Citation

Saggurthi, Spandana and Nayyar, Anand and Ahammad, Sk Hasane and Yogarayan, Sumendra (2026) Low-Noise, High-Gain 28 GHz LNA Design Using Multi-Objective Optimization with NSGA-II and MOPSO. Computers, Materials & Continua, 88 (3). pp. 1-10. ISSN 1546-2226

Text Low-Noise, High-Gain 28 GHz LNA Design Using Multi-Objective Optimization with NSGA-II and MOPSO.pdf - Published Version Restricted to Repository staff only Download (4MB)

Abstract

This work presents a multi-objective optimization framework for systematic design-space exploration of a 28 GHz single-stage cascode LNA (Low noise amplifier) in 22 nm FDSOI technology using NSGA-II and MOPSO algorithms.The objectives of the paper include simultaneous minimization of noise figure (NF) and power consumption while maximizing gain under matching and stability constraints. Using device parameters and circuit models that were developed for a 22 nm FDSOI process technology, an optimization framework was created in Python, with the passive components LG, LS , LD, LOUT, and COUT chosen to be the variables optimized.The NSGA-II optimized design achieves 1.7 dB NF, 17 dB gain, and 4.7 mW DC power, while MOPSO achieves 1.8 dB NF, 17.1 dB gain, and 5.0 mW power. NSGAII provides improved Pareto diversity and slightly better output matching, whereas MOPSO reduces computational time by 24% with comparable RF performance. The results demonstrate effective multi-objective design-space exploration and controlled algorithm benchmarking at the schematic-level for mm-wave LNA design.

Item Type:	Article
Uncontrolled Keywords:	Internet of things (IoT)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	04 Sep 2026 04:26
Last Modified:	04 Sep 2026 04:26
URII:	http://shdl.mmu.edu.my/id/eprint/16714

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