{"title":"基于随机奖励网的蜂窝网络信道分配性能建模","authors":"C. Ro, Myungwhan Choi, Gi Rae Kim","doi":"10.1109/TENCON.1999.818527","DOIUrl":null,"url":null,"abstract":"A combined performance and reliability/availability model for channel allocation is introduced. Stochastic reward nets (SRNs) models are presented for this purpose as Markov reward models, which are obtained by associating reward rates with Markov chain's state. To solve both non-exponential and state largeness problems, advanced modeling techniques such as phase approximation approach, hierarchical modeling and fixed point iteration techniques are described.","PeriodicalId":121142,"journal":{"name":"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performability modeling of channel allocation in cellular networks using stochastic reward nets\",\"authors\":\"C. Ro, Myungwhan Choi, Gi Rae Kim\",\"doi\":\"10.1109/TENCON.1999.818527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A combined performance and reliability/availability model for channel allocation is introduced. Stochastic reward nets (SRNs) models are presented for this purpose as Markov reward models, which are obtained by associating reward rates with Markov chain's state. To solve both non-exponential and state largeness problems, advanced modeling techniques such as phase approximation approach, hierarchical modeling and fixed point iteration techniques are described.\",\"PeriodicalId\":121142,\"journal\":{\"name\":\"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.1999.818527\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.1999.818527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performability modeling of channel allocation in cellular networks using stochastic reward nets
A combined performance and reliability/availability model for channel allocation is introduced. Stochastic reward nets (SRNs) models are presented for this purpose as Markov reward models, which are obtained by associating reward rates with Markov chain's state. To solve both non-exponential and state largeness problems, advanced modeling techniques such as phase approximation approach, hierarchical modeling and fixed point iteration techniques are described.