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.
|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.|
|Publication status||Published - 2017 Jul 28|
|Event||2017 IEEE International Conference on Communications, ICC 2017 - Paris, France|
Duration: 2017 May 21 → 2017 May 25
|Name||IEEE International Conference on Communications|
|Other||2017 IEEE International Conference on Communications, ICC 2017|
|Period||17/5/21 → 17/5/25|
Bibliographical noteFunding 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