Design of CMOS based LNA for 5G Wireless Applications

Roobert, A. Andrew; Rani, D. Gracia Nirmala; Divya, M.; Rajaram, S.

doi:10.1145/3193092.3193095

Cited by 11 publications

(10 citation statements)

References 8 publications

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“…In the existing works, power reduction has been obtained using body biasing, threshold voltage reduction, scaling down of supply This reduces the drain current I D and decreases the power consumption of the CG stage (8).…”

Section: Power Reductionmentioning

confidence: 99%

“…Instead of that, current reuse technology and sub-threshold operations are recommended to reduce the power consumption of the circuit [5,6]. Implementing stagger tuning technique and resistive shuntfeedback configuration can increase the bandwidth [7][8][9]. While considering the NF and power dissipation, stagger tuning technique is better to achieve wideband.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Power Reductionmentioning

confidence: 99%

Section: Introductionmentioning

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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“…The previous generations of communication technologies like 5G, 4G, 3G, and 2G have been mostly used in the above-mentioned applications. 25,26 For the IoT and other low-power applications, the previous generations of communication technologies were also recommended. When 6G communication technology is considered, it can support all of the advanced applications of recent days.…”

Section: Introductionmentioning

confidence: 99%

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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“…The rising demand for high data rates and high speed in wireless communication systems is increasing the necessities on the transceiver front-ends, as they are pushed to exploit more and more extensive bands at higher frequencies, faster data transfer rates and wider bandwidths [1]. The work in this proposed article is focused on design and analysis of CMOS RF receiver front-ends composed of LNAs for wireless applications operating at microwave frequencies [2].…”

Section: Introductionmentioning

confidence: 99%

Low Noise Amplifier Design of CMOS Inductorless with Noise Cancellation Technique

Mudavath,

Kishore,

Madupu

et al. 2019

IJEAT

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This article presents the Low Noise Amplifier (LNA) design of CMOS Inductorless with noise cancellation (NC) technique for portable wireless receivers. An Inductorless CMOS LNA for multi-standard wireless applications with lessarea, single-chip is presented. This NC technique is used to cancel out the noise involvement in LNAs at the output of matching device. The proposed Inductorless CMOS LNA designed in a CMOS 45nm GPDK technology process. The simulated results within the frequency range of 1.04GHz-1.8GHz are considered here. The maximum gain has achieved 20dB @ 1.04GHz, 23dB @ 1.8GHz and a low NF of 1.2dB @ 1.04GHz, 0.6dB @ 1.8GHz. The input and output reflection coefficients are obtained as less than -10dB it is desirable value to fit in this LNA.

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Design of CMOS based LNA for 5G Wireless Applications

Cited by 11 publications

References 8 publications

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

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

Low Noise Amplifier Design of CMOS Inductorless with Noise Cancellation Technique

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