Performance evaluation of SRAM cells for deep submicron technologies

Shourya Gupta, K. Gupta, N. Pandey
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引用次数: 4

Abstract

In this paper, different Static RAM (SRAM) cell structures have been analysed in deep submicron regions. A 6T, 7T, 8T and 9T SRAM cell have been compared on the basis of Static Voltage Noise Margin (SVNM), Write Trip Voltage (WTV), Static Current Noise Margin (SINM), Write Trip Current (WTI), Active Leakage Current, Cell Standby Leakage Current, Read Current and Data Retention Voltage (DRV). The recent N-curve method is used over the traditionally used Butterfly Curve method for better analysis in submicron regions. The SRAM cell simulations are performed on 22nm, 32nm and 45nm CMOS technology nodes. The results show that the 6T SRAM cell has the poorest read and write margins and the highest active leakage, standby leakage and read currents across all technology nodes. Also, the 7T cell structure shows the best performance, exhibiting the highest write margins, the lowest active leakage current, lowest data retention voltage and the lowest read and standby-leakage currents across all technology nodes.
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用于深亚微米技术的SRAM电池性能评价
本文对不同的静态随机存储器(SRAM)单元结构在深亚微米区域进行了分析。在静态电压噪声裕度(SVNM)、写脱脱电压(WTV)、静态电流噪声裕度(SINM)、写脱脱电流(WTI)、有源漏电流、电池待机漏电流、读电流和数据保留电压(DRV)的基础上,对6T、7T、8T和9T SRAM单元进行了比较。最近的n曲线方法取代了传统的蝴蝶曲线方法,在亚微米区域进行了更好的分析。SRAM单元模拟分别在22nm、32nm和45nm CMOS技术节点上进行。结果表明,6T SRAM单元在所有技术节点上具有最差的读写裕量和最高的有源泄漏、待机泄漏和读取电流。此外,7T电池结构表现出最佳性能,在所有技术节点上表现出最高的写入裕量,最低的主动泄漏电流,最低的数据保留电压以及最低的读取和备用泄漏电流。
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