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 Surface (RIS) has becoming a useful tool in futurewireless communication systems for close-distance communication network. Thispaper we use Reconfigurable Intelligent Surface (RIS) for downlink multi-usercommunication designed to improve energy collection performance whilesatisfying wireless information and Power Transfer (WIPT). The designed systemconsists of an IRS-assisted system consists of a multi-antenna assisted basestation (BS) and two opposite multi-antenna assisted information receivercooperated (RIS) as energy receiver (ERs) that meets energy collectionrequirements. Based on the electromagnetic property of ReconfigurableIntelligent Surface (RIS), like two mirrors that are opposite each other,setting two Reconfigurable Intelligent Surface (RIS) attached to the citybuildings to reflect the sending signals. The transmitting precoding of theMulti-antenna Auxiliary Base Station (BS) and the angular phase transfer matrixof the multi-antenna Auxiliary Information Receiver (IRs) need to be optimizedtogether to maximize the energy harvesting of IoT devices for energy efficiency(EE) of the IRs system and to provide users with the efficiency of the receivedsignal. In order to solve the joint optimization problem effectively, we turnthe non-convex maximize problem into the equivalent formal error method basedon the mean square, and finally use the iterative algorithm for optimization.As for algorithm, we respectively use MSE method, semidefinite relaxationtechniques to simplify transmitting beamforming matrix and the matrix phaseshift. Through the observation of simulation data, it can be concluded that theperformance optimization method of SDR based on RIS is effective.

Joint Beamforming and Phase Optimization in a Multi-user Communication System Composed of Dual Reconfigurable Intelligent Surfaces