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A low-power and compact carbon nanotube field-effect transistor (CNTFET)-based K -band electronically tunable band-pass filter (BPF) is presented. The filter is designed using second-generation multiple-output current-controlled current conveyor (MOCCCII). The presented active only current-mode BPF employs three MOCCCIIs and two CNTFETs as capacitors. This BPF can be tuned by varying the parasitic resistance of MOCCCIIs via the control current. The designed current-mode tunable BPF is simulated in an advanced design system (ADS) using the Stanford CNTFET model with the extension of noise and manufacturing process variation. The filter achieves a 21–23 GHz tuning frequency range, with a minimum noise figure of about 11.09 dB. The 1-dB compression point and input-referenced third-order intercept point are −19.28 and −8.4 dBm, respectively. This compact filter consumes only 145.7 μ W power at ± 0.5 V supply voltage at room temperature. The temperature analysis shows good thermal stability. The Monte Carlo analysis demonstrates the good process variation stability of the filter. The suggested BPF can be thought of as the first fully active BPF that is a candidate for K -band communication applications with future advances in the fabrication process for CNTFET. [ABSTRACT FROM AUTHOR]

In the course of this study, an efficient implementation of a high gain and low power two-stage operational amplifier using indirect feedback frequency compensation based on CNTFETs. HSPICE software was used to develop and simulate CNTFETs. The op-amps were designed using 0.9 V input supply voltage. The proposed structures were formed either using CNTFETs only known as pure CNTFET-IFFC-2SOA or hybrid structures consisting a mix of both CNTFETs and conventional CMOS named as PCNTFET-NMOS-IFFC-2SOA and NCNTFET-PMOS-2SOA. The comparative investigation revealed that CNT-based structures performed significantly better than the traditional CMOS-based devices. In the instance of CNTFET-IFFC-2SOA, there was a considerable improvement in DC gain, power dissipation, phase margin, and CMRR. The DC Gain increased by 140.92%, the CMRR increased by 32.94%, and the phase margin increased by 4.9%. Furthermore, at the 32 nm technology node, a GNRFET-based structure was designed and compared to conventional CMOS and pure CNTFET-based IFFC-2SOA. It was discovered that the DC gain, phase margin, and power dissipation obtained by the CNTFET-based structure were superior to both. The DC Gain of CNTFET-IFFC-2SOA was 156.79% more than that of GNRFET-IFFC-2SOA. To confirm the workability of the proposed circuits, an integrator was designed and simulated as its application. The CNTFET-based IFFC-2SOA integrators showed better integration action than the traditional CMOS-IFFC-2SOA. [ABSTRACT FROM AUTHOR]

Many researchers are actively working on developing a fast-performing static random-access memory (SRAM) cell with low-power consumption and high stability. This study also introduces one such new and all-round excellent SRAM cell. In this paper, an SRAM cell with eleven transistors (11T) developed using carbon nanotube field effect transistor (CNTFET) is introduced. This new 11T CNTFET SRAM cell is another variant of the Schmitt-trigger (ST)-based SRAM cell. This new SRAM cell structure is achieved by incorporating a single-ended write mode, a feed-back cutting technique and a single-ended read approach into a Schmitt-trigger (ST)-based SRAM cell. The WSNM of the proposed 11T CNTFET SRAM cell is increased by using single-ended writing scheme and feed-back cutting method in the cell. The single ended read approach of 11T CNTFET SRAM cell increases the RSNM as the storage nodes are not disturbed. The write power, hold power, read power, WSNM, HSNM, RSNM, write delay and read delay of this 11T CNTFET SRAM cell are 2.1538e-10 W, 1.7077e-09 W, 1.4524e-08 W, 423.61 mV, 402.20 mV, 425.56 mV, 1.2932e-10s and 5.5225e-12s, respectively. The parameters of the proposed cell are compared with 6T SRAM [M. Elangovan and K. Gunavathi, Stability analysis of 6T CNTFET SRAM cell for single and multiple CNTs, 2018 4th Int. Conf. Devices, Circuits Syst., Coimbatore, India, 16–17 March 2018, vol. 2, pp. 63–67], 8T SRAM [M. Elangovan, A novel Darlington based 8T CNTFET SRAM cell for low, J. Circuits Syst. Comput.30 (2021) 2150213], 12T SRAM [S. Pal, S. Bose, W. H. Ki and A. Islam, Half-select-free low-power dynamic loop-cutting write assist SRAM cell for space applications, IEEE Trans. Electron Dev. 67 (2020) 80–89, doi:10.1109/TED.2019.2952397], 12T SRAM [N. Yadav, A. P. Shah and S. K. Vishvakarma, Stable, reliable, and bit-interleaving 12T SRAM for space applications: A device circuit co-design, IEEE Trans. Semicond. Manuf. 30 (2017) 276–284, doi:10.1109/TSM.2017.2718029], 12T SRA-M [P. Sharma, S. Gupta, K. Gupta and N. Pandey, A low power subthreshold Schmitt Trigger-based 12T SRAM bit cell with process-variation-tolerant write-ability, Microelectron. J. 97 (2020) 104703, doi:10.1016/j.mejo.2020.104703] and 12T SRAM [P. Sharma, S. Gupta, K. Gupta and N. Pandey, A low power subthreshold Schmitt Trigger based 12T SRAM bit cell with process-variation-tolerant write-ability, Microelectron. J. 97 (2020) 104703, doi:10.1016/j.mejo.2020.104703] cells to understand the performance of the proposed SRAM cell. From the comparative study, it is observed that the proposed cell is more stable than the other cells considered for the comparison and consumes less power in all write, read and hold modes. Also, the read time of the introduced cell is much less than the others. This study also recorded the information on how the performance of an SRAM cell varies as the CNTFET parameters change. The simulation is done with the HSPICE simulation tool using the Stanford University 32 nm CNTFET model. [ABSTRACT FROM AUTHOR]

