Wireless Energy Harvesting and Power Transfer for Communications and Networks

Topic Information

Dear Colleagues,

Advancements in wireless communication systems have motivated both academics and industries to work toward sustainable and long-lasting networks with low energy cost. Energy harvesting is a potential solution to overcome the issues of high data traffic demand, high energy consumption, complex infrastructures, and device battery limitations. Energy harvesting along with wireless information and power transfer are futuristic options to tailor diversified networks and devices in 6G communication systems.

This Topic primarily focuses on wireless energy harvesting solutions for incorporating complex scenarios and varied ranges of communication networks. This can include energy harvesting in 5G/6G communication systems with a focus on machine-type networks, machine-learning-based techniques, signal processing, and distributed complex systems. Original research in pertinent fields, which has not yet been published or is not presently being considered by another publication, is encouraged such as but not limited to the following.

• Energy harvesting wireless communications and networks.
• Wirelessly powered communications and networks.
• Centralized and distributed power transfer in wireless communications.
• Simultaneous wireless information and power transfer (SWIPT).
• RF, millimeter wave, and THz energy harvesting, power transfer, and SWIPT.
• Massive MIMO- and RIS-aided energy harvesting, power transfer, and SWIPT.
• Waveform design for energy harvesting, power transfer, and SWIPT.
• Signal processing for energy harvesting, power transfer, and SWIPT.
• Machine learning for energy harvesting, power transfer, and SWIPT.
• Circuits and systems for energy harvesting, power transfer, and SWIPT.
• Wireless energy harvesting and power transfer for Internet of Things.
• Wireless energy harvesting and power transfer for sensor networks.
• Wireless energy harvesting and power transfer for machine-type networks.  

Prof. Dr. Yichuang Sun
Dr. Arooj Mubashara Siddiqui
Dr. Xiaojing Chen
Dr. Oluyomi Simpson
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.7	4.5	2011	16.9 Days	CHF 2400	Submit
Electronics electronics	2.9	4.7	2012	15.6 Days	CHF 2400	Submit
IoT IoT	-	5.2	2020	23.3 Days	CHF 1200	Submit
Journal of Sensor and Actuator Networks jsan	3.5	7.6	2012	20.4 Days	CHF 2000	Submit
Network network	-	-	2021	18.2 Days	CHF 1000	Submit
Sensors sensors	3.9	6.8	2001	17 Days	CHF 2600	Submit
Telecom telecom	-	3.1	2020	26.1 Days	CHF 1200	Submit
Technologies technologies	3.6	5.5	2013	19.7 Days	CHF 1600	Submit

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Published Papers (1 paper)

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All Applied Sciences Electronics IoT JSAN Network Sensors Telecom Technologies

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22 pages, 4655 KiB  

Open AccessArticle

Optimal Frequency and Wireless Power Budget for Miniature Receivers in Obese People

by Tom Van de Steene, Emmeric Tanghe, Luc Martens, Carmine Garripoli, Stefano Stanzione and Wout Joseph

Sensors 2023, 23(19), 8084; https://doi.org/10.3390/s23198084 - 26 Sep 2023

Viewed by 961

Abstract

This study investigates wireless power transfer for deep in-body receivers, determining the optimal frequency, power budget, and design for the transmitter and receiver. In particular, the focus is on small, in-body receivers at large depths up to 20 cm for obese patients. This [...] Read more.

This study investigates wireless power transfer for deep in-body receivers, determining the optimal frequency, power budget, and design for the transmitter and receiver. In particular, the focus is on small, in-body receivers at large depths up to 20 cm for obese patients. This enables long-term monitoring of the gastrointestinal tract for all body types. Numerical simulations are used to investigate power transfer and losses as a function of frequency and to find the optimal design at the selected frequency for an obese body model. From all ISM-frequencies in the investigated range (1 kHz–10 GHz), the value of 13.56 MHz yields the best performance. This optimum corresponds to the transition from dominant copper losses in conductors to dominant losses in conductive tissue. At this frequency, a transmitting and receiving coil are designed consisting of 12 and 23 windings, respectively. With a power transfer efficiency of $2.70\times {10}^{-5}$, 18 µW can be received for an input power of 0.68 W while still satisfying exposure guidelines. The power transfer is validated by measurements. For the first time, efficiency values and the power budget are reported for WPT through 20 cm of tissue to mm sized receivers. Compared to WPT at higher frequencies, as commonly used for small receivers, the proposed system is more suitable for WPT to large depths in-body and comes with the advantage that no focusing is required, which can accommodate multiple receivers and uncertainty about receiver location more easily. The received power allows long-term sensing in the gastrointestinal tract by, e.g., temperature, pressure, and pH sensors, motility sensing, or even gastric stimulation. Full article

(This article belongs to the Topic Wireless Energy Harvesting and Power Transfer for Communications and Networks)

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