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Ultra-low-power CMOS ring oscillator with minimum power consumption of 2.9 pW using low-voltage biasing technique

  • Durgham Al-Shebanee EMAIL logo
Published/Copyright: February 22, 2024
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Abstract

The need for low-power low-voltage circuit so lutions increases significantly with the rapid spread of wireless sensor network (WSN) and energy harvesting applications. The design of Complementary Metal-Oxide Semiconductor (CMOS) oscillators in sub-threshold region is challenged by the limits of the minimum start-up sup ply voltage, the power available from the harvester, die area, the demand of fully integrated CMOS circuits, and the additional auxiliary circuits that are needed to stabilize the frequency vs a supply voltage V DD. In this work, low-power CMOS oscillator with a simplified design is proposed in order to overcome the aforementioned obstacles. The circuit is designed using 2.5 µm 2-polySi 2-metal CMOS technology from IMB–CNM (CSIC) [1] with a threshold voltage of n-channel metal oxide semiconductor NMOS and p-channel metal oxide semiconductor PMOS transistors of 0.86 and −1.52 V, respectively. The suggested oscillator is capable to start up even in the deep sub-threshold region at V DD of 0.25 V. Accordingly, the minimum power consumption is 2.9 pW with an oscillation frequency of 2 Hz. The circuit can produce a P–P voltage of the oscillation signal equal to the supply voltage within a power supply range of 0.25–1.25 V.

1 Introduction

Oscillators are an essential part of various electronic circuits like clock generators, timers, audio and video sys tems, radio frequency (RF) systems, and power management applications. In energy harvesting applications, the voltage produced by the transducer is extremely low. Thus, DC to DC (DCDC) voltage converter is needed to reach an accepted output DC voltage that is sufficient for a conventional electronic circuit. DCDC converters use oscillators to drive the switches of the charge pumps or inductor-based voltage converter. Consequently, as the oscillator can start up with low voltage, the harvested power can be usable even in challenging conditions such as low light intensity for solar cells or a far distance between the receiver and transmitter in RF energy harvesting. Low frequency timers, on the other hand, are necessary circuits in WSNs and Internet of Things (IOT) applications. The oscillator type and design can be determined according to the supply voltage. The minimum V DD needed to start- up the inductor-capacitor (LC)-based oscillator is lower than that needed for the ring oscillator. The low-voltage oscillator proposed by Radin et al. [2] is based on using four off-chip inductors as shown in Figure 1. The high ratio of L2/L1 reduces the minimum supply voltage required to start-up the oscillator and increases the amplitude of the generated signal. The oscillator starts up at 7.3 mV. Unlike off-chip inductors, on-chip inductors can be used in various applications like RF applications [3] and low voltage oscillators. An on-chip inductor has been used in low- voltage oscillator [4]. An oscillation signal of 1 GHz has been generated with a minimum supply voltage of 200 mV. In addition to the required large die area, the high frequency signal can cause high losses. Moreover, various solutions have been given by CMOS technology in low-power circuits like DCDC converters [5]. Ring oscillators give a competitive choice in opposition to the lossy on-chip inductor or the undesired off-chip inductor. The conventional oscillator can be simply built by several inverters as shown in Figure 2. However, operating the ring oscillator with low supply voltage is challenged by the need for high open loop gain [6]. Consequently, a large number of inverter stages is needed while every stage is built by extra wide transistors that consume undesirable high power. For low supply voltage applications, NMOS and PMOS transistors are biased in sub-threshold region. The drain–source current I d is expressed as follows [7]:

