Relevant bibliographies by topics / Simultaneous Lightwave Information and Power Transfer (SLIPT)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Simultaneous Lightwave Information and Power Transfer (SLIPT)'

Author: Grafiati
Published: 24 May 2025
Last updated: 29 May 2025

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Journal articles on the topic "Simultaneous Lightwave Information and Power Transfer (SLIPT)"

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Simultaneous Lightwave Information and Power Transfer (SLIPT)"

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Ribeiro, Dos Santos Daniel. "Printable photovoltaic photoreceptors for the factory of the future and the Internet of Things : Toward energy harvesting and wireless optical communications." Electronic Thesis or Diss., Limoges, 2025. http://www.theses.fr/2025LIMO0018.

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La Communication par Lumière Visible (VLC) et les cellules Photovoltaïques Organiques (OPVs) offrent des solutions prometteuses face aux besoins croissants en énergie et en communication pour l’Internet des Objets (IoT). La VLC exploite le spectre de la lumière visible pour une transmission de données sécurisée et efficace, tandis que les OPVs permettent la récupération d’énergie flexible, peu coûteuse et durable, particulièrement sous éclairage intérieur. Ensemble, ces technologies forment la base du Transfert Simultané d’Information et d’Énergie par Onde Lumineuse (SLIPT), permettant aux dispositifs de récupérer de l’énergie et de communiquer via la lumière. Cependant, l’intégration des OPVs dans les systèmes SLIPT présente des défis, tels que la gestion des compromis entre la récupération d’énergie et la communication, l’analyse des comportements non linéaires, et l’optimisation des performances dans des conditions réelles en intérieur. Cette thèse explore ces défis en étudiant les performances des OPVs dans des systèmes SLIPT. Les caractérisations statiques et dynamiques ont démontré leur efficacité dans la récupération d’énergie et la communication, même sous faible éclairage et dans des configurations courbées. Des études systématiques ont analysé l'impact des niveaux d’éclairement, de la courbure des dispositifs, et des circuits de réception sur les performances des OPVs, montrant leur robustesse et leur adaptabilité. Des simulations avancées, validées expérimentalement, ont permis de mieux comprendre le comportement des OPVs dans des scénarios intérieurs complexes, incluant la mobilité et les conditions de lumière diffuse. Un banc expérimental a été développé pour analyser les compromis dans les systèmes SLIPT, en comparant un circuit actif offrant des performances prévisibles mais nécessitant une alimentation externe, et une alternative passive plus économe en énergie mais moins prévisible. En combinant des approches expérimentales et de simulation, ce travail approfondit la compréhension des systèmes SLIPT basés sur les OPVs et traite des lacunes majeures dans ce domaine. Il établit une base solide pour l’intégration des OPVs dans des réseaux IoT autonomes, ouvrant la voie à des technologies durables, autoalimentées et efficaces, adaptées aux besoins modernes de l’IoT
Visible Light Communication (VLC) and Organic Photovoltaics (OPVs) cells offer promising solutions for the increasing energy and communication demands of the Internet of Things (IoT). VLC uses the visible light spectrum for secure and efficient data transmission, while OPVs provide flexible, low-cost, and sustainable energy harvesting, particularly under indoor lighting conditions. Together, they form the basis of Simultaneous Lightwave Information and Power Transfer (SLIPT), enabling devices to harvest energy and communicate through light. Despite their potential, integrating OPVs into SLIPT systems presents challenges such as managing the trade-offs between energy harvesting and communication, handling nonlinear behaviors, and optimizing performance under real-world indoor conditions. This thesis explores these challenges by investigating the performance of OPVs in SLIPT systems. Static and dynamic characterizations revealed their effectiveness in energy harvesting and communication, even under low-light and curved configurations. Systematic studies examined the impact of illumination levels, device curvature, and front-end circuitry on OPV performance, demonstrating their robustness and adaptability. Advanced simulations were also developed and validated experimentally, offering insights into OPV behavior in indoor scenarios, including mobility and diffuse light conditions. An experimental bench was developed to analyze SLIPT trade-offs, comparing an active front-end, which offered predictable performance but required external power, with a passive alternative that was more energy-efficient but exhibited less consistent behavior. By combining experimental and simulation approaches, this work advances the understanding of OPV-based SLIPT systems and addresses critical gaps in the field. It establishes a foundation for integrating OPVs into autonomous IoT networks, opening new pathways for sustainable, self-powered, and efficient technologies tailored to meet the demands IoT needs
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De, Oliveira Filho José Ilton. "Simultaneous Lightwave Information and Power Transfer (SLIPT)." Thesis, 2019. http://hdl.handle.net/10754/656097.

