{"title":"A novel spatial Dynamic Spectrum Allocation in the urban heterogeneous scenario","authors":"Zhe Ding, Yubin Xu","doi":"10.1109/WCINS.2010.5543729","DOIUrl":null,"url":null,"abstract":"Based on the research of spatial traffic distribution model in urban areas, this paper presents a novel urban spatial Dynamic Spectrum Allocation (DSA) according to the characteristics of spatial spectrum demand distribution in urban areas. A dynamic DSA area division method is investigated, which sets up a new neighboring relationship among the DSA areas. So part of the available spectrum is released from the heterogeneous interference limit, and the spatial DSA is conducted in a more flexible way with better performance. Simulative comparison demonstrates that the proposed urban spatial DSA in this paper outperforms the conventional spatial DSA in terms of spectrum satisfaction.","PeriodicalId":272940,"journal":{"name":"IEEE International Conference on Wireless Communications, Networking and Information Security","volume":"182 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Wireless Communications, Networking and Information Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCINS.2010.5543729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Based on the research of spatial traffic distribution model in urban areas, this paper presents a novel urban spatial Dynamic Spectrum Allocation (DSA) according to the characteristics of spatial spectrum demand distribution in urban areas. A dynamic DSA area division method is investigated, which sets up a new neighboring relationship among the DSA areas. So part of the available spectrum is released from the heterogeneous interference limit, and the spatial DSA is conducted in a more flexible way with better performance. Simulative comparison demonstrates that the proposed urban spatial DSA in this paper outperforms the conventional spatial DSA in terms of spectrum satisfaction.
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