(1) I ds = μ n C ox ϕ t 2 W n L n 1 k n k n e k n V g V s V th ϕ t ,

where µ n is the carrier mobility, C ox is the gate oxide capacitance, φ t is the thermal voltage, W n and L n are the width and length of the transistor, respectively, k n is the capacitive-divider ratio, V th is the threshold voltage, V g is the gate voltage, and V s is the source voltage. Equation (1) shows clearly how V gs and V th have a dominant effect on the current and the gain. As high gain is obtained, a low supply voltage is capable to start up the oscillation. As mentioned above, it is possible to increase the open loop gain by using a large number of stages accompanied with high -power budget. Various topologies have been given to lower the minimum V DD limit of ring oscillators [8,9,10,11]. A low-voltage oscillator based on a 3-stage redundant inverter composed of 7 stages is presented by Luo et al. [12] (Figure 3). The oscillator starts up at 45 mV. Nevertheless, the oscillator requires large number of inverters that consume additional power. For low-frequency timers, numerous designs have been given in the literature. A current-starved inverter based oscillator has been used in Kalburgi et al. [13] with oscillation frequency of 32.768 kHz. The frequency has been stabilized with temperature using a temperature independent current source. However, the supply voltage range is narrow while the minimum needed V DD and power consumption are high. Another design of low-power relaxation oscillator based on Wheatstone bridge scheme has been given by Chen et al. [14] with frequency of 16.5 kHz. The power consumption is relatively high. An alternative topology for the conventional inverters has been presented by Ponce et al. [15] with frequency of 0.0308 Hz. This circuit uses CMOS thyristors as delay elements in a ring oscillator with a small number of inverters so that the area and the power consumption are reduced. The minimum needed supply voltage is high for low-power applications. An oscillation signal with a frequency of 1.82 Hz has been generated by Barbruni et al. [16] to be used in medical applications. This circuit based on a voltage controlled oscillator that uses down-scaling technique of the transistor. The power consumption is undesirably high. A low frequency relaxation oscillator in neuromorphic applications has been given by Cheng et al. [17]. The circuit adopts 250 pA charging current for low oscillation frequency. A reconfigurable frequency from 3.15 to 81.3 Hz has been obtained while the supply voltage is high. Another topology for charging a capacitor using a differential leakage technique has been presented by Nishio et al. [18]. The frequency of the generated signal is 0.11 Hz while the minimum power consumption is 4.5 pW. The supply voltage range is narrow and it strongly influences the oscillation frequency. A timer with a wider supply voltage range and less line sensitivity has been reported by Kobayashi and Niitsu [19]. The timer is based on the gate leakage technique without using an amplifier. However, the power consumption is relatively high concerning the ultra-low-power applications.

Figure 1 
               Off-chip inductor-based oscillator with minimum V
                  DD of 7.3 mV [2].
Figure 1

Off-chip inductor-based oscillator with minimum V DD of 7.3 mV [2].

Figure 2 
               Conventional ring oscillator with push–pull inverter used as a construction unit.
Figure 2

Conventional ring oscillator with push–pull inverter used as a construction unit.

Figure 3 
               3-stage redundant inverter used in low 7-stage voltage oscillator [12].
Figure 3

3-stage redundant inverter used in low 7-stage voltage oscillator [12].

The main aim of this work is to present a design that avoids off-chip solutions like inductors. Moreover, the on-chip inductors and capacitors are also avoided in this work in order to reduce the die area. This work presents an alternative solution of using frequency divider stages, or delay stages that are used to lower the oscillation frequency. Minimum supply voltage limit is the prior criteria in this design. Therefore, the circuit design aims to operate the circuit in sub-threshold region. A wide supply voltage range is preferable in order to keep the oscillator performance stable with V DD variations.

In this work, ultra-low-power oscillator is presented with a simplified methodology that lowers the minimum V DD required to start-up the oscillation. Instead of the conventional inverter topologies, the suggested circuit is based on modified inverter stages that are capable to work in the deep sub-threshold region. Moreover, a reference voltage circuit is used to stabilize the frequency of the generated signal and the drawn current when the supply voltage increases. The rest of this work is presented as follows: Section 2 explains the proposed methodology for a low-power low-voltage oscillator including the circuit topology. Section 3 lists the main design parameters and demonstrates the simulation results with analysis. Section 4 summarizes the conclusion of this work.

