Faculty Publications
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Item Investigation of CMOS Based Integration Approach Using DAI Technique for Next Generation Wireless Networks(Springer New York LLC barbara.b.bertram@gsk.com, 2019) Roy, G.M.; Kanuajia, B.K.; Dwari, S.; Kumar, S.; Song, H.This research work investigates a CMOS based low noise amplifier (LNA) using differential active inductor with eight-shaped patch antenna for next generation wireless communication. The proposed work conceded into three different phases. The first phase proposes LNA architecture which includes multistage cascode amplifier with a gate inductor gain peaking technique. The ground approach for this architecture employs active inductor technique that includes two stages of differential amplifier. The proposed novel technique leads to give incremental in inductance by using of common mode feedback resistor and lowers the undesirable parasitic resistance effect. Additionally, this technique offers gain enhanced noise cancellation and achieves a frequency band of around 5.7 GHz. The proposed architecture includes single stage differential AI and enhances the bandwidth up to 6.8 GHz with peak gain of 21 dB at 7.8 GHz. The noise figure and stability factor are achieved which is reasonably good at 1 dB. The proposed architecture is design and optimized on advanced design RF simulator using 0.045 µm CMOS process technology. While in second phase, a narrow band eight-shaped patch antenna is designed which provides operating band range from 5.8 to 6.5 GHz with 6.2 GHz resonating frequency. Highest peak gain of 15 dB and maximum radiation power of 42.5 dBm is succeed by proposed antenna. The final phase provides integration strategy of LNA with antenna and achieves desired gain of nearly 21 dB with minimum NF of 1.2–1.5 dB in the same band. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.Item Active feedback supported CMOS LNA blended with coplanar waveguide-fed antenna for Wi-Fi networks(John Wiley and Sons Inc, 2021) Roy, G.M.; Dwari, S.; Kumar Kanaujia, B.K.; Kumar, S.; Song, H.This study presents integration of complementary CMOS active feedback low noise amplifier with coplanar waveguide fed patch antenna for Wi-Fi networks. The LNA design-I, involves a cascode amplifier followed by active feedback common source amplifier offering wideband impedance matching with lowered parasitic losses. The inductor-less feedback mechanism is used to nullify noise effect with extended bandwidth in the range of 2.2 to 5.8 GHz and a peak forward gain of 22.5 dB. It is implemented on agilent's advance design system using 45 nm CMOS process. The noise figure (NF) is approximately 2 dB while the stability factors µ and µ prime are well above 1 dB with IIP3 of about 15 dBm. The chip area is 0.57 x 0.57 mm2 under dc power supply of 1V while power consumption of 0.8 mW. A CPW fed antenna design-II, achieves a wide band response similar to the bandwidth of LNA. The size of the fabricated antenna is calculated as 40 x 40 mm2. The peak gain is approximately 4.1 dBi at 3.9 GHz. The codesign-III, proposes a receiver achieving a much wider band of 1.6 to 6 GHz with a gain of 16.5 dB and NF of 2.59 dB at 2.06 GHz. The codesign improves the system integration by reducing overall chip area and offers saving in the effective cost. © 2021 The Authors. IET Microwaves, Antennas & Propagation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.Item An artificial bridge circuit approach between two biological neurons using nanoscale topologies towards paralytic disorders(Elsevier Ltd, 2023) Haque, M.N.; Gorre, P.; Naik, D.N.; Kumar, S.; Al-Shidaifat, A.; Song, H.The advent of Nanoscale IC technology towards pulse-based neural systems reactivates the dead nervous about restoring the functionality of paralytic disorders. This work reports in first time a design of a novel CMOS biological neuron system, which replaces a dead neuron between two neurons to restore communication in paralyzed individuals. The work binds into three stages: design of a spiking leaky Integrator and Fire (LIF) neuron with refractory period mechanisms, which achieves a low power consumption of 2.4 μW, in the first stage; an adaptive homeostatic synapse with short and long-term spike plasticity, that reconfigure the spiking neuron networks of multichannel sensor electrodes to record the electric signal from the active cell as second stage; the final stage presents a low-power common source current reuse regulated cascode (CS-CR-RGC) TIA for amplifying the weak synapse current signal, which achieves a high gain of 135.71 dBΩ with an optimized noise performance of 0.19 pA/Hz. The entire work is designed and implemented using a CMOS 65 nm commercial process that occupies a die area of 400 μm × 120 μm. © 2023Item Performance Analysis of Novel Graphene Process Low-Noise Amplifier with Multi-stage Stagger-Tuned Approach over D-band(Springer, 2024) Nandini, P.; Naik, D.N.; Gorre, P.; Gupta, M.P.; Kumar, S.; Al-Shidaifat, A.; Song, H.This work reports an ultra-low noise, multi-stage stagger-tuned low-noise amplifier (MS-ST-LNA) over the D-band performance and achieves a best trade-off between noise, bandwidth, and gain parameters. The ultra-low-noise is achieved in three ways: First, the high-gain 3-stage stagger tuned amplifier (STA) realizes a 3X gain compared to the conventional single-stage amplifier, which sets a low floor noise. Second, the stagger-tuned amplifier achieves 1.6 times lower noise than the traditional single-stage amplifier. Finally, the stagger tune realizes a high-order transfer function, which mitigates the high-frequency noise. The full LNA is implemented and fabricated using a commercial nano-manufacturing 9-nm graphene film FET on a silicon wafer using a 0.065-?m commercial process, occupying an area of 0.21 mm2. The proposed design achieves an optimum performance: a maximum measured gain of 20.5 dB and a minimum noise figure (NF) of 4.2 dB over 123.7 to 162.5 GHz. The proposed LNA consumes ultra-low power consumption of 21.3 mW under the power supply of 1.2 V. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.