• Low-Complexity Beamforming Des...

Treffer: Low-Complexity Beamforming Designs and Channel Estimation for Passive Intelligent Surface Assisted MISO Energy Transfer

Title:
Low-Complexity Beamforming Designs and Channel Estimation for Passive Intelligent Surface Assisted MISO Energy Transfer
Authors:
Mishra, D, Johansson, H
Source:
urn:ISSN:2327-4662 ; IEEE Internet of Things Journal, 10, 9, 8286-8304
Publisher Information:
IEEE
Publication Year:
2022
Collection:
UNSW Sydney (The University of New South Wales): UNSWorks
Subject Terms:
4613 Theory Of Computation, 40 Engineering, 46 Information and Computing Sciences, 4006 Communications Engineering, 4008 Electrical Engineering, Biomedical Imaging, 7 Affordable and Clean Energy, anzsrc-for: 4613 Theory Of Computation, anzsrc-for: 40 Engineering, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4006 Communications Engineering, anzsrc-for: 4008 Electrical Engineering, anzsrc-for: 0805 Distributed Computing, anzsrc-for: 1005 Communications Technologies
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
unknown
Relation:
http://hdl.handle.net/1959.4/unsworks_82005; https://doi.org/10.1109/JIOT.2022.3231356
DOI:
10.1109/JIOT.2022.3231356
Availability:
http://hdl.handle.net/1959.4/unsworks_82005
https://unsworks.unsw.edu.au/bitstreams/5899c726-ea99-49ea-b055-d973903fe936/download
https://doi.org/10.1109/JIOT.2022.3231356
Rights:
open access ; https://purl.org/coar/access_right/c_abf2 ; CC-BY ; https://creativecommons.org/licenses/by/4.0/ ; free_to_read ; © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accession Number:
edsbas.2C9B18D9
Database:
BASE

Weitere Informationen

The usage of passive intelligent surface (PIS) is emerging as a low-cost green alternative to massive antenna systems for realizing high energy beamforming (EB) gains. Considering the limited computational capability and constant-envelope precoding for PIS, we propose three novel low-complexity passive EB designs for optimizing the efficacy of PIS-assisted energy transfer (PET) from a multiantenna power beacon (PB) to a single-antenna energy harvesting (EH) user. The first EB design involves solving a univariate equation, and closed forms expressed are presented for the other two. Further, to maximize the practical utility of PET, we introduce a novel channel estimation (CE) protocol for obtaining least-squares estimators for the channels as required for EB designing. Using them, we also derive closed-form expressions for optimal PIS location and optimal time allocation between CE and PET within each coherence block to maximize the user’s net harvested energy. Numerical results verify the CE analysis and validate the novel analytical bound derived for received power during PET and proposed PIS designs’ quality against existing benchmarks. We show that the proposed jointly optimal design for PET can yield a significant improvement of about 15dB, and a reduced active array size at PB can achieve the desired EB gain with sufficient passive elements at PIS. Lastly, we also briefly discuss how the proposed CE and EB designs can be extended to the multiuser settings.