2 Circuit structure and operation concept

As explained in Section 1, the push–pull inverters represent the ordinary construction unit of ring oscillators. Alternatively, a common source inverter stage is suggested as shown in Figure 4. The transistor Mosc2 is used as a current source that is biased in the deep sub-threshold region as it is expected that the supply voltage is less than V th. In ordinary circuit topology, it is expected that the drawn current increases exponentially with the power supply. Consequently, the clock frequency increases so that the power losses is maximized. On the other side, biasing the oscillator with a constant current is necessary to guarantee a constant frequency and stable power consumption with the supply voltage. According to the given topology, with proper sizing of the used devices, the Peak-to-Peak P–P voltage of the oscillation signal can be equal to V DD for a wide range of power supply variations. A supply independent voltage reference circuit has been used to produce the signal V ref as shown in Figure 4. The biasing circuit is based on the conventional technique that has been given previously in literature for the cancellation of the threshold voltage temperature coefficients of the NMOS transistors. However, in this topology, standard NMOS transistors have been used while the reference voltage is proportionally related to temperature because the transistor Mb1 is wider than Mb2. The signal V ref is applied to the gate terminal of Mosc2 to guarantee a constant drain current even when the power supply is changed. Consequently, the frequency is stabilized with supply voltage.

Figure 4 
               Ultra-low-power CMOS ring oscillator using common source inverter stage and reference voltage circuit.
Figure 4

Ultra-low-power CMOS ring oscillator using common source inverter stage and reference voltage circuit.

3 Design and simulation results

The proposed oscillator has been designed using 2.5 µm 2-polySi 2-metal CMOS technology from IMB–CNM (CSIC) [20] while the circuit has been built using Glade (Gds, Lef and Def Editor) as an IC layout and schematic editor [21]. Standard NMOS and PMOS transistors have been used without low V th or native devices. The oscillator consists of 11 stages. The sizes of PMOS transistors have been maximized because of the high threshold voltage. In order to increase V ref, the aspect ratio of Mb1 has been enlarged to be much higher than that of Mb2. Table 1 shows the aspect ratios of the transistors used in the circuit. The operation conditions of the circuit match with the expected practical conditions of sharp variations in supply voltage as well as ultra-low-power available from the source. The circuit simulation has been performed using SPICE engine for Optimization Utilities SPICE OPUS [22]. The reference voltage has been defined to be 0.2 V and it is kept stable against the supply voltage variation as shown in Figure 5. The simulation results show that the minimum supply voltage required to start up the oscillation is 0.25 V with a signal frequency of 2.04 Hz. This is well below the threshold voltages of the used transistors so that the oscillator can start-up in deep sub-threshold region. The drawn current at minimum supply voltage is 11.5 pA as shown in Figure 6. The biasing signal V ref keeps the drawn current in minimum possible range when the supply voltage increases. Consequently, the frequency has been relatively stabilized with V DD as shown in Figure 7. The circuit is capable to generate an undistorted signal with P–P voltage equal to V DD within the same supply voltage range as demonstrated in Figures 8 and 9. The simulation results show that the minimum V DD, the range of V SS variations, and power consumption are comparable to the previously published literature as shown in Table 2.

Table 1

Sizes of transistors

Transistor name W L
Mosc1 15 3 μm 3 μm
Mosc2 3 μm 4 μm
Mb1 40 μm 3 μm
Mb2 3 μm 3 μm
Figure 5 
               Variation in the biasing signal V
                  ref with the supply voltage.
Figure 5

Variation in the biasing signal V ref with the supply voltage.

Figure 6 
               Variation in the total drawn current with the supply voltage.
Figure 6

Variation in the total drawn current with the supply voltage.

Figure 7 
               Variation in the oscillation frequency with the supply voltage.
Figure 7

Variation in the oscillation frequency with the supply voltage.

Figure 8 
               The output signal V
                  osc with a supply voltage of 0.25 V.
Figure 8

The output signal V osc with a supply voltage of 0.25 V.

Figure 9 
               The output signal V
                  osc with a supply voltage of 1.25 V.
Figure 9

The output signal V osc with a supply voltage of 1.25 V.