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Harvesting energy became one of the most prominent research topics around the world, not only for research institutes and universities but also for technology companies as well. Mainly focused on internet of things (IoT) applications, harvesting energy is a crucial factor for reducing costs that come with the use of batteries and increasing the devices’ working time. Simultaneous lightwave information and power transfer is a technique that seeks to use wireless optical communication to achieve both fundamental objectives in modern communication systems. This work presents the main techniques that are used to achieve SLIPT, a novel circuit that improves the standard methods and applications employing this circuit.
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Book chapters on the topic "Simultaneous Lightwave Information and Power Transfer (SLIPT)"

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Tushar, Nandita Pradhan, and Pooja Jaiswal. "Wireless Power Transfer Techniques for 6G Communication." In Advances in Wireless Technologies and Telecommunication, 1–54. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8799-3.ch001.

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This chapter examines robust beamforming to increase power economy and reliability in magnetic-based wireless power transfer with many transmitters and receivers while accounting for MII imperfection. Transfer learning saves energy and improves efficiency in wireless communications by learning from prior tasks using correlation and similarity information. Since CSI procurement takes energy, its benefits gradually drop as power driven gadgets increase, yet spread. With system stability, channel state information techniques expand power insurance. ISWPT's integrated operation decreases system size, hardware cost, power consumption, and spectrum, enabling 6G wireless networks. Reconfigurable intelligent surfaces in wireless power transfer systems and designs can optimize energy efficiency by addressing multi-user circumstances and power distribution. Using simultaneous lightwave information and power transfer to combine EH and data transmission is fascinating and matures efficiency.
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Conference papers on the topic "Simultaneous Lightwave Information and Power Transfer (SLIPT)"

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Diamantoulakis, Panagiotis D., and George K. Karagiannidis. "Simultaneous Lightwave Information and Power Transfer (SLIPT) for Indoor IoT Applications." In GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. http://dx.doi.org/10.1109/glocom.2017.8254781.

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Diamantoulakis, Panagiotis D., Koralia N. Pappi, Zheng Ma, Xianfu Lei, Paschalis C. Sofotasios, and George K. Karagiannidis. "Airborne Radio Access Networks with Simultaneous Lightwave Information and Power Transfer (SLIPT)." In GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8648007.

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Ghasvarianjahromi, Sara, Mehdi Karbalayghareh, Panagiotis D. Diamantoulakis, George K. Karagiannidis, and Murat Uysal. "Simultaneous Lightwave Information and Power Transfer in Underwater Visible Light Communications." In 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2019. http://dx.doi.org/10.1109/pimrc.2019.8904146.

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Tennakoon, Priyashantha, Dushantha Nalin K. Jayakody, and Sofiene Affes. "Simultaneous Lightwave Information and Power Transfer with Non-orthogonal Multiple Access." In 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS). IEEE, 2021. http://dx.doi.org/10.1109/iciafs52090.2021.9605894.

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Qiao, Hao, Chen Gong, Weijie Liu, and Zhengyuan Xu. "Simultaneous Lightwave Information and Power Transfer via Scattering and Line-of-Sight Links." In 2020 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2020. http://dx.doi.org/10.1109/iccworkshops49005.2020.9145408.

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C, Jenila, Marri Sravan Kumar, Tellabati Abhinav, Sykam Manoj, Vadla Mallikarjuna Chari, and Pamidi Mahaboob Basha. "Simultaneous Lightwave Information and Power Transfer-based Design of Green IoT Communication System." In 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). IEEE, 2023. http://dx.doi.org/10.1109/itechsecom59882.2023.10435193.

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