A novel 7T carbon nanotube field effect transistor (CNTFET)-based static random-access memory (SRAM) cell is proposed in this paper. Power and noise margin performances of the proposed SRAM cell is observed for write, hold and read operations. The power consumption and noise margin of the proposed SRAM cell is compared with the conventional 6T and 8T CNTFET-based SRAM cells. From the simulation, it is noted that the proposed 7T SRAM cell consumes lesser power and offers high static noise margin (SNM) compared to that of conventional 6T and 8T SRAM cells. The introduction of diode-based transistor structure improves the power and noise performance of the proposed SRAM cell. The effect of variation of parameters such as gate oxide thickness, dielectric constant, pitch, temperature, number of carbon nanotubes (CNT) and supply voltage on power and noise performance of proposed 7T SRAM cell is studied. Simulations were carried out with HSPICE simulation tool using Stanford University 32-nm CNTFET model. [ABSTRACT FROM AUTHOR]

Ternary logic has been demonstrated as a superior contrasting option to binary logic. This paper presents a ternary subtractor circuit in which the input signal is converted into binary. The proposed design is implemented using Carbon Nanotube Field Effect Transistor (CNTFET), a forefront innovation. A correlation has been made in the proposed design on parameters like Power-Delay Product (PDP), Energy Delay Product (EDP), average power consumption, delay and static noise margin. Every one of these parameters is obtained by simulating the circuits on the HSPICE simulator. The proposed design indicates an improvement of 60.14%, 59.34%, 74.98% and 84.28%, respectively, in power consumption, delay, PDP and EDP individually in correlation with recent designs. The increased carbon nanotubes least affect the proposed subtractor design. In noise analysis, the proposed design outperformed all the existing designs. [ABSTRACT FROM AUTHOR]

Viterbi algorithm is the most popular algorithm used to decode the convolution code, but its computational complexity increases exponentially with the increasing constraint length due to a large number of Trellis transitions. However, high constraint length is necessary to improve the accuracy of the decoding process for the high rate convolution code. In particular, the Add-Compare-Select (ACS) module of the Viterbi Decoder will have large numbers of trellis states and trellis transitions with increased constraint lengths, which give rise to high hardware complexity and large power consumption. As the performance of the Viterbi decoder mainly depends on its efficient implementation of the ACS module, in the literature, several methods are presented for the implementation of ACS for the Viterbi decoder. The methods based on Precharge Half Buffer (PCHB) and Weak Conditioned Half Buffer, Shannon's decomposition circuits, body-biased pseudo-NMOS logic and Quasi Delay Insensitive (QDI) timing model performance is analyzed. The methods are implemented using CMOS technology. In this paper, FinFET and CNTFET-based ACS implementation is performed. From the analysis, it has been found that the Carbon Nanotube-based implementation is better in performance when compared to the CMOS and FinFET technology. The proposed QDI model and retiming circuits for ACS block operate above 1 GHz with high driving current and low power. [ABSTRACT FROM AUTHOR]