Table 2

Performance comparison

This work [15] [16] [17] [18] [19] [13] [14]
Technology 2.5 µm 350 nm 180 nm 130 nm 130 nm 55 nm 180 nm 180 nm
Frequency (Hz) 2 0.0308 1.82 3.15–81.3 0.11 322 32,768 16,500
Supply Voltage (V) 0.25–1.25 3.3 1.8 3.3 0.29 0.35 1.7–1.9 1.2–1.9
Min. power 2.9 pW 1.98 nW 1.82 nW 24 nW 4.5 pW 22 nW 250 nW 22 nW

4 Conclusion

Ultra-low-power CMOS ring oscillator has been presented. The circuit can perform with minimum power consumption of 2.9 pW giving low-power solution for various applications that have low-frequency-driven circuits. Moreover, low-voltage biasing technique has been suggested in order to stabilize the current and frequency with supply voltage. The simulation results show that the oscillation frequency changes with 30% for the power supply range of 0.25–1.25 V. The oscillator starts up with minimum V DD of 0.25 V. As mentioned before, the threshold voltages of NMOS and PMOS transistors used in this design are 0.86 and −1.52 V, respectively. This guarantees that the minimum V DD limit required for oscillation can be lowered with another standard CMOS technology of less threshold voltage.

Acknowledgment

I would like to express my gratitude to the Ministry of Higher Education and Scientific Research in Iraq for granting me a sabbatical at RWTH Aachen University in Germany, as well as my thanks for the funding and support in this research in addition to the attribution and follow-up during the sabbatical duration. I would like to express my appreciation and thanks to the chair of Integrated Analog Circuits and RF Systems at RWTH Aachen University in Germany for hosting me and providing providing all that is necessary for the success of the research activity during the sabbatical duration.

  1. Funding information: The funding of this research including the scientific sabbatical at RWTH Aachen University in Germany was by the Ministry of Higher Education and Scientific Research in Iraq and RWTH Aachen University in Germany.

  2. Conflict of interest: The author states no conflict of interest.

  3. Data availability statement: Most datasets generated and analyzed in this study are in this submitted manuscript. The other datasets are avail-able on reasonable request from the corresponding author with the attached information.

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Received: 2023-02-15
Revised: 2023-04-11
Accepted: 2023-04-23
Published Online: 2024-02-22

