Christos Papathanasiou, I. Koutsopoulos, L. Tassiulas
{"title":"Interference mitigation in co-working IEEE 802.11n WLANs","authors":"Christos Papathanasiou, I. Koutsopoulos, L. Tassiulas","doi":"10.1109/WTS.2009.5068940","DOIUrl":null,"url":null,"abstract":"In a densely deployed Wireless Local Area Network (WLAN) environment, Access Points (APs) could be so close to cause significant channel interference. In the next generation IEEE 802.11n WLANs, inter-cell interference decreases spectral efficiency. By applying common transmission weight vectors in all sub-carriers at a set of users, the paper proposes a new distributed algorithm that permits interfering APs to select appropriately their operating frequency and suppress interference in co-working IEEE 802.11n WLANs. Our method increase system performance and significantly reduces implementation complexity and power consumption. Simulation results in a strong interference environment show substantial gain for our proposed strategies.","PeriodicalId":313087,"journal":{"name":"2009 Wireless Telecommunications Symposium","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Wireless Telecommunications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WTS.2009.5068940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In a densely deployed Wireless Local Area Network (WLAN) environment, Access Points (APs) could be so close to cause significant channel interference. In the next generation IEEE 802.11n WLANs, inter-cell interference decreases spectral efficiency. By applying common transmission weight vectors in all sub-carriers at a set of users, the paper proposes a new distributed algorithm that permits interfering APs to select appropriately their operating frequency and suppress interference in co-working IEEE 802.11n WLANs. Our method increase system performance and significantly reduces implementation complexity and power consumption. Simulation results in a strong interference environment show substantial gain for our proposed strategies.