{"title":"深亚微米传统MOS晶体管的功率估计技术","authors":"Y. A. Durrani","doi":"10.1109/INES.2011.5954779","DOIUrl":null,"url":null,"abstract":"In this paper, we present a power macromodeling technique for transistor level. The proposed technique is used to estimate the power dissipation on conventional metal-oxide-semiconductor (MOS) transistors. As the dynamic power is directly linked with the load capacitance (CL), it is also a lumped capacitance of all internal parasitic capacitances. In our model, we take an account of the parasitic capacitances with their dependence on channel width and the length. Suitable values of other factors (i.e. threshold voltage VT, gate voltage VGS, drain voltage VDD etc.) are used for the power consumption of the MOS transistors. The Preliminary results are effective and our macromodel provides the accurate power estimation.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power estimation technique for deep submicrometer conventional MOS transistors\",\"authors\":\"Y. A. Durrani\",\"doi\":\"10.1109/INES.2011.5954779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a power macromodeling technique for transistor level. The proposed technique is used to estimate the power dissipation on conventional metal-oxide-semiconductor (MOS) transistors. As the dynamic power is directly linked with the load capacitance (CL), it is also a lumped capacitance of all internal parasitic capacitances. In our model, we take an account of the parasitic capacitances with their dependence on channel width and the length. Suitable values of other factors (i.e. threshold voltage VT, gate voltage VGS, drain voltage VDD etc.) are used for the power consumption of the MOS transistors. The Preliminary results are effective and our macromodel provides the accurate power estimation.\",\"PeriodicalId\":414812,\"journal\":{\"name\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES.2011.5954779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 15th IEEE International Conference on Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2011.5954779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power estimation technique for deep submicrometer conventional MOS transistors
In this paper, we present a power macromodeling technique for transistor level. The proposed technique is used to estimate the power dissipation on conventional metal-oxide-semiconductor (MOS) transistors. As the dynamic power is directly linked with the load capacitance (CL), it is also a lumped capacitance of all internal parasitic capacitances. In our model, we take an account of the parasitic capacitances with their dependence on channel width and the length. Suitable values of other factors (i.e. threshold voltage VT, gate voltage VGS, drain voltage VDD etc.) are used for the power consumption of the MOS transistors. The Preliminary results are effective and our macromodel provides the accurate power estimation.