Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition

Ahmed Al-Baidhani, Mohammed Benaissa, Mikko Vehkapera

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

In this paper, we investigate a new approach for simultaneous wireless information and power transfer (SWIPT) in point-To-point multiple-input multiple-output (MIMO) system with spatial switching (SS) reception. The new approach is based on the generalized triangular decomposition (GTD). The approach takes advantage of the GTD structure to allow the transmitter to use the strongest subchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver to comply with the SS system requirements. An optimal solution is developed in the paper for SWIPT based on GTD that jointly obtains the optimal subchannels assignment and maximizes the total data rate while meeting the minimum requirement of the harvested energy with limited total transmitted power. The theoretical and numerical results presented in this paper show that the proposed approach significantly outperforms the state of the art spatial domain SWIPT systems based on the singular value decomposition (SVD).
Original languageEnglish
Title of host publication2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-5386-6119-2, 978-1-5386-9118-5
ISBN (Print)978-1-5386-6120-8
DOIs
Publication statusPublished - 30 Nov 2018
MoE publication typeA4 Article in a conference publication
Event10th International Conference on Wireless Communications and Signal Processing, WCSP 2018 - Hangzhou, China
Duration: 18 Oct 201820 Oct 2018

Conference

Conference10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
CountryChina
CityHangzhou
Period18/10/1820/10/18

Fingerprint

Transceivers
Energy harvesting
Switching systems
Singular value decomposition
Transmitters

Cite this

Al-Baidhani, A., Benaissa, M., & Vehkapera, M. (2018). Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition. In 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018 [8555580] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/WCSP.2018.8555580
Al-Baidhani, Ahmed ; Benaissa, Mohammed ; Vehkapera, Mikko. / Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition. 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018. IEEE Institute of Electrical and Electronic Engineers , 2018.
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Al-Baidhani, A, Benaissa, M & Vehkapera, M 2018, Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition. in 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018., 8555580, IEEE Institute of Electrical and Electronic Engineers , 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018, Hangzhou, China, 18/10/18. https://doi.org/10.1109/WCSP.2018.8555580

Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition. / Al-Baidhani, Ahmed; Benaissa, Mohammed; Vehkapera, Mikko.

2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018. IEEE Institute of Electrical and Electronic Engineers , 2018. 8555580.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Al-Baidhani A, Benaissa M, Vehkapera M. Transceiver Design for Data Rate Maximization of MIMO SWIPT System Based on Generalized Triangular Decomposition. In 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018. IEEE Institute of Electrical and Electronic Engineers . 2018. 8555580 https://doi.org/10.1109/WCSP.2018.8555580