Carbon nanotube field effect transistors (CNTFETs) are the best alternative option for the metal oxide semiconductor field effect transistor (MOSFET) in the ultra-deep submicron (ultra-DSM) regime. CNTFET has numerous benefits such as lower off-state current, high current density, low bias potential and better transport property as compared to MOSFET. A rolled graphene sheet-based cylindrical tube is constructed in the channel region of the CNTFET structure. In this paper, an improved domino logic (IDL) configuration is proposed for domino logic circuits to improve the different performance metrics. An extensive comparative simulation analysis is provided for the different performance metrics for different circuits to verify the novelty of the proposed IDL approach. The IDL approach saves the leakage power dissipation by 95.61% and enhances the speed by 87.10% for the 4-bit full adder circuit as compared to the best reported available domino method. The effects of the number of carbon nanotubes (CNTs), temperature, and power supply voltage variations are estimated for leakage power dissipation for the 16-input OR (OR16) gate. The reliability of different performance metrics for different circuit is calculated in terms of uncertainty by running the Monte Carlo simulations for 500 samples. Stanford University's 32 nm CNTFET model is applied for circuit simulations. [ABSTRACT FROM AUTHOR]

The design of low power memory cells is the dream of engineers in memory design. A Darlington-based 8T CNTFET SRAM cell is suggested in this paper. It is called the proposed P_CNTFET Darlington 8T SRAM Cell. Compared with that of the traditional 6T and 8T CNTFET SRAM cells, the power and noise performances of the proposed SRAM cell are comparable. Compared to the traditional SRAM cells, the write, hold, read and dynamic power consumption of the proposed cell is much lower. The CNTFET parameters are optimized to boost the noise margin performance of the suggested bit cell. For optimized parameters, the power consumption and SNM of the proposed cell are compared with conventional cells. In contrast to the conventional cells, the HSNM and WSNM of the proposed cell are improved by 6.25% and 66.6%. The proposed cell's RSNM is 38% greater than the traditional 6T SRAM cell. The proposed cell's RSNM is 3.33% less than the traditional 8T SRAM cell. MOSFET is also used to implement the proposed SRAM cell and its noise margin and power performance are compared with traditional MOSFET-based SRAM cells. As with the conventional cells, the MOSFET-based implementation of the proposed cell power and SNM performance is also very good. The simulation is done with the HSPICE simulation tool using the Stanford University 32 nm CNTFET model. [ABSTRACT FROM AUTHOR]

Ternary logic can reduce the number of interconnections, chip area and power dissipation. In addition, one of the important features of carbon nanotube field effect transistors (CNTFETs) is the capability of adjusting threshold voltage. As a result, the design complexity of ternary circuits can be decreased. The structure of a mixed radix system which is based on multi-valued and binary logic is more appropriate compared to only multiple-valued logic (MVL). Therefore, ternary-to-binary and binary-to-ternary converters are the essential components for the ternary signaling on the bus and the binary logic processing circuits. It is also important for the creation of compatibility between the binary and ternary logic. This study is about a multi-digit binary-to-ternary converter by using CNTFET. At first, the algorithm used for the multi-digit conversion from ternary to binary logic is addressed in this paper. Then, the paper proposes a block diagram suitable for designing the multi-digit ternary-to-binary converter. Some new gates including One-Active Gate and Two-Active Gate, as well as two types of binary half-and full-adders, are designed for the purpose of implementing the proposed block diagram. This is done by adjusting the proper threshold voltage for CNTFETs. The proposed algorithm can also be applied to any desired number of bits. The proper operation and high efficiency of the proposed converter are confirmed by HSPICE simulation results and 32 nm CNTFET technology from the Stanford University. [ABSTRACT FROM AUTHOR]

The ultimate aim of a memory designer is to design a memory cell which could consume low power with high data stability in the deep nanoscale range. The implementation of Very Large-Scale Integration (VLSI) circuits using MOSFETs in nanoscale range faces many issues such as increasing of leakage power and second-order effects that are easily affected by the PVT variation. Hence, it is essential to find the best alternative of MOSFET for deep submicron design. The Carbon Nanotube Field Effect Transistor (CNTFET) can eradicate all the demerits of MOSFET and be the best replacement of MOSFET for nanoscale range design. In this paper, a 10T CNTFET Static Random Access Memory (SRAM) cell is proposed. The power consumption and Static Noise Margin (SNM) are analyzed. The power consumption and stable performance of the proposed 10T CNTFET SRAM cell are compared with that of conventional 10T CNTFET SRAM cell. The power and stability analyses of the proposed 10T and conventional 10T CNTFET SRAM cells are carried out for the CNTFET parameters such as pitch and chiral vector (m , n). The power and SNM analyses are carried out for ± 20% variation of oxide thickness (Hox), different dielectric constant (Kox). The supply voltage varies from 0.9 V to 0.6 V and temperature varies from 27∘C to 125∘C. The simulation results show that the proposed 10T CNTFET SRAM cell consumes lesser power than conventional 10T CNTFET SRAM cell during the write, hold and read modes. The write, hold and read stability of the proposed 10T CNTFET SRAM cell are higher as compared with that of conventional 10T CNTFET SRAM. The conventional and proposed 10T SRAM cells are also implemented using MOSFET. The stability and power performance of proposed 10T SRAM cell is also as good as conventional 10T SRAM for MOSFET implementation. The proposed 10T SRAM cell consumes lesser power and gives higher stability than conventional 10T SRAM cell in both CNTFET and MOSFET implementation. The simulation is carried out using Stanford University 32 nm CNTFET model in HSPICE simulation tool. [ABSTRACT FROM AUTHOR]

