{"title":"Interference Management in the TV White Space","authors":"A. Sadek","doi":"10.1109/SDR.2010.5507924","DOIUrl":null,"url":null,"abstract":"One of the challenging problems in achieving reliable operation in the TV white space is interference. In this paper, the spectrum sharing problem between heterogeneous networks that are not interoperable is considered. Several non-cooperative interference management techniques are developed and analyzed. A generalization of dynamic frequency selection (DFS) that uses multiple channels to exploit the spatial variation of the interference pattern is developed. The new algorithm achieves significant performance gains compared to conventional DFS. Performance of multi-antenna interference cancellation techniques is studied. An interesting result on the limited gain of successive interference cancellation in a specific interference scenario is discussed.","PeriodicalId":236424,"journal":{"name":"2010 Fifth IEEE Workshop on Networking Technologies for Software Defined Radio Networks (SDR)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fifth IEEE Workshop on Networking Technologies for Software Defined Radio Networks (SDR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SDR.2010.5507924","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
One of the challenging problems in achieving reliable operation in the TV white space is interference. In this paper, the spectrum sharing problem between heterogeneous networks that are not interoperable is considered. Several non-cooperative interference management techniques are developed and analyzed. A generalization of dynamic frequency selection (DFS) that uses multiple channels to exploit the spatial variation of the interference pattern is developed. The new algorithm achieves significant performance gains compared to conventional DFS. Performance of multi-antenna interference cancellation techniques is studied. An interesting result on the limited gain of successive interference cancellation in a specific interference scenario is discussed.