exploration into the development of Medium Access Protocols (MACs) for Dynamic Spectrum Access (DSA) software-define Secondary Radios (SRs) in the presence of Adversarial Jammers (AJs). We develop the Static Game representation of a hierarchical game involving the Primary Users (PUs) and the SRs and AJs. We then define a Dynamic, Repetitive Game to test the effectiveness of different SR and AJ agent strategies. These strategies are defined in terms of how aggressive the agents modify their future play based upon observations related to previous play outcomes. The observations are defined in the context of incomplete information, as it is not likely that a radio transceiver is capable of discerning all possible plays of competitors across all channels while also potentially transmitting on a given channel. We develop the Agent-Based Simulation (ABS) to investigate and analyze various versions of these games and agent strategies. We report on the results of the ABS investigations and our mathematical analysis.