{"title":"Analytical model for multi agent - call admission in wireless networks","authors":"N. Giri, S. Bodhe","doi":"10.1109/ADCOM.2007.45","DOIUrl":null,"url":null,"abstract":"Resource allocation and its planning are major issues in wireless networks. Distributed call admission control requires calls to be admitted by considering local as well as global view of the network so as to reduce overall congestion. The paper proposes MA-CAC (Multi Agent-CAC) scheme which models a D-CAC problem using multiagent system (MAS) where each cell comprises of agents. These agents interact, communicate, coordinate or negotiate with each other to determine the optimal utility function based on maximum tolerable handoff dropping probability for a cell. It also presents the analytical model for calculating dependency of handoff dropping probability of a cell on the number of calls in the adjoining cells.","PeriodicalId":185608,"journal":{"name":"15th International Conference on Advanced Computing and Communications (ADCOM 2007)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th International Conference on Advanced Computing and Communications (ADCOM 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADCOM.2007.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Resource allocation and its planning are major issues in wireless networks. Distributed call admission control requires calls to be admitted by considering local as well as global view of the network so as to reduce overall congestion. The paper proposes MA-CAC (Multi Agent-CAC) scheme which models a D-CAC problem using multiagent system (MAS) where each cell comprises of agents. These agents interact, communicate, coordinate or negotiate with each other to determine the optimal utility function based on maximum tolerable handoff dropping probability for a cell. It also presents the analytical model for calculating dependency of handoff dropping probability of a cell on the number of calls in the adjoining cells.