Simultaneous Wireless Information and Power Transfer Based on Generalized Triangular Decomposition

Ahmed Al-Baidhani, Mikko Vehkaperä, Mohammed Benaissa

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In this paper, a new approach, based on the generalized triangular decomposition (GTD), is proposed for simultaneous wireless information and power transfer (SWIPT) in the spatial domain for a point-to-point multiple-input multiple-output (MIMO) system. The proposed approach takes advantage of the GTD structure to allow the transmitter to use the strongest eigenchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver. The optimal structure of the GTD that maximizes the total information rate constrained by a given power allocation and a required amount of energy harvesting is derived. An algorithm is developed that minimizes the total transmitted power for given information rate and energy harvesting constraints with a limited total power at the transmitter. Both theoretical and simulation results show that our proposed GTD based SWIPT outperforms singular value decomposition (SVD) based SWIPT. This is due to the flexibility introduced by the GTD to increase the energy harvested via interstream interference.

Original languageEnglish
Article number8691551
Pages (from-to)751-764
JournalIEEE Transactions on Green Communications and Networking
Volume3
Issue number3
DOIs
Publication statusPublished - Sep 2019
MoE publication typeA1 Journal article-refereed

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Energy harvesting
Transmitters
Singular value decomposition

Keywords

  • Energy harvesting
  • generalized triangular decomposition
  • MIMO channel
  • optimization
  • singular value decomposition
  • SWIPT

Cite this

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title = "Simultaneous Wireless Information and Power Transfer Based on Generalized Triangular Decomposition",
abstract = "In this paper, a new approach, based on the generalized triangular decomposition (GTD), is proposed for simultaneous wireless information and power transfer (SWIPT) in the spatial domain for a point-to-point multiple-input multiple-output (MIMO) system. The proposed approach takes advantage of the GTD structure to allow the transmitter to use the strongest eigenchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver. The optimal structure of the GTD that maximizes the total information rate constrained by a given power allocation and a required amount of energy harvesting is derived. An algorithm is developed that minimizes the total transmitted power for given information rate and energy harvesting constraints with a limited total power at the transmitter. Both theoretical and simulation results show that our proposed GTD based SWIPT outperforms singular value decomposition (SVD) based SWIPT. This is due to the flexibility introduced by the GTD to increase the energy harvested via interstream interference.",
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Simultaneous Wireless Information and Power Transfer Based on Generalized Triangular Decomposition. / Al-Baidhani, Ahmed; Vehkaperä, Mikko; Benaissa, Mohammed.

In: IEEE Transactions on Green Communications and Networking, Vol. 3, No. 3, 8691551, 09.2019, p. 751-764.

Research output: Contribution to journalArticleScientificpeer-review

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N2 - In this paper, a new approach, based on the generalized triangular decomposition (GTD), is proposed for simultaneous wireless information and power transfer (SWIPT) in the spatial domain for a point-to-point multiple-input multiple-output (MIMO) system. The proposed approach takes advantage of the GTD structure to allow the transmitter to use the strongest eigenchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver. The optimal structure of the GTD that maximizes the total information rate constrained by a given power allocation and a required amount of energy harvesting is derived. An algorithm is developed that minimizes the total transmitted power for given information rate and energy harvesting constraints with a limited total power at the transmitter. Both theoretical and simulation results show that our proposed GTD based SWIPT outperforms singular value decomposition (SVD) based SWIPT. This is due to the flexibility introduced by the GTD to increase the energy harvested via interstream interference.

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