{"title":"Parallel low-complexity MIMO detection algorithm using QR decomposition and Alamouti space-time code","authors":"Maher Arar, A. Yongaçoğlu","doi":"10.1109/EW.2010.5483405","DOIUrl":null,"url":null,"abstract":"Fourth generation (4G) and beyond-4G wireless standards must support sub-1Gbps data rates with peak bandwidth efficiencies of up to 30 bit/s/Hz. It is widely recognized that the use of multiple antennas on both ends of the wireless link, commonly referred to as MIMO, is the technology that will make this a reality. The problem is that most existing MIMO algorithms are either too complex to be able to support such rates or do not lend themselves to a parallel implementation, a must-have feature that will enable the use of low-power multi-core processors. In this paper we propose a parallel architecture and associated algorithm that has reasonable complexity. Most importantly, the algorithm possesses a performance-on-demand feature that allows for complexity, performance and power consumption to be traded off on a packet-by-packet basis.","PeriodicalId":232165,"journal":{"name":"2010 European Wireless Conference (EW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 European Wireless Conference (EW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EW.2010.5483405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Fourth generation (4G) and beyond-4G wireless standards must support sub-1Gbps data rates with peak bandwidth efficiencies of up to 30 bit/s/Hz. It is widely recognized that the use of multiple antennas on both ends of the wireless link, commonly referred to as MIMO, is the technology that will make this a reality. The problem is that most existing MIMO algorithms are either too complex to be able to support such rates or do not lend themselves to a parallel implementation, a must-have feature that will enable the use of low-power multi-core processors. In this paper we propose a parallel architecture and associated algorithm that has reasonable complexity. Most importantly, the algorithm possesses a performance-on-demand feature that allows for complexity, performance and power consumption to be traded off on a packet-by-packet basis.