A CNTFET-Based 10T Static Memory Design Immune to Read and Half-Select Disturbs for Low-Power Wearable Biomedical Systems

This paper introduces a novel 10T SRAM cell optimized for low-power, high-reliability biomedical wearable systems. The proposed design features a read-assist mechanism to suppress read disturbs, enhancing read static noise margin (RSNM), while a decoupled pull-down path for the ‘0’ storage node improves write SNM (WSNM). Leveraging Stanford CNTFET models, HSPICE simulations reveal a 1.12× and 14.02× enhancement in RSNM and WSNM, respectively, at 0.3V over the conventional 6T cell. Additionally, the design achieves substantial power savings—3.02× (read), 1.97× (write), and 1.89× (leakage)—compared to state-of-the-art 9T/10T CNTFET SRAMs. Monte Carlo analysis further demonstrates superior robustness, with 2.38× and 6.62× higher yield in RSNM and WSNM at 0.3V, validating its reliability for energy-constrained biomedical applications.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3611787
Citations
4
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
3.64
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article

A CNTFET-Based 10T Static Memory Design Immune to Read and Half-Select Disturbs for Low-Power Wearable Biomedical Systems

Erfan Abbasian, Manoj Tolani, Imran Ahmed Khan, Owais Ahmad Shah et al.
4 citations
IEEE Access
Neuroscience and Neural Engineering
3.64
article

A CNTFET-Based 10T Static Memory Design Immune to Read and Half-Select Disturbs for Low-Power Wearable Biomedical Systems

Erfan Abbasian, Manoj Tolani, Imran Ahmed Khan, Owais Ahmad Shah, Shams Ul Haq, Arun Balodi, Vakkalakula Bharath Sreenivasulu
article en
4 citations

Abstract

This paper introduces a novel 10T SRAM cell optimized for low-power, high-reliability biomedical wearable systems. The proposed design features a read-assist mechanism to suppress read disturbs, enhancing read static noise margin (RSNM), while a decoupled pull-down path for the ‘0’ storage node improves write SNM (WSNM). Leveraging Stanford CNTFET models, HSPICE simulations reveal a 1.12× and 14.02× enhancement in RSNM and WSNM, respectively, at 0.3V over the conventional 6T cell. Additionally, the design achieves substantial power savings—3.02× (read), 1.97× (write), and 1.89× (leakage)—compared to state-of-the-art 9T/10T CNTFET SRAMs. Monte Carlo analysis further demonstrates superior robustness, with 2.38× and 6.62× higher yield in RSNM and WSNM at 0.3V, validating its reliability for energy-constrained biomedical applications.

IEEE AccessVol. 13
Jaypee Institute of Information Technology (IN), Manipal Academy of Higher Education (IN), Dayananda Sagar University (IN), Jamia Millia Islamia (IN), Babol Noshirvani University of Technology (IR), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 6%
Neuroscience and Neural Engineering
3.64
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A CNTFET-Based 10T Static Memory Design Immune to Read and Half-Select Disturbs for Low-Power Wearable Biomedical Systems — Erfan Abbasian, Manoj Tolani, et al. · IEEE Access (2025) | TGRS Research Map | TGRS