This paper introduces for the first time all the steps required in the optimal design of carbon nanotube field-effect transistor (CNTFET)-based second generation current conveyor (CCII) using transconductance-to-drain current ratio ( g m ∕ I D ) technique for low-voltage (LV) and low-power (LP) applications. The g m ∕ I D technique is a well-established methodology for CMOS analog IC design. However, the difference between CMOS and CNTFET is that CMOS has continuous width while the width of CNTFET is discrete and depends on different parameters like the number of tubes, pitch and diameter ( D CNT ) of the carbon nanotube (CNT). Therefore, there is a need for a design technique by which one can easily design analog circuits using CNTFETs. The CCII is based on two-stage op-amp and two inverters used as class AB amplifiers. The performance of CCII has been extensively examined in terms of DC, AC and transient responses of node voltages, branch currents and node impedances using HSPICE simulations. The CCII operates at ± 0.5 V and has 172 μ W of power consumption. The designed CCII provides very high 3-dB bandwidth (BW) for current gain ( I Z ∕ I X)  i.e.  3 4. 3 GHz as well as voltage gain ( V X ∕ V Y)  i.e.  3 5. 1 GHz. [ABSTRACT FROM AUTHOR]

Designing of Complementary Metal Oxide Semiconductor (CMOS) technology based VLSI circuits in deep submicron range includes many challenges like tremendous increase of leakage power. Design is also easily affected by process variation. The Carbon NanoTube Field Effect Transistor (CNTFET) is an alternative for Metal Oxide Semiconductor Field Effect Transistor (MOSFET) for nanoscale range VLSI circuits design. CNTFET offers best performance than MOSFET. It has high stability and consumes least power. Static Random Access Memory (SRAM) cells play a vital role in cache memory in most of the electronic circuits. In this paper, we have proposed a high stable and low power CNTFET based 8Transistor (8T) SRAM cell. The performance of proposed 8T SRAM cells for nominal chiral value (all CNTFET with m = 1 9 , n = 0) and Dual chiral value (NCNTFET with m = 1 9 , n = 0 and PCNTFET m = 1 6 , n = 0) is compared with that of conventional 6T and 8T cells. From the simulation results, it is noted that the proposed structure consumes less power than conventional 6T and 8T cells during read/write operations and gives higher stability during write and hold modes. It consumes higher power than conventional 6T and 8T cells during hold mode and provides lower stability in read mode due to direct contact of bit lines with storage nodes. A comparative analysis of proposed and conventional 8T MOSFET SRAM has been done and the SRAM parameters are tabulated. The simulation is carried out using Stanford University 32 nm CNTFET model in HSPICE simulation tool. [ABSTRACT FROM AUTHOR]

This paper presents a novel inexact full adder based on carbon nanotube field-effect transistors (CNTFET) for approximate computations, which has soared in popularity especially for image processing applications. The proposed design generates the output carry without error. Therefore, the propagation of incorrect value to higher bit positions is avoided. It has the least relative error distance (Relative ED) compared to other approximate full adders reported in the literature. Practical simulations by using MATLAB demonstrate higher peak signal to noise ratio (PSNR) and image quality for motion detector image processing application. HSPICE simulations also confirm the efficiency of the proposed design. Moreover, area occupation is investigated by using electric tool. Power consumption, delay, area and ED are important evaluating factors in this subject. Comparisons are made by a comprehensive parameter (PDAEDP), based on which the new design has 23.8%, 41.5%, 70.5%, 78% and 83.6% higher performance than TGA1, TGA2, AXA1, AXA2 and AXA3, respectively. [ABSTRACT FROM AUTHOR]