The DOI matches its Crossref record; 194 of the 198 references it cites were found in a registry or an index.
Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges
Open accessAbstract
Initial efforts on wireless power transfer (WPT) have concentrated toward long-distance transmission and high power applications. Nonetheless, the lower achievable transmission efficiency and potential health concerns arising due to high power applications, have caused limitations in their further developments. Due to tremendous energy consumption growth with ever-increasing connected devices, alternative wireless information and power transfer techniques have been important not only for theoretical research but also for the operational costs saving and for the sustainable growth of wireless communications. In this regard, radio frequency energy harvesting (RF-EH) for a wireless communications system presents a new paradigm that allows wireless nodes to recharge their batteries from the RF signals instead of fixed power grids and the traditional energy sources. In this approach, the RF energy is harvested from ambient electromagnetic sources or from the sources that directionally transmit RF energy for EH purposes. Notable research activities and major advances have occurred over the last decade in this direction. Thus, this paper provides a comprehensive survey of the state-of-art techniques, based on advances and open issues presented by simultaneous wireless information and power transfer (SWIPT) and WPT assisted technologies. More specifically, in contrast to the existing works, this paper identifies and provides a detailed description of various potential emerging technologies for the fifth generation communications with SWIPT/WPT. Moreover, we provide some interesting research challenges and recommendations with the objective of stimulating future research in this emerging domain.
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“Moreover, ML-based proactive content caching at the edge node can also be exploited to avoid backhaul congestion and further reduce the service latency [66,67].”
From Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019) · cites this paper as [66]
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Cites
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4 of the 198 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
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Cited by
Sorted by citations
Ambient Backscatter Communications: A Contemporary Survey
Van Huynh, N., Hoang, D. T., Lu, X., Niyato, D., Wang, P., & Kim, D. I. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841964 · Cited by 932
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future
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Self-citationKhan, R., Kumar, P., Jayakody, D. N. K., & Liyanage, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2933899 · Cited by 625
Self-citation6G Wireless Communications Networks: A Comprehensive Survey
Alsabah, M. Q., Naser, M. A., Mahmmod, B. M., Abdulhussain, S. H., Eissa, M. R., Al-Baidhani, A., Noordin, N. K., Sait, S. M., Al-Utaibi, K. A., & Hashim, F. (2021) · IEEE Access · doi:10.1109/access.2021.3124812 · Cited by 622
Networking and Communications in Autonomous Driving: A Survey
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Metadata
- Authors
- Ponnimbaduge Perera, T. D., Jayakody, D. N. K., Sharma, S. K., Chatzinotas, S., & Li, J.
- Affiliations
- Tomsk Polytechnic University (RU)
- Western University (CA)
- University of Luxembourg (LU)
- ORCID
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2018
- Volume
- 20
- Issue
- 1
- Pages
- 264-302
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2775597598
- Cited by
- 920
- References
- 198
- Citations by year
- 2026: 52 · 2025: 100 · 2024: 109 · 2023: 94 · 2022: 129 · 2021: 141 · 2020: 148 · 2019: 104 · 2018: 42
- FWCI
- 33.44
- Type
- journal article
- Language
- en
- Open access
- green
- orbilu.uni.lu
- Locations
- IEEE Communications Surveys & Tutorials (publishedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion, cc-by-nc-sa)
- Funders
- framework of Competitiveness Enhancement Program of the National Research Tomsk Polytechnic University (TPU CEP_IC_110\2017)
- FNR
- Luxembourg INTER INWIPNET
- National Natural Science Foundation of China (6172780261501238)
- Jiangsu Provincial Science Foundation (BK20150786)
- Specially Appointed Professor Program in Jiangsu Province in 2015
- Fundamental Research Funds for the Central Universities (30916011205)
- COST Action on Inclusive Radio Communications (CA15104)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Communication Security Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
- Keywords
- simultaneous wireless information and power transfer, wireless power transfer, RF energy harvesting, ambient RF energy, battery charging, transmission efficiency
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