{"title":"一种有效的基于ais的移动通信频率分配模型","authors":"S. I. Suliman, G. Kendall, I. Musirin","doi":"10.1109/SOCPAR.2015.7492816","DOIUrl":null,"url":null,"abstract":"Having an effective method for frequency assignment is very important in mobile communications. Artificial Immune Systems, a relatively new methodology for solving optimization-related problems, is investigated in this study to design a cellular frequency assignment model. In this framework, mobile hosts are allowed to continue interacting with the cells that they are currently in, even when the number of frequencies is insufficient. When the number of users increases, it is almost impossible to foresee future frequency demands in a cell. Often cellular networks are faced with insufficient frequencies in cells, whilst other cells have more frequencies available than they need. Our model works by allocating the unused frequencies from the cells with less demand to the overloaded cells. The model demonstrates that it manages to reuse the available free-conflict frequencies efficiently.","PeriodicalId":409493,"journal":{"name":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An effective AIS-based model for frequency assignment in mobile communication\",\"authors\":\"S. I. Suliman, G. Kendall, I. Musirin\",\"doi\":\"10.1109/SOCPAR.2015.7492816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Having an effective method for frequency assignment is very important in mobile communications. Artificial Immune Systems, a relatively new methodology for solving optimization-related problems, is investigated in this study to design a cellular frequency assignment model. In this framework, mobile hosts are allowed to continue interacting with the cells that they are currently in, even when the number of frequencies is insufficient. When the number of users increases, it is almost impossible to foresee future frequency demands in a cell. Often cellular networks are faced with insufficient frequencies in cells, whilst other cells have more frequencies available than they need. Our model works by allocating the unused frequencies from the cells with less demand to the overloaded cells. The model demonstrates that it manages to reuse the available free-conflict frequencies efficiently.\",\"PeriodicalId\":409493,\"journal\":{\"name\":\"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCPAR.2015.7492816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCPAR.2015.7492816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An effective AIS-based model for frequency assignment in mobile communication
Having an effective method for frequency assignment is very important in mobile communications. Artificial Immune Systems, a relatively new methodology for solving optimization-related problems, is investigated in this study to design a cellular frequency assignment model. In this framework, mobile hosts are allowed to continue interacting with the cells that they are currently in, even when the number of frequencies is insufficient. When the number of users increases, it is almost impossible to foresee future frequency demands in a cell. Often cellular networks are faced with insufficient frequencies in cells, whilst other cells have more frequencies available than they need. Our model works by allocating the unused frequencies from the cells with less demand to the overloaded cells. The model demonstrates that it manages to reuse the available free-conflict frequencies efficiently.