Data precoding and energy transmission for parameter estimation in MIMO wireless powered sensor networks

Naveen K.D. Venkategowda; Hoon Lee; Inkyu Lee

doi:10.1109/VTCFall.2017.8288111

Data precoding and energy transmission for parameter estimation in MIMO wireless powered sensor networks

Naveen K.D. Venkategowda, Hoon Lee, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

In this paper, we study parameter estimation in multiple-input multiple-output (MIMO) wireless powered sensor networks (WPSN). The sensor nodes are powered exclusively by harvesting the radio frequency signals transmitted from the energy access points. We propose a joint design of the sensor data precoders and energy covariance matrices to minimize the mean square error (MSE) of the parameter estimate. This design also incorporates optimal allocation of the harvested power for data acquisition and data transmission. We employ a zero-forcing precoding based estimation framework and the alternating minimization technique to compute the precoders, power allocation, and energy covariance matrices. Simulation results demonstrate that the proposed method achieves a superior estimation performance in comparison to the conventional energy transfer techniques for estimation in WPSNs.

Original language	English
Title of host publication	2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781509059355
DOIs	https://doi.org/10.1109/VTCFall.2017.8288111
Publication status	Published - 2017 Jul 2
Event	86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada Duration: 2017 Sept 24 → 2017 Sept 27

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2017-September
ISSN (Print)	1550-2252

Other

Other	86th IEEE Vehicular Technology Conference, VTC Fall 2017
Country/Territory	Canada
City	Toronto
Period	17/9/24 → 17/9/27

Bibliographical note

Funding Information:
This work was supported by National Research Foundation (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) of Korea Government under Grant 2014R1A2A1A10049769 and 2017R1A2B3012316.

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/VTCFall.2017.8288111

Cite this

Venkategowda, N. K. D., Lee, H., & Lee, I. (2017). Data precoding and energy transmission for parameter estimation in MIMO wireless powered sensor networks. In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings (pp. 1-5). (IEEE Vehicular Technology Conference; Vol. 2017-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2017.8288111

Data precoding and energy transmission for parameter estimation in MIMO wireless powered sensor networks. / Venkategowda, Naveen K.D.; Lee, Hoon; Lee, Inkyu.
2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (IEEE Vehicular Technology Conference; Vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Venkategowda, NKD, Lee, H & Lee, I 2017, Data precoding and energy transmission for parameter estimation in MIMO wireless powered sensor networks. in 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. IEEE Vehicular Technology Conference, vol. 2017-September, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 86th IEEE Vehicular Technology Conference, VTC Fall 2017, Toronto, Canada, 17/9/24. https://doi.org/10.1109/VTCFall.2017.8288111

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abstract = "In this paper, we study parameter estimation in multiple-input multiple-output (MIMO) wireless powered sensor networks (WPSN). The sensor nodes are powered exclusively by harvesting the radio frequency signals transmitted from the energy access points. We propose a joint design of the sensor data precoders and energy covariance matrices to minimize the mean square error (MSE) of the parameter estimate. This design also incorporates optimal allocation of the harvested power for data acquisition and data transmission. We employ a zero-forcing precoding based estimation framework and the alternating minimization technique to compute the precoders, power allocation, and energy covariance matrices. Simulation results demonstrate that the proposed method achieves a superior estimation performance in comparison to the conventional energy transfer techniques for estimation in WPSNs.",

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AB - In this paper, we study parameter estimation in multiple-input multiple-output (MIMO) wireless powered sensor networks (WPSN). The sensor nodes are powered exclusively by harvesting the radio frequency signals transmitted from the energy access points. We propose a joint design of the sensor data precoders and energy covariance matrices to minimize the mean square error (MSE) of the parameter estimate. This design also incorporates optimal allocation of the harvested power for data acquisition and data transmission. We employ a zero-forcing precoding based estimation framework and the alternating minimization technique to compute the precoders, power allocation, and energy covariance matrices. Simulation results demonstrate that the proposed method achieves a superior estimation performance in comparison to the conventional energy transfer techniques for estimation in WPSNs.

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Data precoding and energy transmission for parameter estimation in MIMO wireless powered sensor networks

Abstract

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Bibliographical note

ASJC Scopus subject areas

UN SDGs

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