An Unknown Interference Suppression Scheme for Advanced Antenna Systems

Authors

  • L. T. Trang School of Electrical and Electronic Engineering Hanoi University of Industry, Hanoi, Vietnam, Faculty of Electronics and Telecommunications Electric Power University, Hanoi, Vietnam
  • N. V. Cuong School of Electrical and Electronic Engineering Hanoi University of Industry, Hanoi, Vietnam https://orcid.org/0000-0001-8877-7735
  • H. T. P. Thao Faculty of Electronics and Telecommunications Electric Power University, Hanoi, Vietnam
  • T. V. Luyen School of Electrical and Electronic Engineering Hanoi University of Industry, Hanoi, Vietnam

DOI:

https://doi.org/10.13052/2025.ACES.J.400304

Keywords:

Binary Grey Wolf Optimization, constraint handling techniques, static penalty method, uniform rectangular arrays, unknown interference suppression

Abstract

An unknown interference suppression scheme for advanced antenna systems has been proposed to address critical challenges in enhancing wireless communication networks. This scheme focuses on improving beamforming capabilities and spectral efficiency while minimizing the impact of unknown interference. The ability to suppress unknown interference is achieved through a fitness function that does not rely on prior knowledge of interference characteristics. This function is designed based on the assumption that the desired signal is received through the main lobe, while interference predominantly resides in the sidelobes. By incorporating a constraint handling technique, specifically the static penalty method, the fitness function ensures that total output power is minimized only when interference power in the sidelobes is effectively reduced. Additionally, the optimization process is streamlined by reducing the number of optimization variables, focusing on uniform rectangular arrays with square element distributions. Metaheuristic algorithms, including the Binary Bat Algorithm, Binary Grey Wolf Optimization, and Binary Whale Optimization Algorithm, are applied to adaptively suppress unknown interference while reducing computational complexity. The proposed scheme significantly enhances advanced antenna systems performance by steering adaptive nulls toward unknown interference sources, ensuring robustness in dynamic wireless environments.

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Author Biographies

L. T. Trang, School of Electrical and Electronic Engineering Hanoi University of Industry, Hanoi, Vietnam, Faculty of Electronics and Telecommunications Electric Power University, Hanoi, Vietnam

Le Thi Trang obtained both the B.E. degree and the M.S. degree from the Institute of Military Technology in 2007 and 2011, respectively. Her research interests primarily focus on beamformers, smart antennas, nature-inspired optimization algorithms, and constraint handling techniques.

N. V. Cuong, School of Electrical and Electronic Engineering Hanoi University of Industry, Hanoi, Vietnam

Nguyen Van Cuong received the Engineer’s and master’s degrees from Hanoi University of Industry, in 2020 and 2022, respectively. His research interests include emerging wireless communication technologies, metaheuristics algorithms, deep learning, and convex optimization.

H. T. P. Thao, Faculty of Electronics and Telecommunications Electric Power University, Hanoi, Vietnam

Hoang Thi Phuong Thao was born in Vietnam in 1981. She received the Diploma of Engineer (2004), Master of Science (2007), and Ph.D. degree (2019) in Electronics and Telecommunications from Hanoi University of Science and Technology, Vietnam. Her research interests are designing antenna, localization systems, and wireless communication technology.

T. V. Luyen, School of Electrical and Electronic Engineering Hanoi University of Industry, Hanoi, Vietnam

Tong Van Luyen received the B.S. and M.S. degrees from the Hanoi University of Science and Technology, in 2002 and 2004, respectively, and Ph.D. degree from VNU University of Engineering and Technology in 2019. His research interests are in beamforming and beam steering for antenna arrays, smart antennas, optimum array processing, nature-inspired optimization algorithms, and artificial intelligence.

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Published

2025-03-30

How to Cite

[1]
L. T. . Trang, N. V. . Cuong, H. T. P. . Thao, and T. V. . Luyen, “An Unknown Interference Suppression Scheme for Advanced Antenna Systems”, ACES Journal, vol. 40, no. 03, pp. 192–202, Mar. 2025.

Issue

2025: Vol 40 Iss 3

Section

General Submission

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