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Wireless Networks With RF Energy Harvesting: A Contemporary Survey
Open accessAbstract
Radio frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to power the next-generation wireless networks. As this emerging technology enables proactive energy replenishment of wireless devices, it is advantageous in supporting applications with quality-of-service requirements. In this paper, we present a comprehensive literature review on the research progresses in wireless networks with RF energy harvesting capability, which is referred to as RF energy harvesting networks (RF-EHNs). First, we present an overview of the RF-EHNs including system architecture, RF energy harvesting techniques, and existing applications. Then, we present the background in circuit design as well as the state-of-the-art circuitry implementations and review the communication protocols specially designed for RF-EHNs. We also explore various key design issues in the development of RF-EHNs according to the network types, i.e., single-hop networks, multiantenna networks, relay networks, and cognitive radio networks. Finally, we envision some open research directions.
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Cited by
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
Self-citationSimultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges
Ponnimbaduge Perera, T. D., Jayakody, D. N. K., Sharma, S. K., Chatzinotas, S., & Li, J. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2783901 · Cited by 920
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges
Ku, M.-L., Li, W., Chen, Y., & Ray Liu, K. J. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2497324 · Cited by 606
5G cellular: key enabling technologies and research challenges
Hossain, E., & Hasan, M. (2015) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2015.7108393 · Cited by 601
Learning-Based Computation Offloading for IoT Devices With Energy Harvesting
Min, M., Xiao, L., Chen, Y., Cheng, P., Wu, D., & Zhuang, W. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2890685 · Cited by 560
Metadata
- Authors
- Lu, X., Wang, P., Niyato, D., Kim, D. I., & Han, Z.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2015
- Volume
- 17
- Issue
- 2
- Pages
- 757-789
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W1966000877
- Cited by
- 2,603
- References
- 0
- FWCI
- 118.86
- Type
- journal article
- Language
- en
- Open access
- green
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- Lu, X., Wang, P., Niyato, D., Kim, D. I., & Han, Z. (2015). Wireless Networks With RF Energy Harvesting: A Contemporary Survey. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2014.2368999
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