Design and Analysis of 2.4 GHz $30~\mu \text{W}$ CMOS LNAs for Wearable WSN Applications

Kargaran, Ehsan; Manstretta, Danilo; Castello, R.

doi:10.1109/tcsi.2017.2771940

Cited by 46 publications

(21 citation statements)

References 20 publications

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“…The power consumption of LNA at required frequency range (1.3-1.5 GHz, Figure 4A) can be estimated around 160 µW (Parvizi et al, 2016). However, this is a wideband LNA and the power consumption of narrowband LNA can be lower (Kargaran et al, 2018). Moreover, PD circuits with power consumption lower than 100 µW are realized in the literatures (Li et al, 2010;Qayyum and Negra, 2017).…”

Section: Hand-written Digit Recognition Applicationmentioning

confidence: 99%

LAO-NCS: Laser Assisted Spin Torque Nano Oscillator-Based Neuromorphic Computing System

et al. 2020

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Dealing with big data, especially the videos and images, is the biggest challenge of existing Von-Neumann machines while the human brain, benefiting from its massive parallel structure, is capable of processing the images and videos in a fraction of second. The most promising solution, which has been recently researched widely, is brain-inspired computers, so-called neuromorphic computing systems (NCS). The NCS overcomes the limitation of the word-at-a-time thinking of conventional computers benefiting from massive parallelism for data processing, similar to the brain. Recently, spintronic-based NCSs have shown the potential of implementation of low-power highdensity NCSs, where neurons are implemented using magnetic tunnel junctions (MTJs) or spin torque nano-oscillators (STNOs) and memristors are used to mimic synaptic functionality. Although using STNOs as neuron requires lower energy in comparison to the MTJs, still there is a huge gap between the power consumption of spintronic-based NCSs and the brain due to high bias current needed for starting the oscillation with a detectable output power. In this manuscript, we propose a spintronic-based NCS (196 × 10) proof-of-concept where the power consumption of the NCS is reduced by assisting the STNO oscillation through a microwatt nanosecond laser pulse. The experimental results show the power consumption of the STNOs in the designed NCS is reduced by 55.3% by heating up the STNOs to 100 • C. Moreover, the average power consumption of spintronic layer (STNOs and memristor array) is decreased by 54.9% at 100 • C compared with room temperature. The total power consumption of the proposed laser assisted STNO-based NCS (LAO-NCS) at 100 • C is improved by 40% in comparison to a typical STNO-based NCS at room temperature. Finally, the energy consumption of the LAO-NCA at 100 • C is expected to reduce by 86% compared with a typical STNO-based NCS at the room temperature.

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Section: Hand-written Digit Recognition Applicationmentioning

confidence: 99%

LAO-NCS: Laser Assisted Spin Torque Nano Oscillator-Based Neuromorphic Computing System

et al. 2020

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“…A WSN consists of a plethora of different distributed sensor nodes and has many application such as smart homes, home care systems, surveillance, and automation [18], [19]. Besides other stringent requirements, an ultra-low power dissipation, small form-factor, and low cost are the key requirements for WSN based transceivers [17]- [20]. Moreover, several WSN applications such as wireless body area networks, wearable WSN and wireless medical telemetry need to harvest energy from the environment.…”

Section: G Wireless Sensor Network (Wsns) 1) Potentialsmentioning

confidence: 99%

“…developments in ICs, transistor scaling and fabrication processes [1]- [3], this progress is essentially credited to the efficient integration and packaging methods [1]. The role of such integration methods is expected to proliferate in the future, because of the emergence of innovative applications such as 5G wireless technology [4]- [14], IoT wireless devices and systems [15], WSNs [16]- [20], and Smart Cities [21], [22], FIGURE 1. SoC based integration method: All sections of the wireless system including antennas are integrated on the same substrate, thus eliminating the need of lossy bond wires in contrary to other integration methods and resulting in a more compact, low loss, low power and cost-effective wireless modules.…”

