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1

Diamantoulakis, Panagiotis D., George K. Karagiannidis, and Zhiguo Ding. "Simultaneous Lightwave Information and Power Transfer (SLIPT)." IEEE Transactions on Green Communications and Networking 2, no. 3 (September 2018): 764–73. http://dx.doi.org/10.1109/tgcn.2018.2818325.

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2

Filho, José Ilton De Oliveira, Omar Alkhazragi, Abderrahmen Trichili, Boon S. Ooi, Mohamed-Slim Alouini, and Khaled Nabil Salama. "Simultaneous Lightwave and Power Transfer for Internet of Things Devices." Energies 15, no. 8 (April 12, 2022): 2814. http://dx.doi.org/10.3390/en15082814.

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Анотація:
A laudable goal toward achieving autonomous internet of things (IoT) devices would be to use the same circuitry for communication and harvesting energy. One way to achieve it is through simultaneous lightwave and power transfer (SLIPT) that consists of using solar cells to harvest energy and receive information signals. Here, a SLIPT-based system that uses a large area solar panel to harvest energy from light sources and decode data signals is designed. The designed system is equipped with an infrared sensor used to detect the movements of an unmanned aerial vehicle. We equally discuss the wide-scale deployment of IoT devices with SLIPT capability.
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3

De Marcellis, Andrea, Guido Di Patrizio Stanchieri, Marco Faccio, Elia Palange, and Timothy G. Constandinou. "A 6 Mbps 7 pJ/bit CMOS Integrated Wireless Simultaneous Lightwave Information and Power Transfer System for Biomedical Implants." Electronics 13, no. 9 (May 4, 2024): 1774. http://dx.doi.org/10.3390/electronics13091774.

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This paper presents a Simultaneous Lightwave Information and Power Transfer (SLIPT) system for implantable biomedical applications composed of an external and internal (i.e., implantable) unit designed at a transistor level in TMSC 0.18 µm standard CMOS Si technology, requiring Si areas of 200 × 260 µm2 and 615 × 950 µm2, respectively. The SLIPT external unit employs a semiconductor laser to transmit data and power to the SLIPT internal unit, which contains an Optical Wireless Power Transfer (OWPT) module to supply its circuitry and, in particular, the data receiver module. To enable these operations, the transmitter module of the SLIPT external unit uses a novel reverse multilevel synchronized pulse position modulation technique based on dropping the laser driving current to zero so it produces laser pulses with a reversed intensity profile. This modulation technique allows: (i) the SLIPT external unit to code and transmit data packages of 6-bit symbols received and decoded by the SLIPT internal unit; and (ii) to supply the OWPT module also in the period between the transmission of two consecutive data packages. The receiver module operates for a time window of 12.5 µs every 500 µs, this being the time needed for the OWPT module to fully recover the energy to power the SLIPT internal unit. Post-layout simulations demonstrate that the proposed SLIPT system provides a final data throughput of 6 Mbps, an energy efficiency of 7 pJ/bit, and an OWPT module power transfer efficiency of 40%.
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4

Shin, Huicheol, Sangki Jeong, Seungjae Baek, and Yujae Song. "Adaptive Control for Underwater Simultaneous Lightwave Information and Power Transfer: A Hierarchical Deep-Reinforcement Approach." Journal of Marine Science and Engineering 12, no. 9 (September 14, 2024): 1647. http://dx.doi.org/10.3390/jmse12091647.

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Анотація:
In this work, we consider a point-to-point underwater optical wireless communication scenario where an underwater sensor (US) transmits its sensing data to a remotely operated vehicle (ROV). Before the US transmits its data to the ROV, the ROV performs simultaneous lightwave information and power transfer (SLIPT), delivering both control data and lightwave power to the US. Under the considered scenario, our objective is to maximize energy harvesting at the US while supporting predetermined communication performance between the two nodes. To achieve this objective, we develop a hierarchical deep Q-network (DQN)–deep deterministic policy gradient (DDPG)-based online algorithm. This algorithm involves two reinforcement learning agents: the ROV and US. The role of the ROV agent is to determine an optimal beam-divergence angle that maximizes the received optical signal power at the US while ensuring a seamless optical link. Meanwhile, the US agent, which is influenced by the decision of the ROV agent, is responsible for determining the time-switching and power-splitting ratios to maximize energy harvesting without compromising the required communication performance. Unlike existing studies that do not account for adaptive parameter control in underwater SLIPT, the proposed algorithm’s adaptive nature allows for the dynamic fine-tuning of optimization parameters in response to varying underwater environmental conditions and diverse user requirements.
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5

Chen, Danyang, Qingxuan Wang, Jianping Wang, Zhao Li, Shuai Wu, Rui Hao, Kai Fan, Huimin Lu, and Jianli Jin. "Energy Efficiency Optimization for SLIPT-Enabled NOMA System." Photonics 10, no. 7 (July 9, 2023): 791. http://dx.doi.org/10.3390/photonics10070791.

