Notice of Violation: A Dual-Band Beam Steering Multifunctional Reconfigurable Antenna Optimized by Non-Dominated Sorting Genetic Algorithm (NSGA-II) for Wi-Fi 6 Applications

IEEE Transactions on Antennas and Propagation(2022)

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摘要
Notice of Violation

“A Dual-Band Beam Steering Multifunctional Reconfigurable Antenna Optimized by Non-Dominated Sorting Genetic Algorithm (NSGA-II) for Wi-Fi 6 Applications”
by Junlin Pu, Bing Zhang, Yanping Zhou, Kama Huang, Tiancang Zhang, and Juan Yang
published in the IEEE Transactions on Antennas and Propagation, Digital Object Identifier: 10.1109/TAP.3209180

The authors of this paper violated the IEEE’s Publication Principles. An author name was included in the Early Access version of this paper who did not contribute to the work and was added without their consent. The non-contributing author’s name has been removed


A design and optimization method to realize a beam steering multi-functional reconfigurable antenna (MRA) working at two independent frequencies with an octave range frequency span is proposed. While the conventional MRAs (multi-functional reconfigurable antennas) have lacked frequency reconfigurability, the proposed design and optimization method manage to realize a beam steering MRA at two operating frequencies. To verify, a dual-band beam steering MRA working at 2.45 GHz and 5.3 GHz is designed to be compatible with the IEEE 802.11 ax for Wi-Fi 6 applications. The proposed MRA consists of a feed layer, a dual-band aperture-coupled driven patch, and a parasitic pixel layer. The driven patch is designed to ensure sufficient coupling with the parasitic layer at both two frequencies. The parasitic layer consists of a 6×6 planar array of rectangular pixels interconnected by positive-intrinsic-negative (PIN) diode switches. By optimizing the switches’ modes with the non-dominated sorting genetic algorithm (NSGA-II), the MRA’s beams are regulated at directions of θ xz =0°, ±30° for both 2.45 GH and 5.3 GHz. This work manages to explore the potential of the traditional MRA for frequency reconfigurability applications, besides its widely-reported radiation pattern reconfigurability. The proposed MRA is a capable candidate as a Wi-Fi 6 router antenna. The design and optimization method of the MRA based on NSGA-II by Python are summarized systematically in an easy-to-follow manner, which is instructive for MRA designers.
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关键词
sorting genetic algorithm,genetic algorithm,dual-band,non-dominated
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