{"title":"Site-specific MIMO channel optimization using adaptive polarization","authors":"M. Elnaggar, S. Safavi-Naeini, S. Chaudhuri","doi":"10.1109/RWS.2006.1615184","DOIUrl":null,"url":null,"abstract":"We investigate the channel capacity improvement using adaptive polarization for a site-specific (4,4) multiple-input multiple-output (MIMO) system in a corridor. The physical arrays are linear equally spaced /spl lambda//2-dipoles (/spl lambda//2 separated, vertically polarized at the static end and dually-polarized at the adaptive moving end). A switching network at the moving end makes several polarization combinations and, accordingly, can adaptively enhance the channel capacity. We consider a rank-deficient scenario (array axis parallel to the corridor length at both ends) assuming a narrow-band time-invariant frequency-flat reciprocal channel, which is deterministically predicted through image ray tracing (IRT) simulations at 2.4 GHz.","PeriodicalId":244560,"journal":{"name":"2006 IEEE Radio and Wireless Symposium","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Radio and Wireless Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2006.1615184","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
We investigate the channel capacity improvement using adaptive polarization for a site-specific (4,4) multiple-input multiple-output (MIMO) system in a corridor. The physical arrays are linear equally spaced /spl lambda//2-dipoles (/spl lambda//2 separated, vertically polarized at the static end and dually-polarized at the adaptive moving end). A switching network at the moving end makes several polarization combinations and, accordingly, can adaptively enhance the channel capacity. We consider a rank-deficient scenario (array axis parallel to the corridor length at both ends) assuming a narrow-band time-invariant frequency-flat reciprocal channel, which is deterministically predicted through image ray tracing (IRT) simulations at 2.4 GHz.