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Анотація:
For the upcoming sixth generation (6G) networks, the application of simultaneous lightwave information and power transfer (SLIPT) in a non-orthogonal multiple access (NOMA) system is a potential solution to improve energy efficiency (EE). In this paper, we propose a novel SLIPT-enabled NOMA multi-user system with power splitting (PS) protocol and investigate the effect of system parameters on EE. In addition, to enhance the energy harvesting and information receiving performance of the proposed system, we build up an optimization framework that aims to maximize the EE of the system by jointly optimizing the power allocation of the users and the PS coefficient. We introduce a two-step particle swarm optimization (PSO) algorithm to solve this problem while satisfying the constraints of maximum transmit power, the minimum achievable data rate, and the minimum harvested energy. The numerical results demonstrate the SLIPT-enabled NOMA system using PSO algorithm has significantly improved up to 3.83 ×106 bit/s/J in terms of EE over the traditional orthogonal multiple access (OMA) systems.
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6

Ibrahim, Abdulgani A., Serdar Özgür Ata, and Lütfiye Durak-Ata. "On the Performance of Energy Harvesting Dual-Hop Free-Space Optical Communication Systems with Secrecy Analysis." Sensors 25, no. 2 (January 8, 2025): 319. https://doi.org/10.3390/s25020319.

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Анотація:
In this study, we present a dual-hop decode-and-forward relaying-based free-space optical (FSO) communication system. We consider utilizing simultaneous lightwave information and power transfer (SLIPT) with a time-splitting technique at the relay, where the direct current component of the received optical signal is harvested as a transmit power for the relay. It is assumed that the FSO links experience a Malaga turbulence channel with pointing errors. In order to evaluate the performance of the proposed communication system, closed-form expressions for outage probability, ergodic capacity, average bit error rate, and throughput are derived. Additionally, to analyze the physical layer security of the proposed system, closed-form expressions for secrecy outage probability and strictly positive secrecy capacity are obtained. Finally, the accuracy of the derived analytical expressions are validated with Monte Carlo simulations. Results show that our proposed system model outperforms its non-SLIPT counterpart.
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7

Ding, Jupeng, Chih-Lin I, Jintao Wang, and Jian Song. "Performance Evaluation of Non-Lambertian SLIPT for 6G Visible Light Communication Systems." Photonics 11, no. 9 (September 10, 2024): 856. http://dx.doi.org/10.3390/photonics11090856.

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Анотація:
Visible light communication (VLC) has emerged as one promising candidate technique to improve the throughput performance in future sixth-generation (6G) mobile communication networks. Due to the limited battery capacity of VLC systems, light energy harvesting has been proposed and incorporated for achieving the simultaneous lightwave information and power transfer (SLIPT) function and for improving the overall energy efficiency. Nevertheless, almost all reported works are limited to SLIPT scenarios adopting a basic and well-discussed Lambertian optical transmitter, which definitely cannot characterize the potential and essential scenarios employing distinctive non-Lambertian optical transmitters with various spatial beam characteristics. For addressing this issue, in this work, SLIPT based on a distinct non-Lambertian optical beam configuration is investigated, and for further enhancing the harvested energy and the achievable data rate, the relevant flexible optical beam configuration method is presented as well. The numerical results show that, for a typical receiver position, compared with about 1.14 mJ harvested energy and a 31.2 Mbps achievable data rate of the baseline Lambertian configuration, a harvested energy gain of up to 1.55 mJ and an achievable data rate gain of 21.1 Mbps can be achieved by the non-Lambertian SLIPT scheme explored here.
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8

Ma, Shuai, Fan Zhang, Hang Li, Fuhui Zhou, Yuhao Wang, and Shiyin Li. "Simultaneous Lightwave Information and Power Transfer in Visible Light Communication Systems." IEEE Transactions on Wireless Communications 18, no. 12 (December 2019): 5818–30. http://dx.doi.org/10.1109/twc.2019.2939242.

