A5008985725- Energy Harvesting in Wireless Networks
- Wireless Power Transfer Systems
- Innovative Energy Harvesting Technologies
- Advanced MIMO Systems Optimization
- Antenna Design and Analysis
- Full-Duplex Wireless Communications
Aristotle University of Thessaloniki
2020-2024
The exigency for continuous use of electrical devices has created greater demands electricity along with more efficient transmission techniques. Energy from natural resources can be solar, thermal, vibration, friction, or Radio Frequencies (RF) signals. This state-of-the-art work provides a summary RF energy harvesting techniques and used as guide the manufacture scavenging modules. Frequency Harvesting (EH) technique contributes to development autonomous sensors. A rectenna system includes...
Radio-frequency (RF) energy harvesting (EH) is emerging as a reliable and constantly available free source. The primary factor determining whether this can be utilized how efficiently it collected. In work, an RF EH system presented. More particularly, we designed dual-band to DC rectifier circuit at sub-6 GHz in the 5G bands, able supply low-power sensors microcontrollers used agriculture, military, or health services. operates 3.5 5 cellular network’s frequency band FR1. Numerical results...
The need for electronic devices usage has risen significantly over the years. This in turn generated greater demands electricity and addition green energy sources. These include Radio-Frequency (RF) harvesting. In this concept we design a rectifier circuit RF to DC conversion suitable operation at sub-6 GHz 5G bands. Such can be used supply low-power devices. proposed works frequency band FR1 of cellular network more specifically 3.5 GHz. most important problem harvesters is low system...
In this work, a novel quad-band rectifier circuit is introduced for RF energy harvesting and Internet of Things (IoT) applications. The proposed operates in the Wi-Fi frequency band can supply low-power sensors systems used IoT services. at 2.4, 3.5, 5, 5.8 GHz. RF-to-DC designed based on Delon theory Greinacher topology an RT/Duroid 5880 substrate. results show that our harvest from environment, providing maximum power conversion efficiency (PCE) greater than 81% when output load 0.511 kΩ...