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Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming
Open accessAbstract
In this letter, we consider a large-scale multiple-input multiple-output (MIMO) system where the receiver should harvest energy from the transmitter by wireless power transfer to support its wireless information transmission. The energy beamforming in the large-scale MIMO system is utilized to address the challenging problem of long-distance wireless power transfer. Furthermore, considering the limitation of the power in such a system, this letter focuses on the maximization of the energy efficiency of information transmission (bit per Joule) while satisfying the quality-of-service (QoS) requirement, i.e. delay constraint, by jointly optimizing transfer duration and transmit power. By solving the optimization problem, we derive an energy-efficient resource allocation scheme. Numerical results validate the effectiveness of the proposed scheme.
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Metadata
- Authors
- Chen, X., Wang, X., & Chen, X.
- Venue
- IEEE Wireless Communications Letters
- Published
- 2013-12
- Volume
- 2
- Issue
- 6
- Pages
- 667-670
- ISSN
- 2162-2337 (ISSN-L)
- 2162-2345
- OpenAlex
- W2002056261
- Cited by
- 249
- References
- 0
- FWCI
- 15.98
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming. https://app.cochat.ai/papers/10.1109/wcl.2013.092813.130514
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- Chen, X., Wang, X., & Chen, X. (2013). Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming. IEEE Wireless Communications Letters. https://doi.org/10.1109/wcl.2013.092813.130514
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