{"title":"认知无线电网络空间变异函数估计的最佳实验设计","authors":"Zhenghao Zhang, Husheng Li, Changxing Pei","doi":"10.1109/CISS.2010.5464833","DOIUrl":null,"url":null,"abstract":"Cognizing radio environment is important for secondary users in cognitive radio networks. Interference temperature, routing scheme and other important issues are attained from the the radio environment over a specific region. One of the important features is the variogram of primary users' signal strength. The theory of optimum experimental design (OED) is introduced to determine the optimal sensing locations to estimate the spectrum variogram. OED method can circumvent the exhaustive sensing over the whole spatial region. The estimation performance is demonstrated to outperform the scheme of random deployment of sensors.","PeriodicalId":118872,"journal":{"name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","volume":"12 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimum experimental design for estimating spatial variogram in cognitive radio networks\",\"authors\":\"Zhenghao Zhang, Husheng Li, Changxing Pei\",\"doi\":\"10.1109/CISS.2010.5464833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cognizing radio environment is important for secondary users in cognitive radio networks. Interference temperature, routing scheme and other important issues are attained from the the radio environment over a specific region. One of the important features is the variogram of primary users' signal strength. The theory of optimum experimental design (OED) is introduced to determine the optimal sensing locations to estimate the spectrum variogram. OED method can circumvent the exhaustive sensing over the whole spatial region. The estimation performance is demonstrated to outperform the scheme of random deployment of sensors.\",\"PeriodicalId\":118872,\"journal\":{\"name\":\"2010 44th Annual Conference on Information Sciences and Systems (CISS)\",\"volume\":\"12 9\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 44th Annual Conference on Information Sciences and Systems (CISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS.2010.5464833\",\"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 44th Annual Conference on Information Sciences and Systems (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2010.5464833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimum experimental design for estimating spatial variogram in cognitive radio networks
Cognizing radio environment is important for secondary users in cognitive radio networks. Interference temperature, routing scheme and other important issues are attained from the the radio environment over a specific region. One of the important features is the variogram of primary users' signal strength. The theory of optimum experimental design (OED) is introduced to determine the optimal sensing locations to estimate the spectrum variogram. OED method can circumvent the exhaustive sensing over the whole spatial region. The estimation performance is demonstrated to outperform the scheme of random deployment of sensors.