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A Novel Design of Broadband Circularly Polarized Rectenna With Enhanced Gain for Energy Harvesting

Santosh Kumar Bairappaka, Anumoy Ghosh, Omprakash Kaiwartya, Mohammad Aljaidi, Yue Cao, Rupak Kharel

2024IEEE Access20 citationsDOIOpen Access PDF

Abstract

Device-to-device communication in the Internet of Things (IoT) enables seamless data exchange, aiding automation, monitoring, and control. Yet, sustainability challenges arise due to energy-limited devices. This paper presents a novel method for Indoor IoT sensors to function without batteries. A broadband rectenna on low-cost FR4 substrate is proposed, mitigating battery constraints. It integrates a circularly polarized (CP) antenna with an Artificial Magnetic Conductor (AMC) and a RF-to-DC rectifier. A coplanar waveguide fed CP (CPW-CP) antenna achieves a broad axial ratio bandwidth (ARBW) of 19.6% (AR < 3 dB) spanning from 2.3 GHz to 2.8 GHz, boosting gain from 0.5-0.8 dBic to 5-6.5 dBic within the ARBW, courtesy of the AMC integration. A stable RF-DC rectifier, using a modified wideband resistance compression network (WRCN), attains a power conversion efficiency (PCE) exceeding 30% for input powers ranging from -10 dBm to 12 dBm, peaking at 65% for 7 dBm input power for a 2 kΩ load. PCE variation within ARBW is only 5-8%. The RF-DC rectifier is integrated with the enhanced gain CPW-CP antenna to form a rectenna which is fabricated and measured. The experimental results comply with the simulated results, and the experimental validation demonstrates the rectenna’s effectiveness in charging a 0.1 pF capacitor within 2 ms in an indoor environment equipped with a Wi-Fi router. This innovative design marks a promising step towards addressing energy constraints in IoT devices, facilitating their long-term operation and deployment in diverse settings.

Topics & Concepts

RectennaEnergy harvestingElectrical engineeringRectifier (neural networks)Coplanar waveguideEnergy conversion efficiencyBroadbandComputer scienceOptoelectronicsMicrowaveMaterials scienceElectronic engineeringPhysicsTelecommunicationsEngineeringPower (physics)Artificial neural networkRecurrent neural networkStochastic neural networkQuantum mechanicsMachine learningEnergy Harvesting in Wireless NetworksAntenna Design and AnalysisFull-Duplex Wireless Communications
A Novel Design of Broadband Circularly Polarized Rectenna With Enhanced Gain for Energy Harvesting | Litcius