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	2.5	5.5	2011	19.8 Days	CHF 2400
Electronics electronics	2.6	6.1	2012	16.8 Days	CHF 2400
IoT IoT	2.8	8.7	2020	25.7 Days	CHF 1400
Journal of Sensor and Actuator Networks jsan	4.2	9.4	2012	21.6 Days	CHF 2000
Network network	3.1	6.5	2021	20.1 Days	CHF 1200
Sensors sensors	3.5	8.2	2001	19.7 Days	CHF 2600
Telecom telecom	2.4	5.4	2020	26.3 Days	CHF 1200
Technologies technologies	3.6	8.5	2013	21.8 Days	CHF 1600

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Published Papers (5 papers)

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20 pages, 5553 KB  

Open AccessArticle

Transmit Power Optimization for Intelligent Reflecting Surface-Assisted Coal Mine Wireless Communication Systems

by Yang Liu, Xiaoyue Li, Bin Wang and Yanhong Xu

IoT 2025, 6(4), 59; https://doi.org/10.3390/iot6040059 - 25 Sep 2025

Viewed by 521

Abstract

The adverse propagation environment in underground coal mine tunnels caused by enclosed spaces, rough surfaces, and dense scatterers severely degrades reliable wireless signal transmission, which further impedes the deployment of IoT applications such as gas monitors and personnel positioning terminals. However, the conventional [...] Read more.

The adverse propagation environment in underground coal mine tunnels caused by enclosed spaces, rough surfaces, and dense scatterers severely degrades reliable wireless signal transmission, which further impedes the deployment of IoT applications such as gas monitors and personnel positioning terminals. However, the conventional power enhancement solutions are infeasible for the underground coal mine scenario due to strict explosion-proof safety regulations and battery-powered IoT devices. To address this challenge, we propose singular value decomposition-based Lagrangian optimization (SVD-LOP) to minimize transmit power at the mining base station (MBS) for IRS-assisted coal mine wireless communication systems. In particular, we first establish a three-dimensional twin cluster geometry-based stochastic model (3D-TCGBSM) to accurately characterize the underground coal mine channel. On this basis, we formulate the MBS transmit power minimization problem constrained by user signal-to-noise ratio (SNR) target and IRS phase shifts. To solve this non-convex problem, we propose the SVD-LOP algorithm that performs SVD on the channel matrix to decouple the complex channel coupling and introduces the Lagrange multipliers. Furthermore, we develop a low-complexity successive convex approximation (LC-SCA) algorithm to reduce computational complexity, which constructs a convex approximation of the objective function based on a first-order Taylor expansion and enables suboptimal solutions. Simulation results demonstrate that the proposed SVD-LOP and LC-SCA algorithms achieve transmit power peaks of $20.8\mathrm{dBm}$ and $21.4\mathrm{dBm}$, respectively, which are slightly lower than the $21.8\mathrm{dBm}$ observed for the SDR algorithm. It is evident that these algorithms remain well below the explosion-proof safety threshold, which achieves significant power reduction. However, computational complexity analysis reveals that the proposed SVD-LOP and LC-SCA algorithms achieve $\mathcal{O}\left(N^3\right)$ and $\mathcal{O}\left(N^2\right)$ respectively, which offers substantial reductions compared to the SDR algorithm’s $\mathcal{O}\left(N^7\right)$. Moreover, both proposed algorithms exhibit robust convergence across varying user SNR targets while maintaining stable performance gains under different tunnel roughness scenarios. Full article

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

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16 pages, 15073 KB  

Open AccessArticle

A Bidirectional, Full-Duplex, Implantable Wireless CMOS System for Prosthetic Control

by Riccardo Collu, Cinzia Salis, Elena Ferrazzano and Massimo Barbaro

J. Sens. Actuator Netw. 2025, 14(5), 92; https://doi.org/10.3390/jsan14050092 - 10 Sep 2025

Viewed by 1186

Abstract

Implantable medical devices present several technological challenges, one of the most critical being how to provide power supply and communication capabilities to a device hermetically sealed within the body. Using a battery as a power source represents a potential harm for the individual’s [...] Read more.

