{"title":"异构无线网络中基于GSMDP模型的最优CAC方案","authors":"Wen Chen, Jinming Yu, Feng Pan","doi":"10.1109/IWISA.2010.5473251","DOIUrl":null,"url":null,"abstract":"This paper proposes an optimal CAC scheme in heterogeneous wireless networks called the GSMDP-based CAC (GCAC). Considering the limitations of the traditional Markov decision process for optimal CAC policy, we characterize the CAC problem through a GSMDP formulation. The performance is evaluated via simulation, and the results are compared with conventioinal GC scheme and an optimal CAC schme based on SMDP.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Optimal CAC Scheme Based on GSMDP Model in Heterogeneous Wireless Networks\",\"authors\":\"Wen Chen, Jinming Yu, Feng Pan\",\"doi\":\"10.1109/IWISA.2010.5473251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an optimal CAC scheme in heterogeneous wireless networks called the GSMDP-based CAC (GCAC). Considering the limitations of the traditional Markov decision process for optimal CAC policy, we characterize the CAC problem through a GSMDP formulation. The performance is evaluated via simulation, and the results are compared with conventioinal GC scheme and an optimal CAC schme based on SMDP.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimal CAC Scheme Based on GSMDP Model in Heterogeneous Wireless Networks
This paper proposes an optimal CAC scheme in heterogeneous wireless networks called the GSMDP-based CAC (GCAC). Considering the limitations of the traditional Markov decision process for optimal CAC policy, we characterize the CAC problem through a GSMDP formulation. The performance is evaluated via simulation, and the results are compared with conventioinal GC scheme and an optimal CAC schme based on SMDP.