{"title":"城市异构场景下一种新的空间动态频谱分配","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":"{\"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}","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}
A novel spatial Dynamic Spectrum Allocation in the urban heterogeneous scenario
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.