The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Energy Cooperation in Energy Harvesting Communications
Open accessAbstract
In energy harvesting communications, users transmit messages using energy harvested from nature during the course of communication. With an optimum transmit policy, the performance of the system depends only on the energy arrival profiles. In this paper, we introduce the concept of energy cooperation, where a user wirelessly transmits a portion of its energy to another energy harvesting user. This enables shaping and optimization of the energy arrivals at the energy-receiving node, and improves the overall system performance, despite the loss incurred in energy transfer. We consider several basic multi-user network structures with energy harvesting and wireless energy transfer capabilities: relay channel, two-way channel and multiple access channel. We determine energy management policies that maximize the system throughput within a given duration using a Lagrangian formulation and the resulting KKT optimality conditions. We develop a two-dimensional directional water-filling algorithm which optimally controls the flow of harvested energy in two dimensions: in time (from past to future) and among users (from energy-transferring to energy-receiving) and show that a generalized version of this algorithm achieves the boundary of the capacity region of the two-way channel.
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Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 36,808
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
User cooperation diversity-part I: system description
Sendonaris, A., Erkip, E., & Aazhang, B. (2003) · IEEE Transactions on Communications · doi:10.1109/tcomm.2003.818096 · Cited by 6,285
Wireless Power Transfer via Strongly Coupled Magnetic Resonances
Kurs, A., Karalis, A., Moffatt, R., Joannopoulos, J. D., Fisher, P., & Soljačić, M. (2007) · Science · doi:10.1126/science.1143254 · Cited by 5,576
Inequalities: Theory of Majorization and its Applications.
Arnold, B. C., Marshall, A. W., & Olkin, I. (1981) · Journal of the American Statistical Association · doi:10.2307/2287859 · Cited by 4,870
MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
Zhang, R., & Ho, C. K. (2013) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2013.031813.120224 · Cited by 2,739
Inequalities: Theory of Majorization and Its Applications
Marshall, A. W., Olkin, I., & Arnold, B. C. (2011) · Springer Series in Statistics · doi:10.1007/978-0-387-68276-1 · Cited by 2,567
Transporting information and energy simultaneously
Varshney, L. R. (2008) · 2008 IEEE International Symposium on Information Theory · doi:10.1109/isit.2008.4595260 · Cited by 1,785
The History of Power Transmission by Radio Waves
Brown, W. C. (1984) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.1984.1132833 · Cited by 1,638
Cited by
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
Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review
Jawad, H., Nordin, R., Gharghan, S., Jawad, A., & Ismail, M. (2017) · Sensors · doi:10.3390/s17081781 · Cited by 710
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
Metadata
- Authors
- Gurakan, B., Ozel, O., Yang, J., & Ulukus, S.
- Venue
- IEEE Transactions on Communications
- Published
- 2013-12
- Volume
- 61
- Issue
- 12
- Pages
- 4884-4898
- ISSN
- 0090-6778 (ISSN-L)
- OpenAlex
- W1966708639
- Cited by
- 275
- References
- 42
- FWCI
- 27.36
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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