Advances in Energy Harvesting Communications: Past, Present, and Future Challenges
Abstract
Recent emphasis on green communications has generated great interest in the investigations of energy harvesting communications and networking. Energy harvesting from ambient energy sources can potentially reduce the dependence on the supply of grid or battery energy, providing many attractive benefits to the environment and deployment. However, unlike the conventional stable energy, the intermittent and random nature of the renewable energy makes it challenging in the realization of energy harvesting transmission schemes. Extensive research studies have been carried out in recent years to address this inherent challenge from several aspects: energy sources and models, energy harvesting and usage protocols, energy scheduling and optimization, implementation of energy harvesting in cooperative, cognitive radio, multiuser and cellular networks, etc. However, there has not been a comprehensive survey to lay out the complete picture of recent advances and future directions. To fill such a gap, in this paper, we present an overview of the past and recent developments in these areas and highlight a number of possible future research avenues.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Miniature energy harvesters provide fluctuating voltage and energy, creating a significant obstacle to realizing self-powered memristor-based AI.
“This requirement for a stable supply voltage is in direct contrast with the properties of miniature energy harvesters such as tiny solar cells or thermoelectric generators, which provide fluctuating voltage and energy, creating a significant obstacle to realizing self-powered memristor-based AI17.”
From Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell (2024) · cites this paper as [17]
Cites
Markov decision processes: Discrete stochastic dynamic programming
Hazeghi, K., & Puterman, M. L. (1995) · Journal of the American Statistical Association · doi:10.2307/2291177 · Cited by 8,037 · see citing works
Energy Harvesting Wireless Communications: A Review of Recent Advances
Ulukus, S., Yener, A., Erkip, E., Simeone, O., Zorzi, M., Grover, P., & Huang, K. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2391531 · Cited by 805 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Simultaneous 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 · see citing works
Jebali, F., Majumdar, A., Turck, C., Harabi, K.-E., Faye, M.-C., Muhr, E., Walder, J.-P., Bilousov, O., Michaud, A., Vianello, E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-44766-6 · Cited by 58 · see citing works
- Authors
- Ku, M.-L., Li, W., Chen, Y., & Ray Liu, K. J.
- Affiliations
- National Central University (TW)
- Xi'an Jiaotong University (CN)
- University of Electronic Science and Technology of China (CN)
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2016
- Volume
- 18
- Issue
- 2
- Pages
- 1384-1412
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2342830374
- Cited by
- 606
- References
- 2
- Citations by year
- 2026: 28 · 2025: 36 · 2024: 40 · 2023: 42 · 2022: 42 · 2021: 67 · 2020: 79 · 2019: 95 · 2018: 82 · 2017: 74 · 2016: 21
- FWCI
- 28.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Communications Surveys & Tutorials (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (MOST 103-2221-E-008-035, MOST 104-2221-E-008-045)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
- Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Keywords
- energy harvesting communication, green communication, ambient energy sources, renewable energy, energy scheduling, energy optimization, cooperative communication, cognitive radio, multi-user networks, cellular networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review