Rectenna Design Optimized by Binary Genetic Algorithm for Hybrid Energy Harvesting Applications Across 5G Sub‐6 GHz Band

Abstract This paper presents a novel rectenna design for hybrid energy harvesting, optimized using a binary genetic algorithm (BGA) with binary coding to improve geometry, impedance matching, and radiation efficiency. The fabricated rectenna achieves reflection coefficients below −40 dB at 2.45 and 5.8 GHz, demonstrating excellent impedance matching. A commercial rectifier (Powercast P21XXCSR‐EVB), employing a voltage doubler topology and Schottky diodes (Skyworks SMS7630 and Avago HSMS 285B), is integrated for RF‐to‐DC conversion. Peak efficiencies of 90% at 2.45 GHz and 52% at 5.8 GHz are recorded at 11 dBm input power, while efficiencies above 80% and 50%, respectively, are maintained at 0 dBm. The rectifier also exhibits wide impedance bandwidths, with reflection coefficients of −23 dB and −18 dB at the respective frequencies. Outdoor testing yields DC output voltages of 92.6 mV (2.45 GHz) and 64 mV (5.8 GHz). The system's efficiency and adaptability under variable conditions make it ideal for low‐power applications such as wireless sensor networks, Internet of Things devices, and remote monitoring. Its robust performance across environments highlights its potential for autonomous energy harvesting in 5G and sub‐6 GHz networks.

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Publication Details

Journal
Radio Science
Published
2025-05-30
DOI
https://doi.org/10.1029/2024rs008154
Citations
10
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
7.30
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article

Rectenna Design Optimized by Binary Genetic Algorithm for Hybrid Energy Harvesting Applications Across 5G Sub‐6 GHz Band

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10 citations
Radio Science
Energy Harvesting in Wireless Networks
7.30
article

Rectenna Design Optimized by Binary Genetic Algorithm for Hybrid Energy Harvesting Applications Across 5G Sub‐6 GHz Band

Ammar Al‐Adhami, Nasr Rashid, Renu Karthick Rajaguru Jayanthi, Taha A. Elwi, Mohammad Alibakhshikenari, Yi Tang, Nouf Abd Elmunim, Innocent Lubangakene, Dion Mariyanayagam, Bal S. Virdee, Lida Kouhalvandi, M. Ahmed, Ahmed Rifaat Hamad, Sunil Kumar, Salahuddin Khan, Hasan Salman Hamad
article en
10 citations

Abstract

Abstract This paper presents a novel rectenna design for hybrid energy harvesting, optimized using a binary genetic algorithm (BGA) with binary coding to improve geometry, impedance matching, and radiation efficiency. The fabricated rectenna achieves reflection coefficients below −40 dB at 2.45 and 5.8 GHz, demonstrating excellent impedance matching. A commercial rectifier (Powercast P21XXCSR‐EVB), employing a voltage doubler topology and Schottky diodes (Skyworks SMS7630 and Avago HSMS 285B), is integrated for RF‐to‐DC conversion. Peak efficiencies of 90% at 2.45 GHz and 52% at 5.8 GHz are recorded at 11 dBm input power, while efficiencies above 80% and 50%, respectively, are maintained at 0 dBm. The rectifier also exhibits wide impedance bandwidths, with reflection coefficients of −23 dB and −18 dB at the respective frequencies. Outdoor testing yields DC output voltages of 92.6 mV (2.45 GHz) and 64 mV (5.8 GHz). The system's efficiency and adaptability under variable conditions make it ideal for low‐power applications such as wireless sensor networks, Internet of Things devices, and remote monitoring. Its robust performance across environments highlights its potential for autonomous energy harvesting in 5G and sub‐6 GHz networks.

Radio ScienceVol. 60(6)
Princess Nourah bint Abdulrahman University (SA), University of Rome Tor Vergata (IT), London Metropolitan University (GB), Doğuş University (TR), Yantai University (CN), Al-Azhar University (EG), Jouf University (SA), King Saud University (SA), Alsalam University College (IQ), Middle Technical University (IQ), Iraqi Association for Psychotherapy (IQ), Nahrain University (IQ)
Openalex Percentile: Top 3%
Energy Harvesting in Wireless Networks
7.30
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