{"title":"Source/drain engineered ultra low power analog/RF UTBB MOSFETs","authors":"A. Kranti, J. Raskin, G. A. Armstrong","doi":"10.1109/ULIS.2011.5757997","DOIUrl":null,"url":null,"abstract":"We present a novel optimization technique for ultra-low-power analog/RF Ultra Thin Body BOX (UTBB) MOSFETs. UTBB devices are optimized in bias range corresponding to peak of transconductance-to-current ratio (g<inf>m</inf>/I<inf>ds</inf>) and cut-off frequency (f<inf>T</inf>) product i.e. g<inf>m</inf>f<inf>T</inf>/I<inf>ds</inf> as it represents a “sweet spot” between speed and power. It is demonstrated that the use of underlap source/drain (S/D) architecture in UTBB devices improve g<inf>m</inf>f<inf>T</inf>/I<inf>ds</inf>, intrinsic voltage gain (A<inf>VO</inf>), cut-off frequency (f<inf>T</inf>) and linearity (VIP<inf>3</inf>) with downscaling.","PeriodicalId":146779,"journal":{"name":"Ulis 2011 Ultimate Integration on Silicon","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ulis 2011 Ultimate Integration on Silicon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULIS.2011.5757997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
We present a novel optimization technique for ultra-low-power analog/RF Ultra Thin Body BOX (UTBB) MOSFETs. UTBB devices are optimized in bias range corresponding to peak of transconductance-to-current ratio (gm/Ids) and cut-off frequency (fT) product i.e. gmfT/Ids as it represents a “sweet spot” between speed and power. It is demonstrated that the use of underlap source/drain (S/D) architecture in UTBB devices improve gmfT/Ids, intrinsic voltage gain (AVO), cut-off frequency (fT) and linearity (VIP3) with downscaling.