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 timeslotted 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.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Communications, ICC 2017 |
Editors | Merouane Debbah, David Gesbert, Abdelhamid Mellouk |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467389990 |
DOIs | |
Publication status | Published - 2017 Jul 28 |
Event | 2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 2017 May 21 → 2017 May 25 |
Publication series
Name | IEEE International Conference on Communications |
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ISSN (Print) | 1550-3607 |
Other
Other | 2017 IEEE International Conference on Communications, ICC 2017 |
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Country/Territory | France |
City | Paris |
Period | 17/5/21 → 17/5/25 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea Government (MSIP) under Grant 2014R1A2A1A10049769.
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering