Journal
IEEE ACCESS
Volume 9, Issue -, Pages 115951-115961Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3105577
Keywords
Transistors; CNTFETs; Logic gates; Multiplexing; Energy consumption; Internet of Things; Decoding; Noise immunity curve (NIC); CNTFET; MVL; PVT variations; ternary logic circuits
Categories
Funding
- National Priorities Research Program (NPRP) through Qatar National Research Fund (Qatar Foundation) [10-0205-170346]
- Qatar National Library
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Embedded systems, IoT devices, and portable electronic devices have spread rapidly recently, most of which rely on batteries to operate. This work aims to decrease energy consumption by utilizing multiple-valued logic (MVL) and carbon nanotube field-effect transistors (CNFET) in ternary combinational circuits. Extensive HSPICE simulations show significant improvements in transistor count and energy consumption reductions, as well as increased robustness to process variations and noise tolerance compared to recent similar designs.
The embedded systems, IoT (Internet of Things) devices, and portable electronic devices spread very quickly recently. Most of them depend on batteries to operate. The target of this work is to decrease energy consumption by (1) using Multiple-valued logic (MVL) that shows notable enhancements regarding energy consumption over binary circuits and (2) using carbon nanotube field-effect transistors (CNFET) that show better performance than CMOS. This work proposes ternary combinational circuits using 32 nm CNFET: Ternary Half Adder (THA) with 36 transistors and Ternary Multiplier (TMUL) with 23 transistors. To reduce energy consumption by utilizing the unary operator of the ternary system and employing two voltage supplies (V-dd and V-dd/2). The result of extensive HSPICE simulations regarding PVT (Process, Voltage, and Temperatures) variations and Noise Immunity Curve (NIC) show the improvements of the proposed designs up to 25% in transistors count and up to 98% in energy consumption reductions. Further, increasing the robustness of process variations and the noise tolerance compared to recent similar designs.
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