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

Roobert, A. Andrew; Rani, D. Gracia Nirmala

doi:10.1002/mmce.21720

Cited by 7 publications

(12 citation statements)

References 76 publications

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“…Calculation of the linear values of gain, NF, and IIP3 are explained in Roobert and Rani. 1 As organized in Table 5, the proposed design achieves higher FoM I than the state-of-the-art LNAs. In FoM II calculation, reference 14 secures the first place, and the proposed design comes next.…”

Section: Figure 11mentioning

confidence: 99%

“…Since mobile phones are battery-powered devices, the power consumption of the device is required to be as lower as possible. The drain current of the N 2 transistor is expressed as in (1). In addition, the LNA circuit is designed to amplify the signals of 0.9 and 2.3 GHz of dual frequency.…”

Section: Proposed Lna Designmentioning

confidence: 99%

“…The signals received at the gate and source of N 2 are in the same phase with each other. The drain current of the N 2 transistor is expressed as in (1). It depends on the drain to source voltage V DS2 , which varies with the V GS2 and V GD2 (2,3).…”

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confidence: 99%

“…When channel length modulation is considered, r 0 = (1+λV DS )/λI D,N . The drain current I D,N is given in Equation (1). The small-signal model is used for the impedance and gain calculation.…”

mentioning

confidence: 99%

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Design and analysis of 0.9 and 2.3‐GHz concurrent dual‐band CMOS LNA for mobile communication

Roobert¹,

Rani²

2019

Circuit Theory & Apps

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A complementary metal-oxide-semiconductor (CMOS) dual-band low-noise amplifier (LNA) for 2G/3G/4G mobile communications is presented. It operates at 0.9 and 2.3 GHz of frequencies. The dual-band operation is achieved by adding a modified notch-filtering path in the wideband LNA. The modified notch-filtering path does not require additional power to cancel the signals of the stop band frequency. The impact of the filtering path in the proposed LNA is analyzed. Improved results are observed in dual bands of frequency. Sustainability of the LNA under process corner variation and temperature variation are examined, and it is found to be suitable for the application. The proposed LNA is designed at 90-nm technology in Cadence Virtuoso with 0.5 and 0.6-V supply. The post-layout simulation shows 22 dB of gain (S 21 ), 2 dB of Noise Figure (NF), and −5.5 dBm of IIP3 at the high band. In the low band, 24 dB of S 21 , 2.7 dB of NF, and −6.65 dBm of IIP3 are reached. The circuit consumes 5.2 mW of power and 0.0918 mm 2 of area. The efficiency of the LNA is estimated by the figure of merit, and comparable results are secured in the proposed work.

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Section: Figure 11mentioning

confidence: 99%

Section: Proposed Lna Designmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Design and analysis of 0.9 and 2.3‐GHz concurrent dual‐band CMOS LNA for mobile communication

Roobert¹,

Rani²

2019

Circuit Theory & Apps

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“…Chances to improve the PP 16 (17) Increase in few DPs improves the BS probability. The probability for the BS by increasing the DP is calculated from (18). P BS DP ↑ = Chances to improve the PP by increasing DP 8 (18) Even though the reduction in DP reduces the required footprint area, the PP has to be saved.…”

Section: P Bs =mentioning

confidence: 99%

Design and optimisation of feedforward noise cancelling complementary metal oxide semiconductor LNA for 2.4 GHz WLAN applications

Roobert¹,

Rani²,

Rajaram³

2019

IET Circuits, Devices & Systems

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This study deals with the design and optimisation of two-stage complementary metal oxide semiconductor low noise amplifier (LNA) for wireless local area network (WLAN) applications. IEEE 802.11n WLAN standard provides up to 600 Mbps speed with 40 MHz channel bandwidth and high throughput. The receiver of these WLAN applications requires LNA with higher gain and minimum noise figure (NF). Elephant Herding Optimisation technique was involved for the first time to optimise the performance of the LNA. The post-layout simulation shows that a maximum gain of 26.7 dB at 2.4 GHz is achieved in the proposed design. Feedforward noise cancelation technique is involved to get a reduced NF of 1.12 dB. The first and second stages are tuned to cover the 3 dB maximum gain bandwidth of 3.2 GHz (from 1.7 to 4.4 GHz). This LNA is designed at 90 nm technology with the supply voltage of 0.5 and 1.2 V, and consumes 8.9 mW of power. Current reuse technology is used to reduce power consumption. The input and output return losses have been found to be −18 and −15 dB, respectively at the targeted 2.4 GHz frequency. Third-order input intercept point of the optimised LNA is −8.1 dBm.

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Optimal selection based K‐mean clustering technique to improve the energy efficiency in cognitive radio networks for 6G applications

Rajavel¹,

Aruna²,

Rajakumar³

2021

Int J Communication

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The main objective of the cognitive radio sensor network (CRSN) is to minimize the energy consumption in channel sensing and switching when sensor nodes sense and switch to a licensed channel for improving the energy efficiency for 6G applications. The drawback in CRSN is that the sensor network uses a higher amount of energy by intrabunch and interbunch of data emission energetic medium ingression assignment problem when the sensor nodes sense the channel. In this brief, a K-mean clustering technique (KMCT) is proposed for CRSN to minimize the energy used by the sensor nodes in CRSN for 6G applications. The KMCT-based joint power medium ingression technique (JPMIT) is introduced for enhancing the energy efficiency in a bunch of interdata emissions, and the KMCT-based energetic medium ingression technique (EMIT) is introduced for minimizing the energy utilization in a bunch of intradata emissions. Simulation results show that the proposed KMCT for CRSN provides a better result compared with existing techniques. The performance parameters such as medium available duration, data loss rate, quantity of data, number of authorized mediums, and probability of false alarm have been analyzed using MATLAB R2012a.

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

Cited by 7 publications

References 76 publications

Design and analysis of 0.9 and 2.3‐GHz concurrent dual‐band CMOS LNA for mobile communication

Design and analysis of 0.9 and 2.3‐GHz concurrent dual‐band CMOS LNA for mobile communication

Design and optimisation of feedforward noise cancelling complementary metal oxide semiconductor LNA for 2.4 GHz WLAN applications

Optimal selection based K‐mean clustering technique to improve the energy efficiency in cognitive radio networks for 6G applications

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