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  133. Visible light-boosted photodegradation activity of Ag–AgVO3/Zn0.5Mn0.5Fe2O4 supported heterojunctions for effective degradation of organic contaminates
  134. Production of sustainable concrete with treated cement kiln dust and iron slag waste aggregate
  135. Key effects on the structural behavior of fiber-reinforced lightweight concrete-ribbed slabs: A review
  136. A comparative analysis of the energy dissipation efficiency of various piano key weir types
  137. Special Issue: Transport 2022 - Part II
  138. Variability in road surface temperature in urban road network – A case study making use of mobile measurements
  139. Special Issue: BCEE5-2023
  140. Evaluation of reclaimed asphalt mixtures rejuvenated with waste engine oil to resist rutting deformation
  141. Assessment of potential resistance to moisture damage and fatigue cracks of asphalt mixture modified with ground granulated blast furnace slag
  142. Investigating seismic response in adjacent structures: A study on the impact of buildings’ orientation and distance considering soil–structure interaction
  143. Improvement of porosity of mortar using polyethylene glycol pre-polymer-impregnated mortar
  144. Three-dimensional analysis of steel beam-column bolted connections
  145. Assessment of agricultural drought in Iraq employing Landsat and MODIS imagery
  146. Performance evaluation of grouted porous asphalt concrete
  147. Optimization of local modified metakaolin-based geopolymer concrete by Taguchi method
  148. Effect of waste tire products on some characteristics of roller-compacted concrete
  149. Studying the lateral displacement of retaining wall supporting sandy soil under dynamic loads
  150. Seismic performance evaluation of concrete buttress dram (Dynamic linear analysis)
  151. Behavior of soil reinforced with micropiles
  152. Possibility of production high strength lightweight concrete containing organic waste aggregate and recycled steel fibers
  153. An investigation of self-sensing and mechanical properties of smart engineered cementitious composites reinforced with functional materials
  154. Forecasting changes in precipitation and temperatures of a regional watershed in Northern Iraq using LARS-WG model
  155. Experimental investigation of dynamic soil properties for modeling energy-absorbing layers
  156. Numerical investigation of the effect of longitudinal steel reinforcement ratio on the ductility of concrete beams
  157. An experimental study on the tensile properties of reinforced asphalt pavement
  158. Self-sensing behavior of hot asphalt mixture with steel fiber-based additive
  159. Behavior of ultra-high-performance concrete deep beams reinforced by basalt fibers
  160. Optimizing asphalt binder performance with various PET types
  161. Investigation of the hydraulic characteristics and homogeneity of the microstructure of the air voids in the sustainable rigid pavement
  162. Enhanced biogas production from municipal solid waste via digestion with cow manure: A case study
  163. Special Issue: AESMT-7 - Part I
  164. Preparation and investigation of cobalt nanoparticles by laser ablation: Structure, linear, and nonlinear optical properties
  165. Seismic analysis of RC building with plan irregularity in Baghdad/Iraq to obtain the optimal behavior
  166. The effect of urban environment on large-scale path loss model’s main parameters for mmWave 5G mobile network in Iraq
  167. Formatting a questionnaire for the quality control of river bank roads
  168. Vibration suppression of smart composite beam using model predictive controller
  169. Machine learning-based compressive strength estimation in nanomaterial-modified lightweight concrete
  170. In-depth analysis of critical factors affecting Iraqi construction projects performance
  171. Behavior of container berth structure under the influence of environmental and operational loads
  172. Energy absorption and impact response of ballistic resistance laminate
  173. Effect of water-absorbent polymer balls in internal curing on punching shear behavior of bubble slabs
  174. Effect of surface roughness on interface shear strength parameters of sandy soils
  175. Evaluating the interaction for embedded H-steel section in normal concrete under monotonic and repeated loads
  176. Estimation of the settlement of pile head using ANN and multivariate linear regression based on the results of load transfer method
  177. Enhancing communication: Deep learning for Arabic sign language translation
  178. A review of recent studies of both heat pipe and evaporative cooling in passive heat recovery
  179. Effect of nano-silica on the mechanical properties of LWC
  180. An experimental study of some mechanical properties and absorption for polymer-modified cement mortar modified with superplasticizer
  181. Digital beamforming enhancement with LSTM-based deep learning for millimeter wave transmission
  182. Developing an efficient planning process for heritage buildings maintenance in Iraq
  183. Design and optimization of two-stage controller for three-phase multi-converter/multi-machine electric vehicle
  184. Evaluation of microstructure and mechanical properties of Al1050/Al2O3/Gr composite processed by forming operation ECAP
  185. Calculations of mass stopping power and range of protons in organic compounds (CH3OH, CH2O, and CO2) at energy range of 0.01–1,000 MeV
  186. Investigation of in vitro behavior of composite coating hydroxyapatite-nano silver on 316L stainless steel substrate by electrophoretic technic for biomedical tools
  187. A review: Enhancing tribological properties of journal bearings composite materials
  188. Improvements in the randomness and security of digital currency using the photon sponge hash function through Maiorana–McFarland S-box replacement
  189. Design a new scheme for image security using a deep learning technique of hierarchical parameters
  190. Special Issue: ICES 2023
  191. Comparative geotechnical analysis for ultimate bearing capacity of precast concrete piles using cone resistance measurements
  192. Visualizing sustainable rainwater harvesting: A case study of Karbala Province
  193. Geogrid reinforcement for improving bearing capacity and stability of square foundations
  194. Evaluation of the effluent concentrations of Karbala wastewater treatment plant using reliability analysis
  195. Adsorbent made with inexpensive, local resources
  196. Effect of drain pipes on seepage and slope stability through a zoned earth dam
  197. Sediment accumulation in an 8 inch sewer pipe for a sample of various particles obtained from the streets of Karbala city, Iraq
  198. Special Issue: IETAS 2024 - Part I
  199. Analyzing the impact of transfer learning on explanation accuracy in deep learning-based ECG recognition systems
  200. Effect of scale factor on the dynamic response of frame foundations
  201. Improving multi-object detection and tracking with deep learning, DeepSORT, and frame cancellation techniques
  202. The impact of using prestressed CFRP bars on the development of flexural strength
  203. Assessment of surface hardness and impact strength of denture base resins reinforced with silver–titanium dioxide and silver–zirconium dioxide nanoparticles: In vitro study
  204. A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks
  205. Modification of the 5D Lorenz chaotic map with fuzzy numbers for video encryption in cloud computing
  206. Special Issue: 51st KKBN - Part I
  207. Evaluation of static bending caused damage of glass-fiber composite structure using terahertz inspection
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