dc.citation.conferencePlace |
FR |
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dc.citation.conferencePlace |
Paris, France |
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dc.citation.title |
2017 IEEE International Conference on Communications |
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dc.contributor.author |
Chae, Juhui |
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dc.contributor.author |
Lee, Hoon |
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dc.contributor.author |
Kim, Jaein |
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dc.contributor.author |
Lee, Inkyu |
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dc.date.accessioned |
2023-12-19T19:06:31Z |
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dc.date.available |
2023-12-19T19:06:31Z |
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dc.date.created |
2023-09-20 |
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dc.date.issued |
2017-05-21 |
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dc.description.abstract |
In this paper, we study self energy recycling techniques for point-to-point multiple-input multiple-output systems where a full-duplex transmitter with multiple antennas communicates with a multi-antenna receiver. Due to the full-duplex nature, the transmitter receives a signal transmitted by itself through a loop-back channel. Then, the energy of the signal is harvested and stored in an energy storage. Assuming time-slotted systems, we propose a new communication protocol in which the harvested energy at the transmitter is recycled for future data transmissions to the receiver. Under this setup, we present a transmit covariance matrix optimization method in order to maximize the sum rate performance for two different cases. First, for a perfect channel state information (CSI) case, the globally optimal algorithm for the sum rate maximization problem is proposed. Next, for an imperfect CSI case, we provide a robust covariance matrix optimization approach where the worst-case sum rate performance can be maximized. Numerical results demonstrate that the proposed methods offer a significant performance gain over conventional schemes. |
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dc.identifier.bibliographicCitation |
2017 IEEE International Conference on Communications |
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dc.identifier.doi |
10.1109/icc.2017.7996584 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/65762 |
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dc.publisher |
IEEE |
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dc.title |
Self energy recycling techniques for MIMO wireless communication systems |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-05-21 |
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