{"title":"一种新的无线网络机会调度框架","authors":"Jang-Won Lee, Jeong-Ahn Kwon","doi":"10.1109/ISITA.2008.4895411","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new framework for opportunistic scheduling in wireless systems. We consider a TDMA type of multiple access scheme, in which only one user can be scheduled in each time-slot. For opportunistic scheduling for such a system, a nice framework has been developed in. However, in this paper, we consider a more general system that has a probabilistic scheduling policy and more general fairness constraints. Moreover, in addition to this generalization, we develop a new framework for opportunistic scheduling based on the duality theory. The duality theory is a well-defined theory in the mathematical optimization area. Hence, by using the framework developed in this paper, we can analyze the developed algorithm more rigorously and systematically.","PeriodicalId":338675,"journal":{"name":"2008 International Symposium on Information Theory and Its Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new framework for opportunistic scheduling in wireless networks\",\"authors\":\"Jang-Won Lee, Jeong-Ahn Kwon\",\"doi\":\"10.1109/ISITA.2008.4895411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new framework for opportunistic scheduling in wireless systems. We consider a TDMA type of multiple access scheme, in which only one user can be scheduled in each time-slot. For opportunistic scheduling for such a system, a nice framework has been developed in. However, in this paper, we consider a more general system that has a probabilistic scheduling policy and more general fairness constraints. Moreover, in addition to this generalization, we develop a new framework for opportunistic scheduling based on the duality theory. The duality theory is a well-defined theory in the mathematical optimization area. Hence, by using the framework developed in this paper, we can analyze the developed algorithm more rigorously and systematically.\",\"PeriodicalId\":338675,\"journal\":{\"name\":\"2008 International Symposium on Information Theory and Its Applications\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Information Theory and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITA.2008.4895411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Information Theory and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITA.2008.4895411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new framework for opportunistic scheduling in wireless networks
In this paper, we propose a new framework for opportunistic scheduling in wireless systems. We consider a TDMA type of multiple access scheme, in which only one user can be scheduled in each time-slot. For opportunistic scheduling for such a system, a nice framework has been developed in. However, in this paper, we consider a more general system that has a probabilistic scheduling policy and more general fairness constraints. Moreover, in addition to this generalization, we develop a new framework for opportunistic scheduling based on the duality theory. The duality theory is a well-defined theory in the mathematical optimization area. Hence, by using the framework developed in this paper, we can analyze the developed algorithm more rigorously and systematically.