{"title":"The Mixed Cognitive Frequency Decision for Self-organized Networks","authors":"Xuekun Hao, Wenfeng Ma, Xiaohao Mo","doi":"10.2991/ICMEIT-19.2019.22","DOIUrl":null,"url":null,"abstract":"The paper studies the problem of distributed frequency decision problem in cognitive user (CU) network for optimizing satisfaction performance, based on the cognitive radio technology. For cognitive user, it can use both charged and free bands. Charged bands have to be paid and free bands have to be shared among cognitive users. Considering the work bandwidth limit and communication request for each cognitive user, our work is to maximize the network satisfaction performance of the cognitive user network which is defined as the satisfaction degree minus price paid. We propose a mixed cognitive frequency decision algorithm which could improve the network satisfaction performance. According to the experiment results, the proposed approach could work better compared with existing ones.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ICMEIT-19.2019.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper studies the problem of distributed frequency decision problem in cognitive user (CU) network for optimizing satisfaction performance, based on the cognitive radio technology. For cognitive user, it can use both charged and free bands. Charged bands have to be paid and free bands have to be shared among cognitive users. Considering the work bandwidth limit and communication request for each cognitive user, our work is to maximize the network satisfaction performance of the cognitive user network which is defined as the satisfaction degree minus price paid. We propose a mixed cognitive frequency decision algorithm which could improve the network satisfaction performance. According to the experiment results, the proposed approach could work better compared with existing ones.