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Genetic research

AI-Optimized Rectenna Design for Energy Harvesting in 5G Networks

Strategic Insights

— 2 min read

Researchers from the University of Diyala have developed a novel AI-optimized rectenna design for energy harvesting in 5G networks. According to the study, the design maximizes the geometry of a microstrip patch antenna running at 2.4GHz and 5.8GHz using a Binary Genetic Algorithm (BGA) based on Artificial Intelligence (AI). The optimized antenna combines a commercial RF rectifier with nine-stage voltage doubler branches, resulting in high efficiency and dependability.

Key Takeaways:

  • The AI-optimized rectenna design uses a Binary Genetic Algorithm (BGA) to optimize the geometry of a microstrip patch antenna for multi-band operation.
  • The design maximizes the geometry of a microstrip patch antenna running at 2.4GHz and 5.8GHz using a BGA based on Artificial Intelligence (AI).
  • The optimized antenna combines a commercial RF rectifier with nine-stage voltage doubler branches.
  • The design uses Schottky diodes from the Skyworks SMS7630 and Avago HSMS 285B families.
  • The BGA produced antenna designs with widths of 810 MHz (5.14-5.95 GHz) and 200 MHz (2.38-2.58 GHz).
  • The design achieved return losses of -41 dB at 2.4 GHz and -38 dB at 5.8 GHz, along with matching gains of 6.2 dBi and 7.12 dBi.
  • The rectifier showed maximum conversion efficiencies of 70% at 2.4 GHz and 42% at 5.8 GHz.
  • The design generated DC output voltages of 92.6 mV and 64 mV with an input power level of 6 dBm.
  • The AI-optimized rectenna design shows great efficiency and dependability for ambient RF energy collecting in 5G and IoT devices.

Statistics:

  • 2.4GHz and 5.8GHz frequency bands used for optimization
  • 810 MHz and 200 MHz bandwidths achieved
  • Return losses of -41 dB at 2.4 GHz and -38 dB at 5.8 GHz
  • Matching gains of 6.2 dBi and 7.12 dBi
  • Maximum conversion efficiencies of 70% at 2.4 GHz and 42% at 5.8 GHz
  • DC output voltages of 92.6 mV and 64 mV with an input power level of 6 dBm
  • 9-stage voltage doubler branches used in the design

Sources:

  • A Further Realization of Binary Genetic Algorithm to Design a Dual Frequency Band Rectenna for Energy Harvesting in 5G Networks. Diyala Journal of Engineering Sciences, 2025,18(2).
  • University of Diyala
  • https://doi-org.sdpl.idm.oclc.org/10.24237/djes.2024.18213
  • Yahiea Al Naiemy, Computer Science Department, College of Science, University of Diyala, Iraq
  • Aqeel N. Abdulateef, Ahmed Rifaat Hamad, Mohammed Saadi Ismael, Balachandran Ruthramurthy, Taha A. Elwi, Lajos Nagy, Thomas Zwick
  • Life Science Weekly, July 1, 2025; p 4499.

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