Robust transmission gate-based 10T subthreshold SRAM for internet-of-things applications

Author:

Abbasian ErfanORCID,Gholipour MortezaORCID

Abstract

Abstract This paper presents a transmission-gate-based 10T (TG10T) subthreshold SRAM cell for internet of things applications. To estimate its relative strength, it is compared with six-transistor (6T), transmission gate (TG)-based 8T (TG8T), and fully differential 8T (FD8T) cells subjected to severe process variations. The simulation results are carried out using HSPICE software and a 16 nm CMOS technology node. The TG10T cell uses a differential scheme to enhance the sense margin, two TGs instead of two NMOS access transistors to enhance write-ability, and two extra buffer transistors to improve read stability. The proposed TG10T cell minimizes leakage power dissipation by means of a greater number of PMOS devices. The proposed cell shows at least a 1.67X lower read delay (T RA) and a 1.13X higher read static noise margin. In addition, it offers a 1.22X and 1.52X lower write delay (T WA), and a 1.36X and 1.40X higher write static noise margin (WSNM) than that of 6T and FD8T, respectively. The TG10T cell consumes 2.06X/1.28X lower dynamic/leakage power compared to the 6T cell. For all these improvements, it incurs a penalty of 1.24X T WA, 1.48X WSNM, and 1.12Xdynamic power when compared with the TG8T cell, at V DD = 0.36 V. However, when subjected to severe process variations, the proposed TG10T cell shows high reliability. Moreover, a 2 kb SRAM memory using the proposed TG10T cell along with peripheral circuitries is implemented to evaluate the proposed cell’s performance in an array level.

Funder

Babol Noshirvani University of Technology

Publisher

IOP Publishing

Subject

Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3