Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm

Achilles D. Boursianis; Maria S. Papadopoulou; Stavros Koulouridis; Apostolos Georgiadis; Manos M. Tentzeris; Sotirios K. Goudos

doi:10.1109/AP-S/USNC-URSI47032.2022.9886108

Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm

Achilles D. Boursianis, Maria S. Papadopoulou, Stavros Koulouridis, Apostolos Georgiadis, Manos M. Tentzeris, Sotirios K. Goudos

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this work, the design and optimization of an FSS device are presented for dual-band operation in the frequency bands of LTE-2600 and 5G-FR1 cellular communication net-works. The proposed FSS device is designed by utilizing a recently introduced swarm-based meta-heuristic, namely the artificial hummingbird algorithm. The obtained numerical results of the proposed FSS device exhibit resonances at the frequency bands of interest, and quite acceptable values of gain and efficiency. Its overall performance makes it a suitable candidate for a receiving module of a rectenna in RF energy harvesting applications.

Original language	English
Title of host publication	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Publisher	IEEE
Pages	982-983
Number of pages	2
ISBN (Electronic)	9781665496582
DOIs	https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886108
Publication status	Published - 21 Sept 2022
Event	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Denver, United States Duration: 10 Jul 2022 → 15 Jul 2022

Conference

Conference	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Abbreviated title	AP-S/URSI 2022
Country/Territory	United States
City	Denver
Period	10/07/22 → 15/07/22

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/AP-S/USNC-URSI47032.2022.9886108

Cite this

Boursianis, A. D., Papadopoulou, M. S., Koulouridis, S., Georgiadis, A., Tentzeris, M. M., & Goudos, S. K. (2022). Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm. In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (pp. 982-983). IEEE. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886108

@inproceedings{329bad67c1af436c9d7b746043c94025,

title = "Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm",

abstract = "In this work, the design and optimization of an FSS device are presented for dual-band operation in the frequency bands of LTE-2600 and 5G-FR1 cellular communication net-works. The proposed FSS device is designed by utilizing a recently introduced swarm-based meta-heuristic, namely the artificial hummingbird algorithm. The obtained numerical results of the proposed FSS device exhibit resonances at the frequency bands of interest, and quite acceptable values of gain and efficiency. Its overall performance makes it a suitable candidate for a receiving module of a rectenna in RF energy harvesting applications.",

author = "Boursianis, {Achilles D.} and Papadopoulou, {Maria S.} and Stavros Koulouridis and Apostolos Georgiadis and Tentzeris, {Manos M.} and Goudos, {Sotirios K.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 ; Conference date: 10-07-2022 Through 15-07-2022",

year = "2022",

month = sep,

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doi = "10.1109/AP-S/USNC-URSI47032.2022.9886108",

language = "English",

pages = "982--983",

booktitle = "2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting",

publisher = "IEEE",

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Boursianis, AD, Papadopoulou, MS, Koulouridis, S, Georgiadis, A, Tentzeris, MM & Goudos, SK 2022, Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm. in 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. IEEE, pp. 982-983, 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, Colorado, United States, 10/07/22. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886108

Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm. / Boursianis, Achilles D.; Papadopoulou, Maria S.; Koulouridis, Stavros et al.
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. IEEE, 2022. p. 982-983.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm

AU - Boursianis, Achilles D.

AU - Papadopoulou, Maria S.

AU - Koulouridis, Stavros

AU - Georgiadis, Apostolos

AU - Tentzeris, Manos M.

AU - Goudos, Sotirios K.

PY - 2022/9/21

Y1 - 2022/9/21

N2 - In this work, the design and optimization of an FSS device are presented for dual-band operation in the frequency bands of LTE-2600 and 5G-FR1 cellular communication net-works. The proposed FSS device is designed by utilizing a recently introduced swarm-based meta-heuristic, namely the artificial hummingbird algorithm. The obtained numerical results of the proposed FSS device exhibit resonances at the frequency bands of interest, and quite acceptable values of gain and efficiency. Its overall performance makes it a suitable candidate for a receiving module of a rectenna in RF energy harvesting applications.

AB - In this work, the design and optimization of an FSS device are presented for dual-band operation in the frequency bands of LTE-2600 and 5G-FR1 cellular communication net-works. The proposed FSS device is designed by utilizing a recently introduced swarm-based meta-heuristic, namely the artificial hummingbird algorithm. The obtained numerical results of the proposed FSS device exhibit resonances at the frequency bands of interest, and quite acceptable values of gain and efficiency. Its overall performance makes it a suitable candidate for a receiving module of a rectenna in RF energy harvesting applications.

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DO - 10.1109/AP-S/USNC-URSI47032.2022.9886108

M3 - Conference contribution

AN - SCOPUS:85139773593

SP - 982

EP - 983

BT - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

PB - IEEE

T2 - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

Y2 - 10 July 2022 through 15 July 2022

ER -

Dual-Band Frequency Selective Surface Design Using Artificial Hummingbird Algorithm

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