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

Reconfigurable intelligent surfaces (RIS) as an effective technique forintelligently manipulating channel paths through reflection to serve desiredusers. Full-duplex (FD) systems, enabling simultaneous transmission andreception from a base station (BS), offer the theoretical advantage of doubledspectrum efficiency. However, the presence of strong self-interference (SI) inFD systems significantly degrades performance, which can be mitigated byleveraging the capabilities of RIS. In this work, we consider joint BS and RISbeamforming for maximizing the downlink (DL) transmission rate whileguaranteeing uplink (UL) rate requirement. We propose an FD-RIS beamforming(FRIS) scheme by adopting penalty convex-concave programming. Simulationresults demonstrate the UL/DL rate improvements achieved by considering variouslevels of imperfect CSI. The proposed FRIS scheme validates their effectivenessacross different RIS deployments and RIS/BS configurations. FRIS has achievedthe highest rate compared to the other approximation method, conventionalbeamforming techniques, HD systems, and deployment without RIS.

Downlink Rate Maximization with Reconfigurable Intelligent Surface Assisted Full-Duplex Transmissions