L. Chisci, R. Fantacci, F. Francioli, T. Pecorella
{"title":"基于分布式预测控制的卫星网络动态带宽分配","authors":"L. Chisci, R. Fantacci, F. Francioli, T. Pecorella","doi":"10.1109/ISCCSP.2004.1296306","DOIUrl":null,"url":null,"abstract":"This paper presents a novel approach for dynamic bandwidth allocation in geo-stationary satellite networks. Each satellite gateway (SG) uses a local adaptive predictor to forecast the future input traffic flow along with a local predictive (receding-horizon) controller to generate a bandwidth request to the network control center (NCC). In turn, the NCC globally shares out the available bandwidth among the requesting SGs according to a suitable fair resource allocation policy. Simulation experiments demonstrate the effectiveness of the proposed approach in terms of efficient bandwidth usage and low packet delivery delays under different traffic load conditions.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Dynamic bandwidth allocation via distributed predictive control in satellite networks\",\"authors\":\"L. Chisci, R. Fantacci, F. Francioli, T. Pecorella\",\"doi\":\"10.1109/ISCCSP.2004.1296306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel approach for dynamic bandwidth allocation in geo-stationary satellite networks. Each satellite gateway (SG) uses a local adaptive predictor to forecast the future input traffic flow along with a local predictive (receding-horizon) controller to generate a bandwidth request to the network control center (NCC). In turn, the NCC globally shares out the available bandwidth among the requesting SGs according to a suitable fair resource allocation policy. Simulation experiments demonstrate the effectiveness of the proposed approach in terms of efficient bandwidth usage and low packet delivery delays under different traffic load conditions.\",\"PeriodicalId\":146713,\"journal\":{\"name\":\"First International Symposium on Control, Communications and Signal Processing, 2004.\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Symposium on Control, Communications and Signal Processing, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCCSP.2004.1296306\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Symposium on Control, Communications and Signal Processing, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCCSP.2004.1296306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic bandwidth allocation via distributed predictive control in satellite networks
This paper presents a novel approach for dynamic bandwidth allocation in geo-stationary satellite networks. Each satellite gateway (SG) uses a local adaptive predictor to forecast the future input traffic flow along with a local predictive (receding-horizon) controller to generate a bandwidth request to the network control center (NCC). In turn, the NCC globally shares out the available bandwidth among the requesting SGs according to a suitable fair resource allocation policy. Simulation experiments demonstrate the effectiveness of the proposed approach in terms of efficient bandwidth usage and low packet delivery delays under different traffic load conditions.