Jiaqi Xu

TL;DR: A comprehensive overview of the state-of-the-art on RISs, with focus on their operating principles, performance evaluation, beamforming design and resource management, applications of machine learning to RIS-enhanced wireless networks, as well as the integration of RISs with other emerging technologies.

TL;DR: A comprehensive overview of the state-of-the-art on RISs, with focus on their operating principles, performance evaluation, beamforming design and resource management, applications of machine learning to RIS-enhanced wireless networks, as well as the integration of RISs with other emerging technologies is provided in this article.

TL;DR: In this paper, a novel simultaneously transmitting and reflecting (STAR) system design relying on reconfigurable intelligent surfaces (RISs) is conceived, and three practical protocols are proposed for their operation, namely energy splitting, mode switching, and time switching.

TL;DR: Compared with the conventional reflecting-only RISs, the coverage of STAR-RISs is extended to 360 degrees via simultaneous transmission and reflection and channel models are proposed for the near-field and the far-field scenarios, base on which the diversity gain is analyzed and compared with that of the conventional RISs.

TL;DR: This article discusses four practical hardware implementations of STAR-IOSs as well as three hardware modeling techniques and five channel modeling methods to clarify the taxonomy of smart surface technologies in support of further investigating the family of STARs.