Gautam Rana, Ashish Sachdeva, M. Elangovan, Kulbhushan Sharma
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A FinFET-Based Low-Power Static Random Access Memory Cell With Improved Stability
This work presents a FinFET-based stable, and low-power consuming static random access memory (SRAM) bit-cell that used eight transistors. The performance parameter of proposed feedback-cutting 8T (FC8T) is compared with four pre-published cell circuits, i.e., 6T, read-decoupled 8T(8TRD), Schmitt-trigger based 10T (10TST), and Schmitt-trigger-based modified 10 T (10TMST). The write power in proposed design is reduced by 1.36×/1.32×/1.88×/1.47× compared to 6T/8TRD/10TST/10TMST cells. The write and read stability of proposed design is improved by 1.15×/1.86×/1.28×/1.148× and 2.27×/1×/1.57×/1.11×, respectively. The proposed design also shows the low variability compared to other SRAM bit-cells.
期刊介绍:
Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models.
The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics.
Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.