English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Wirelessly powered backscatter communication (WPBC) has been identified as apromising technology for low-power communication systems, which can reap thebenefits of energy beamforming to improve energy transfer efficiency. Existingstudies on energy beamforming fail to simultaneously take energy supply andinformation transfer in WPBC into account. This paper takes the first step tofill this gap, by considering the trade-off between the energy harvesting rateand achievable rate using estimated backscatter channel state information(BS-CSI). To ensure reliable communication and user fairness, we formulate theenergy beamforming design as a max-min optimization problem by maximizing theminimum achievable rate for all tags subject to the energy constraint. Wederive the closed-form expression of the energy harvesting rate, as well as thelower bound of the ergodic achievable rate. Our numerical results indicate thatour scheme can significantly outperform state-of-the-art energy beamformingschemes. Additionally, the proposed scheme achieves performance comparable tothat obtained via beamforming with perfect CSI.

Energy Beamforming for Wireless Information and Power Transfer in Backscatter Multiuser Networks