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Energy Efficient SWIPT: From Fully-Digital to Hybrid Analog-Digital Beamforming

Li, A; Masouros, C; (2017) Energy Efficient SWIPT: From Fully-Digital to Hybrid Analog-Digital Beamforming. IEEE Transactions on Vehicular Technology 10.1109/TVT.2017.2782775. (In press). Green open access

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Abstract

CCBY Simultaneous wireless information and power transfer (SWIPT) enables the transmission of information symbols and energy simultaneously. In this paper, we study the MIMO SWIPT systems with limited RF chains at the base station. We focus on the scenario where there is one information decoder with a target SINR and several separate energy harvesting receivers with harvested energy thresholds. To motivate our energy-efficient hybrid analog-digital beamforming strategy, the fully-digital power minimization problem is firstly analyzed, where we mathematically show that the optimal beamformer consists of only the information beamformer, and derive closed-form beamformers for a number of special cases. Based on this result, we further consider hybrid beamforming and propose an iterative scheme where the analog and digital beamformers are alternately updated. For the proposed scheme, in each iteration we design the analog beamformer by minimizing the difference between the fully-digital beamformer and the hybrid beamformer. Based on our above analysis for fully-digital case, the optimal solution for analog beamformer can be obtained via a geometrical interpretation. We further design the robust beamformers for the proposed schemes, when only imperfect channel state information (CSI) is available. The numerical results show that the proposed iterative designs achieve a close-to-optimal performance with significant gains in the total power consumption over fully-digital SWIPT.

Type: Article
Title: Energy Efficient SWIPT: From Fully-Digital to Hybrid Analog-Digital Beamforming
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TVT.2017.2782775
Publisher version: http://doi.org/10.1109/TVT.2017.2782775
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.
Keywords: MIMO, SWIPT, hybrid beamforming, optimization, Lagrangian, geometrical approach
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10041640
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