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9

Pan, Gaofeng, Panagiotis D. Diamantoulakis, Zheng Ma, Zhiguo Ding, and George K. Karagiannidis. "Simultaneous Lightwave Information and Power Transfer: Policies, Techniques, and Future Directions." IEEE Access 7 (2019): 28250–57. http://dx.doi.org/10.1109/access.2019.2901855.

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10

Ye, Kuan, Cong Zou, and Fang Yang. "Dual-Hop Underwater Optical Wireless Communication System With Simultaneous Lightwave Information and Power Transfer." IEEE Photonics Journal 13, no. 6 (December 2021): 1–7. http://dx.doi.org/10.1109/jphot.2021.3118047.

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11

Liu, Xinling, Huimin Lu, Yifan Zhu, Jianhua Ma, Rui Hao, Danyang Chen, and Jianping Wang. "Simultaneous lightwave information and power transfer for NLOS ultraviolet communications under different weather conditions." Optics Communications 574 (January 2025): 131215. http://dx.doi.org/10.1016/j.optcom.2024.131215.

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12

Alamu, Olumide, Thomas O. Olwal, and Karim Djouani. "Simultaneous lightwave information and power transfer in optical wireless communication networks: An overview and outlook." Optik 266 (September 2022): 169590. http://dx.doi.org/10.1016/j.ijleo.2022.169590.

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13

Mohsan, Syed Agha Hassnain, Nawaf Qasem Hamood Othman, Muhammad Asghar Khan, Hussain Amjad, and Justyna Żywiołek. "A Comprehensive Review of Micro UAV Charging Techniques." Micromachines 13, no. 6 (June 20, 2022): 977. http://dx.doi.org/10.3390/mi13060977.

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Анотація:
The groundbreaking Unmanned Aerial Vehicles (UAVs) technology has gained significant attention from both academia and industrial experts due to several applications, such as military missions, power lines inspection, precision agriculture, remote sensing, delivery services, traffic monitoring and many more. UAVs are expected to become a mainstream delivery element by 2040 to address the ever-increasing demand for delivery services. Similarly, UAV-assisted monitoring approaches will automate the inspection process, lowering mission costs, increasing access to remote locations and saving time and energy. Despite the fact that unmanned aerial vehicles (UAVs) are gaining popularity in both military and civilian applications, they have a number of limitations and critical problems that must be addressed in order for missions to be effective. One of the most difficult and time-consuming tasks is charging UAVs. UAVs’ mission length and travel distance are constrained by their low battery endurance. There is a need to study multi-UAV charging systems to overcome battery capacity limitations, allowing UAVs to be used for a variety of services while saving time and human resources. Wired and Wireless Power Transfer (WPT) systems have emerged as viable options to successfully solve this difficulty. In the past, several research surveys have focused on crucial aspects of wireless UAV charging. In this review, we have also examined the most emerging charging techniques for UAVs such as laser power transfer (LPT), distributed laser charging (DLC), simultaneous wireless information and power transfer (SWIPT) and simultaneous light wave information and power transfer (SLIPT). The classification and types of UAVs, as well as various battery charging methods, are all discussed in this paper. We’ve also addressed a number of difficulties and solutions for safe operation. In the final section, we have briefly discussed future research directions.
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14

Kim, Yeonghae, Sudhanshu Arya, and Yeon Ho Chung. "An optimal energy harvesting scheme for simultaneous lightwave information and power transfer over multi-layer turbulence-induced underwater channel." Optics Communications 501 (December 2021): 127382. http://dx.doi.org/10.1016/j.optcom.2021.127382.

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15

Agarwal, Amit, and Keshav Singh. "Energy‐efficient UOWC‐RF systems with SLIPT." Transactions on Emerging Telecommunications Technologies, November 2, 2023. http://dx.doi.org/10.1002/ett.4889.

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AbstractThis letter investigates a two‐hop underwater optical wireless communication‐radio frequency setup consisting of an autonomous underwater vehicle (AUV), a communication buoy, and an onshore data center (ODC). The information transmission between AUV and ODC occurs in two phases. In the first phase, the AUV communicates to the buoy over the optical wireless link. The buoy harvests the energy by using simultaneous lightwave information and power transfer and also decodes the information. In the subsequent phase, the buoy transmits the decoded information to the ODC over an RF link by utilizing the harvested energy at the first phase. A joint optimization problem is proposed to minimize the total optical energy consumption at the AUV by optimally selecting the DC‐bias and the time allocated to the first and second phases subject to the minimum required end‐to‐end rate. Due to the non‐convexity of the original problem, an alternative approach is used to make it convex. For certain system parameters, our results show a significant energy savings of J at the required rate of 2 bits per channel use.
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16

De Oliveira Filho, Jose Ilton, Abderrahmen Trichili, Omar Alkhazragi, Mohamed-Slim Alouini, Boon S. Ooi, and Khaled Nabil Salama. "Reconfigurable MIMO-based self-powered battery-less light communication system." Light: Science & Applications 13, no. 1 (August 28, 2024). http://dx.doi.org/10.1038/s41377-024-01566-3.

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AbstractSimultaneous lightwave information and power transfer (SLIPT), co-existing with optical wireless communication, holds an enormous potential to provide continuous charging to remote Internet of Things (IoT) devices while ensuring connectivity. Combining SLIPT with an omnidirectional receiver, we can leverage a higher power budget while maintaining a stable connection, a major challenge for optical wireless communication systems. Here, we design a multiplexed SLIPT-based system comprising an array of photodetectors (PDs) arranged in a 3 × 3 configuration. The system enables decoding information from multiple light beams while simultaneously harvesting energy. The PDs can swiftly switch between photoconductive and photovoltaic modes to maximize information transfer rates and provide on-demand energy harvesting. Additionally, we investigated the ability to decode information and harvest energy with a particular quadrant set of PDs from the array, allowing beam tracking and spatial diversity. The design was explored in a smaller version for higher data rates and a bigger one for higher power harvesting. We report a self-powering device that can achieve a gross data rate of 25.7 Mbps from a single-input single-output (SISO) and an 85.2 Mbps net data rate in a multiple-input multiple-output (MIMO) configuration. Under a standard AMT1.5 illumination, the device can harvest up to 87.33 mW, around twice the power needed to maintain the entire system. Our work paves the way for deploying autonomous IoT devices in harsh environments and their potential use in space applications.
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17

Liu, Mingqing, Mingliang Xiong, Qingwen Liu, Shengli Zhou, and Hao Deng. "Mobility-Enhanced Simultaneous Lightwave Information and Power Transfer." IEEE Transactions on Wireless Communications, 2021, 1. http://dx.doi.org/10.1109/twc.2021.3078808.

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18

Papanikolaou, Vasilis K., Sotiris A. Tegos, Kapila W. S. Palitharathna, Panagiotis D. Diamantoulakis, Himal A. Suraweera, Mohammad-Ali Khalighi, and George K. Karagiannidis. "Simultaneous Lightwave Information and Power Transfer in 6G Networks." IEEE Communications Magazine, 2023, 1–7. http://dx.doi.org/10.1109/mcom.002.2300290.

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19

Sepehrvand, Sahand, Lakshmi N. Theagarajan, and Steve Hranilovic. "Rate-Power Trade-Off in Simultaneous Lightwave Information and Power Transfer Systems." IEEE Communications Letters, 2020, 1. http://dx.doi.org/10.1109/lcomm.2020.3047379.

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20

Zhang, Qi, Zehao Liu, Fang Yang, Jian Song, and Zhu Han. "Simultaneous Lightwave Information and Power Transfer for OIRS-Aided VLC System." IEEE Wireless Communications Letters, 2023, 1. http://dx.doi.org/10.1109/lwc.2023.3310584.

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21

Ye, Kuan, Tengjiao Wang, and Fang Yang. "Rate optimization for relaying VLC system with simultaneous lightwave information and power transfer." Optics Express, December 28, 2020. http://dx.doi.org/10.1364/oe.417634.

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22

Wu, Zi-Yang, Zhi-Shi Chen, and Peng-Cheng Song. "Optimizing Simultaneous Lightwave Information and Power Transfer Under Practical Indoor Mobility With Reinforcement Learning." IEEE Photonics Journal, 2023, 1–7. http://dx.doi.org/10.1109/jphot.2023.3307418.

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23

Li, Gan, Tao Shang, Wanqiu Kong, Qian Li, and Tang Tang. "Energy efficiency optimization in parallel relay-assisted UWOC system with simultaneous lightwave information and power transfer." Applied Optics, January 4, 2024. http://dx.doi.org/10.1364/ao.514508.

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