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)-aided networks have beeninvestigated for the purpose of improving the system performance. However, theintroduced unit modulus phase shifts and coupling characteristic bring enormouschallenges to the optimization in the RIS-aided networks. Many efforts havebeen made to jointly optimize phase shift vector and other parameters. Thisarticle intends to survey the latest research results about the optimization inRIS-aided networks. A taxonomy is devised to categorize the existingliteratures based on optimization types, phase shift form, and decouplingmethods. Furthermore, in alternating optimization framework, we introduce indetail how to exploit the aforementioned technologies flexibly. It is knownthat most works could not guarantee a stationary point. To overcome thisproblem, we propose a unified framework for the optimization problem ofRIS-aided networks with continuous phase shifts to find a stationary point.Finally, key challenges are outlined to provide guidelines for the domainresearchers and designers to explore more efficient optimization frameworks,and then open issues are discussed.

Optimization Techniques in Reconfigurable Intelligent Surface Aided Networks