Topic Editors

School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK
Dr. Arooj Mubashara Siddiqui
School of Engineering and Technology, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK
Dr. Xiaojing Chen
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China
Dr. Oluyomi Simpson
School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK

Wireless Energy Harvesting and Power Transfer for Communications and Networks

Abstract submission deadline
30 September 2024
Manuscript submission deadline
31 December 2024
Viewed by
2077

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

  • wireless energy harvesting
  • wireless power transfer
  • SWIPT
  • wireless communications
  • wireless networks
  • wireless systems
  • 6G
  • IoT
  • sensor networks

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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22 pages, 4655 KiB  
Article
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 953
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 2.70×105, 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
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