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.
Authors
- Erfan Abbasian (ORCID: https://orcid.org/0000-0003-0073-8737)
- Manoj Tolani (ORCID: https://orcid.org/0000-0002-3795-0996)
- Imran Ahmed Khan (ORCID: https://orcid.org/0000-0001-8052-6499)
- Owais Ahmad Shah (ORCID: https://orcid.org/0000-0002-3539-579X)
- Shams Ul Haq (ORCID: https://orcid.org/0000-0003-3144-3149)
- Arun Balodi (ORCID: https://orcid.org/0000-0002-6425-3299)
- Vakkalakula Bharath Sreenivasulu (ORCID: https://orcid.org/0009-0004-0182-3057)
Institutions
- 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)
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