University of Oulu

O. L. A. López, F. A. Monteiro, H. Alves, R. Zhang and M. Latva-Aho, "A Low-Complexity Beamforming Design for Multiuser Wireless Energy Transfer," in IEEE Wireless Communications Letters, vol. 10, no. 1, pp. 58-62, Jan. 2021, doi: 10.1109/LWC.2020.3020576

A low-complexity beamforming design for multiuser wireless energy transfer

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Author: López, Onel L. A.1; Monteiro, Francisco A.2; Alves, Hirley1;
Organizations: 1Centre for Wireless Communications University of Oulu, Finland
2Instituto de Telecomunicações, and ISCTE - Instituto Universitário de Lisboa, Portugal
3National University of Singapore, Singapore
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202103258333
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-03-25
Description:

Abstract

Wireless energy transfer (WET) is a green enabler of low-power Internet of Things (IoT). Therein, traditional optimization schemes relying on full channel state information (CSI) are often too costly to implement due to excessive energy consumption and high processing complexity. This letter proposes a simple, yet effective, energy beamforming scheme that allows a multi-antenna power beacon (PB) to fairly power a set of IoT devices by only relying on the first-order statistics of the channels. In addition to low complexity, the proposed scheme performs favorably as compared to benchmarking schemes and its performance improves as the number of PB’s antennas increases. Finally, it is shown that further performance improvement can be achieved through proper angular rotations of the PB.

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Series: IEEE wireless communications letters
ISSN: 2162-2337
ISSN-E: 2162-2345
ISSN-L: 2162-2337
Volume: 10
Issue: 1
Pages: 58 - 62
DOI: 10.1109/LWC.2020.3020576
OADOI: https://oadoi.org/10.1109/LWC.2020.3020576
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
IoT
WET
Funding: This work is supported by Academy of Finland (Aka) (Grants n.307492, n.318927 (6Genesis Flagship), n.319008 (EE-IoT)), FCT (Foundation for Science and Technology) and Instituto de Telecomunicações through national funds, and when applicable co-funded EU funds, under the project UIDB/EEA/50008/2020.
Academy of Finland Grant Number: 307492
318927
319008
Detailed Information: 307492 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
319008 (Academy of Finland Funding decision)
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