Yasmeen Taha Yaseeen, Mohd Fadzli Mohd Salleh, and Taha A. Elwi
Design of Enhanced Dual Band Rectenna with Binary Coding Technique of Genetic Algorithm
In this paper, an artificial intelligence-based rectenna design is proposed for Wi-Fi applications. The rectenna design is optimized using a Genetic Algorithm (GA) integrated with a Binary Coding (BC) scheme. The proposed rectenna is configured to operate at 2.45 GHz and 5.8 GHz with a maximum size of 27×30×10 mm³. The performance of the optimized rectenna has been characterized in terms of S-parameters, bandwidth, radiation patterns, and gain. For this, a dual-bandwidth patch is designed to suit the applications of 2.45 GHz and 5.8 GHz. The measured radiation patterns and S11 spectra are evaluated to obtain a peak radiation efficiency of 52% and 56% to realize a gain of 6.2 dB at 2.45 GHz and 7.12 dB at 5.8 GHz, respectively. The proposed rectenna is integrated with an RF–DC rectifier (RFD102A module) to evaluate the harvested power in terms of DC output voltage under outdoor conditions. The maximum obtained harvested DC output voltage is found to be 2.27V and 2.3V at 2.45GHz and 5.8GHz, respectively. Finally, the obtained measurements are compared to the simulated results to realize good agreements between them.
Reference:
DOI: 10.36244/ICJ.2025.4.3
Please cite this paper the following way:
Yasmeen Taha Yaseeen, Mohd Fadzli Mohd Salleh, and Taha A. Elwi "Design of Enhanced Dual Band Rectenna with Binary Coding Technique of Genetic Algorithm", Infocommunications Journal, Vol. XVII, No 4, December 2025, pp. 20-25., https://doi.org/10.36244/ICJ.2025.4.3