Implantable medical devices present several technological challenges, one of the most critical being how to provide power supply and communication capabilities to a device hermetically sealed within the body. Using a battery as a power source represents a potential harm for the individual’s health because of possible toxic chemical release or overheating, and it requires periodic surgery for replacement. This paper proposes a batteryless implantable device powered by an inductive link and equipped with bidirectional wireless communication channels. The device, designed in a 180 nm CMOS process, is based on two different pairs of mutually coupled inductors that provide, respectively, power and a low-bitrate bidirectional communication link and a separate, high-bitrate, one-directional upstream connection. The main link is based on a 13.56 MHz carrier and allows power transmission and a half-duplex two-way communication at 106 kbps (downlink) and 30 kbps (uplink). The secondary link is based on a 27 MHz carrier, which provides one-way communication at 2.25 Mbps only in uplink. The low-bitrate links are needed to send commands and monitor the implanted system, while the high-bitrate link is required to receive a continuous stream of information from the implanted sensing devices. The microchip acts as a hub for power and data wireless transmission capable of managing up to four different neural recording and stimulation front ends, making the device employable in a complex, distributed, bidirectional neural prosthetic system. Full article

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

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10 pages, 470 KB  

Open AccessArticle

Transmit Power Optimization in Multihop Amplify-and-Forward Relay Systems with Simultaneous Wireless Information and Power Transfer

by Kunju Kim, Derek Kwaku Pobi Asiedu, Prince Anokye, Eunkyung Kim and Kyoung-Jae Lee

Electronics 2024, 13(21), 4232; https://doi.org/10.3390/electronics13214232 - 29 Oct 2024

Cited by 4 | Viewed by 1527

Abstract

In this paper, we study a multi-hop amplify-and-forward (AF) simultaneous wireless information and power transmission (SWIPT) relay system. Each relay node harvests power using a power split (PS) method from a portion of the received signal, amplifies the remaining received signal, and passes [...] Read more.

In this paper, we study a multi-hop amplify-and-forward (AF) simultaneous wireless information and power transmission (SWIPT) relay system. Each relay node harvests power using a power split (PS) method from a portion of the received signal, amplifies the remaining received signal, and passes it to the next relay. Based on this system model and signal flow, we derived and solved the convex power minimization problem with the optimal PS ratio. In this case, it was found that using the optimal PS ratio consumed a lower amount of power than when using a fixed PS ratio (0.5). We then investigated the impact of processing cost on the AF-SWIPT system using decoding and forwarding SWIPT as benchmarks, and found that AF-SWIPT was superior. Full article

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

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20 pages, 4003 KB  

Open AccessArticle

A Hybrid Anti-Collision Protocol Based on Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA) for Radio Frequency Identification (RFID) Readers

by Mourad Ouadou, Rachid Mafamane and Khalid Minaoui

Network 2024, 4(2), 217-236; https://doi.org/10.3390/network4020011 - 13 Jun 2024

Cited by 4 | Viewed by 2057

Abstract

Radio Frequency Identification (RFID) technology plays a crucial role in various Internet of Things (IoT) applications, necessitating the integration of RFID systems into dense networks. However, the presence of numerous readers leads to collisions, degrading communication between readers and tags and compromising system [...] Read more.

Radio Frequency Identification (RFID) technology plays a crucial role in various Internet of Things (IoT) applications, necessitating the integration of RFID systems into dense networks. However, the presence of numerous readers leads to collisions, degrading communication between readers and tags and compromising system performance. To tackle this challenge, researchers have proposed Medium Access Control (MAC) layer protocols employing different channel access methods. In this paper, we present a novel solution, the Distributed Time Slot Anti-Collision protocol (DTS-AC), which employs a new TDMA notification system to address Reader-to-Reader Interference (RRI), while incorporating FDMA-based frequency resource management to resolve Reader-to-Tag Interference (RTI) collision issues. Simulation results demonstrate that DTS-AC significantly improves performance in dense RFID networks by enhancing read rates, with scalability benefits based on the number of readers, channels, and Time Slots (TSs). Moreover, the cost-effectiveness of DTS-AC facilitates efficient deployment in RFID networks, emphasizing considerations of time delay and data sensitivity. Full article

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

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22 pages, 4655 KB  

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

Cited by 1 | Viewed by 2526

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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