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A Novel Design of Voltage and Temperature Resilient 9-T Domino Logic XOR /XNOR Cell.
- Source :
- Circuits, Systems & Signal Processing; Nov2022, Vol. 41 Issue 11, p6314-6332, 19p
- Publication Year :
- 2022
-
Abstract
- A novel domino logic XOR /XNOR cell design is presented that is appropriate for low-power and low-voltage domain. The proposed domino XOR/XNOR cell is implemented using Predictive Technology Model (PTM) for CMOS technology using HSPICE simulator at 22-nm node. Important device performance parameters such as propagation delay (tp), power consumption (pwr), power delay product (PDP) and energy delay product (EDP) are investigated, and the results are analyzed with existing XOR/XNOR cells. The proposed design consumes less power as compared to other existing design and hence provides improved PDP and EDP. The same has been validated using simulation results. Consequently, this article carries robustness analysis to study the impact of voltage and temperature variations on power consumption of the proposed circuit. The proposed XOR/XNOR cell is also used to design a power-efficient 4-bit even parity generator (EPG) as an application. This research paper proposes a low-power domino logic XOR/XNOR cell architecture using 0.7 V supply with a total power consumption of 0.314 µW. The proposed power-efficient domino XOR/XNOR cell is strong candidate suitable for biomedical applications. Almost in every biomedical application, analog-to-digital converter (ADC) plays a key role for sensing the different input parameters like pressure and temperature, whereas adders are used as data path in digital signal processing unit. Therefore, the use of proposed XOR/XNOR cell design guarantees power-efficient high-performance portable biomedical applications. [ABSTRACT FROM AUTHOR]
- Subjects :
- DIGITAL signal processing
ANALOG-to-digital converters
VOLTAGE
LOGIC
Subjects
Details
- Language :
- English
- ISSN :
- 0278081X
- Volume :
- 41
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Circuits, Systems & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 159212581
- Full Text :
- https://doi.org/10.1007/s00034-022-02085-5