Newly energy-efficient SRAM bit-cell using GAA CNT-GDI method with asymmetrical write and built-in read-assist schemes for QR code-based multimedia applications

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The novel design of asymmetric single-ended ten-transistor SRAM bit-cell (SE 10T-SRAM) using gate-all-around (GAA) carbon nanotube (CNT) FETs-based GAA CNT-GDI method along with dual-chirality technique for CNTs, the asymmetric write-assist and built-in read-assist schemes in the presence of more saving area and less energy consumption is suggested for portable/mobile multimedia applications. Based on the analytical-compact model, an equation for calculating write-static margin (WSNM) is presented by expressing the degree of dependence of the metric on the power supply voltage variation for the suggested bit-cell structure. The results of extensive simulations to evaluate the proposed bit-cell in single and multi-array structures indicate better static/dynamic noise margins, less sensitivity to process, voltage and temperature (PVT) variations, improvement of basic parameters in the presence of contact length changes, more noise-immunity with scalability at cell supply voltage, and better results in other comprehensive figure of merits (FoMs) parameter compared to nanotechnology-based counterpart circuits with the same number of transistors in the 16 nm technology node. Also, evaluating the proposed structure in the presence of changes in the contact length parameter of other transistors as a contact length sizing-level solution, indicating the achievement of an improved structure in the basic parameters such as static noise margin, power consumption, and energy-delay product (EDP) parameter compared to the default structure with a minimum-sizing contact length. Finally, in order to use the proposed bit-cell in a real application, the suggested structure for storing images based on quick response (QR) code is examined with a link between MATLAB and synopsys H-SPICE simulator tools based on suggested algorithm. The results demonstrate that the suggested bit-cell is with more appropriate and significant results in terms of comprehensive FoMs, in which the evaluations concerning the appropriate accuracy in pixel-by-pixel storage of images based on the peak signal-to-noise ratio (PSNR) and the mean structural similarity index measure (MSSIM) metrics, compared to other well-known counterpart schemes confirms the superiority of the proposed design. Hence, the proposed design can be used for various areas regarding multimedia device applications.