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Low-Complexity Beamforming Designs and Channel Estimation for Passive-Intelligent-Surface-Assisted MISO Energy Transfer
Univ New South Wales, Australia.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6329-9132
2023 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 10, no 9, p. 8286-8304Article in journal (Refereed) Published
Abstract [en]

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 users 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 15 dB, and a reduced active array size at PB can achieve the desired EB gain with sufficient passive elements at PIS. Finally, we also briefly discuss how the proposed CE and EB designs can be extended to the multiuser settings.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2023. Vol. 10, no 9, p. 8286-8304
Keywords [en]
Protocols; MISO communication; Channel estimation; Array signal processing; Resource management; Internet of Things; Coherence; Beamforming; channel estimation (CE); intelligent surfaces; least squares; phase shifters (PSs); wireless power transfer
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-194478DOI: 10.1109/JIOT.2022.3231356ISI: 000976244700064OAI: oai:DiVA.org:liu-194478DiVA, id: diva2:1765854
Note

Funding Agencies|ELLIIT; Australian Research Council Discovery Early Career Award (DECRA) [DE230101391]

Available from: 2023-06-12 Created: 2023-06-12 Last updated: 2023-06-12

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