Section: Introductionmentioning

confidence: 99%

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

et al. 2019

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The ever-growing demand for low power, high performance, cost-effective, low-profile, and highly integrated wireless systems for emerging applications has triggered the need for the enormous innovations in wireless transceiver systems, components, architectures and technologies. This is especially valid for the antenna which is an integral component of the wireless transceiver systems and contributes significantly in determining their overall performance. Antenna-on-Chip (AoC) is an alternative antenna technology, which has drawn a substantial attention in recent days because of its various benefits over off-chip antenna technology. A few of these benefits include miniaturization, low power, low cost, and high integration of the wireless modules. Motivated by these valuable advantages and to unveil the true potential of the AoCs, this article presents, for the first time, a comprehensive survey of the suitability, advantages, and challenges of the AoCs for the emerging wireless applications such as 5th generation (5G) Wireless Systems, Internet-of-Things (IoT) Wireless Devices and Systems, Wireless Sensor Networks (WSNs), Wireless Interconnects, Wireless Energy Transfer, Radio Frequency (RF) Energy Harvesting, Biomedical Implants, Unmanned Aerial Vehicles (UAVs), Autonomous vehicles, Innovative characterization methods for Integrated Circuits (ICs) and Antennas, and Smart City. In addition, this article presents the current stateof-the-art of the AoC's applications by classifying their applications in Millimeter-Wave (MM-Wave) band, Terahertz (THz) band, and low-frequency bands. The article also investigates and describes some useful methods for the mitigation of the challenges and issues posed by the emerging applications for the realization of the AoCs in a systematic manner. A concise description of the future directions of the AoCs with respect to each emerging application is also a part of this article. It is expected that this well-structured and organized survey will not only act as an excellent source of scholarship for the relevant research community, but also open up a world of novel research opportunities.

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“…Inductive source degeneration, CCC, current bleeding branch, positive feedback, and noise canceling techniques have been deputed for noise reduction. Current reuse technology, ultra‐low voltage design (ULV), forward body biasing (FBB) and CCC are chosen for power reduction. Cascode configuration and resistive feedback are elected for bandwidth enhancement.…”

Section: Introductionmentioning

confidence: 99%

Survey on parameter optimization of mobile communication band low noise amplifier design

Roobert¹,

Rani²

2019

Int J RF Microw Comput Aided Eng

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A comparative study on recent works on low noise amplifiers (LNAs) designed to be operated at mobile communication band is performed in this article. Here, specifications of different generations of mobile communication are listed, which are considered to classify recent works on LNAs. Even though gain and noise figure (NF) are the primary parameters of LNA; other parameters like power, linearity, bandwidth, and area also get importance. Due to this, optimization techniques handpicked for all those parameters are discussed. The inverse relation between gain and NF is exploited to achieve low noise and high gain together. While increasing the gain, power consumption is increased by drain current. Each LNA is found as good in terms of gain and other parameters to satisfy the requirements. The figure of merit is opted to find the performance of each LNA, and the comparison is performed. The best parameters reported in the comparison are 31.53 dB of gain, 0.7 dB of NF, 0.03 mw of power consumption, 18.14 dBm of third-order input intercept point (IIP3), 24 GHz bandwidth and 0.0052 mm 2 of area at different frequencies and technology nodes. In this survey, as per the optimized FoM for mobile communication, crosscoupled common gate differential LNA, which was designed to be operated at 0.3 to 2.96 GHz gives better results among CMOS LNAs.

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Design and Analysis of 2.4 GHz $30~\mu \text{W}$ CMOS LNAs for Wearable WSN Applications

Cited by 46 publications

References 20 publications

LAO-NCS: Laser Assisted Spin Torque Nano Oscillator-Based Neuromorphic Computing System

LAO-NCS: Laser Assisted Spin Torque Nano Oscillator-Based Neuromorphic Computing System

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

Survey on parameter optimization of mobile communication band low noise amplifier design

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