The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Optimal Energy Allocation for Wireless Communications With Energy Harvesting Constraints
Open accessAbstract
We consider the use of energy harvesters, in place of conventional batteries with fixed energy storage, for point-to-point wireless communications. In addition to the challenge of transmitting in a channel with time selective fading, energy harvesters provide a perpetual but unreliable energy source. In this paper, we consider the problem of energy allocation over a finite horizon, taking into account channel conditions and energy sources that are time varying, so as to maximize the throughput. Two types of side information (SI) on the channel conditions and harvested energy are assumed to be available: causal SI (of the past and present slots) or full SI (of the past, present and future slots). We obtain structural results for the optimal energy allocation, via the use of dynamic programming and convex optimization techniques. In particular, if unlimited energy can be stored in the battery with harvested energy and the full SI is available, we prove the optimality of a water-filling energy allocation solution where the so-called water levels follow a staircase function.
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Cites
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Power management in energy harvesting sensor networks
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Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies
Ozel, O., Tutuncuoglu, K., Yang, J., Ulukus, S., & Yener, A. (2011) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2011.110921 · Cited by 1,086
Optimal energy management policies for energy harvesting sensor nodes
Sharma, V., Mukherji, U., Joseph, V., & Gupta, S. (2010) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2010.04.080749 · Cited by 644
Finite-state Markov modeling of fading channels - a survey of principles and applications
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Information-theoretic analysis of an energy harvesting communication system
Ozel, O., & Ulukuş, Ş. (2010) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrcw.2010.5670389 · Cited by 114
Cited by
Throughput Maximization for UAV-Enabled Mobile Relaying Systems
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2611512 · Cited by 1,315
Self-citationEnergy 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
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead
Buzzi, S., I, C.-L., Klein, T. E., Poor, H. V., Yang, C., & Zappone, A. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2550338 · Cited by 721
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
- Ho, C. K., & Zhang, R.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2012-09
- Volume
- 60
- Issue
- 9
- Pages
- 4808-4818
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W1794490453
- Cited by
- 698
- References
- 12
- FWCI
- 52.70
- Type
- journal article
- Language
- en
- Open access
- green
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