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

Unmanned aerial vehicles (UAVs) have been successfully adopted to enhance theflexibility and robustness of wireless communication networks. And recently,the reconfigurable intelligent surface (RIS) technology has been paidincreasing attention to improve the throughput of the fifth-generation (5G)millimeter-wave (mmWave) wireless communication. In this work, we propose anRIS-outfitted UAV (RISoUAV) to secure an uninterrupted line-of-sight (LoS) linkwith a ground moving target (MT). The MT can be an emergency ambulance and needa secure wireless communication link for continuous monitoring and diagnosingthe health condition of a patient, which is vital for delivering criticalpatient care. In this light, real-time communication is required for sendingvarious clinical multimedia data including videos, medical images, and vitalsigns. This significant target is achievable thanks to the 5G wirelesscommunication assisted with RISoUAV. A two-stage optimization method isproposed to optimize the RISoUAV trajectory limited to UAV motion and LoSconstraints. At the first stage, the optimal tube path of the RISoUAV isdetermined by taking into account the energy consumption, instant LoS link, andUAV speed/acceleration constraints. At the second stage, an accurate RISoUAVtrajectory is obtained by considering the communication channel performance andpassive beamforming. Simulation results show the accuracy and effectiveness ofthe method.

Navigation of a UAV Equipped with a Reconfigurable Intelligent Surface for LoS Wireless Communication with a Ground Vehicle