Mutually coupled body bias low noise amplifier using output transformer matching for 5G communication

Dheeraj Kalra; Manish Kumar; Mayank Srivastava

doi:10.2478/jee-2026-0019

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Mutually coupled body bias low noise amplifier using output transformer matching for 5G communication

Journal of Electrical Engineering

Volume 77 (2026): Issue 2 (April 2026)

By: Dheeraj Kalra, Manish Kumar and Mayank Srivastava

Open Access

|Apr 2026

Abstract

This manuscript presents the realization of low noise amplifier (LNA) for the sub 6 GHz applications having frequency range of 5.7 to 7 GHz with the bandwidth 1.3 GHz. The realized LNA uses the common gate topology decreasing the reflections at the input, i.e., to decrease the S₁₁ parameter, cascode topology is used to enhance the gain of the circuit while source follower topology is used to for the output impedance matching and transformer matching is employed to further enhance the S₂₂ parameter. The body biasing for the connected MOS is done through the RL circuit connected between body and drain. The realized LNA has a maximum gain value of 11.35 dB, minimum S₁₁ value of –22.35 dB, minimum NF value of 2.08 dB and minimum S₂₂ value of –10.06 dB at 6.03 GHz. The process corner simulation for the slow-slow and fast-fast corners are also done and observed that LNA parameters values are under the range. The realized LNA consumes V_DD=1.8 V, with current consumption of 11.40 mA, i.e., having power consumption of 20.52 mW.

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Articles in this issue

DOI: https://doi.org/10.2478/jee-2026-0019 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632

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Language: English

Page range: 183 - 188

Submitted on: Feb 20, 2026

Published on: Apr 18, 2026

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 6 issues per year

Keywords:

Common Gate,

Body Bias Noise Figure

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2026 Dheeraj Kalra, Manish Kumar, Mayank Srivastava, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 77 (2026): Issue 2 (April 2026)