{"title":"基于认知无线电的飞基站资源分配","authors":"D.-C. Oh, H. Lee, Yong-Hwan Lee","doi":"10.1109/ICTC.2010.5674680","DOIUrl":null,"url":null,"abstract":"In this paper, we consider resource allocation in femtocell networks to maximize the throughput while minimizing interference to macro-cell users nearby. This can be achieved by dynamically allocating the spectrum resource in a cognitive radio way of avoiding the use of spectrum resources occupied by macro-users nearby. The proposed scheme comprises two steps; channel sensing and resource scheduling. The femto base station detects the channel occupation by estimating the energy in sub-channels in a group-wise manner and then allocates sub-channels with the lowest interference signature to femto-users. The proposed resource scheduling combined with channel sensing can effectively manage the heterogeneous interference problem. Finally, the effectiveness of the proposed scheme is verified by computer simulation.","PeriodicalId":149198,"journal":{"name":"2010 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"Cognitive radio based femtocell resource allocation\",\"authors\":\"D.-C. Oh, H. Lee, Yong-Hwan Lee\",\"doi\":\"10.1109/ICTC.2010.5674680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider resource allocation in femtocell networks to maximize the throughput while minimizing interference to macro-cell users nearby. This can be achieved by dynamically allocating the spectrum resource in a cognitive radio way of avoiding the use of spectrum resources occupied by macro-users nearby. The proposed scheme comprises two steps; channel sensing and resource scheduling. The femto base station detects the channel occupation by estimating the energy in sub-channels in a group-wise manner and then allocates sub-channels with the lowest interference signature to femto-users. The proposed resource scheduling combined with channel sensing can effectively manage the heterogeneous interference problem. Finally, the effectiveness of the proposed scheme is verified by computer simulation.\",\"PeriodicalId\":149198,\"journal\":{\"name\":\"2010 International Conference on Information and Communication Technology Convergence (ICTC)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"50\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Information and Communication Technology Convergence (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTC.2010.5674680\",\"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 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2010.5674680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cognitive radio based femtocell resource allocation
In this paper, we consider resource allocation in femtocell networks to maximize the throughput while minimizing interference to macro-cell users nearby. This can be achieved by dynamically allocating the spectrum resource in a cognitive radio way of avoiding the use of spectrum resources occupied by macro-users nearby. The proposed scheme comprises two steps; channel sensing and resource scheduling. The femto base station detects the channel occupation by estimating the energy in sub-channels in a group-wise manner and then allocates sub-channels with the lowest interference signature to femto-users. The proposed resource scheduling combined with channel sensing can effectively manage the heterogeneous interference problem. Finally, the effectiveness of the proposed scheme is verified by computer simulation.