Channel estimation and hybrid architectures for RIS-assisted communications
He, Jiguang; Nguyen, Nhan Thanh; Schroeder, Rafaela; Tapio, Visa; Kokkoniemi, Joonas; Juntti, Markku (2021-07-28)
J. He, N. T. Nguyen, R. Schroeder, V. Tapio, J. Kokkoniemi and M. Juntti, "Channel Estimation and Hybrid Architectures for RIS-Assisted Communications," 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021, pp. 60-65, doi: 10.1109/EuCNC/6GSummit51104.2021.9482600
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2021100149102
Tiivistelmä
Abstract
Reconfigurable intelligent surfaces (RISs) are considered as potential technologies for the upcoming sixth-generation (6G) wireless communication system. Various benefits brought by deploying one or multiple RISs include increased spectrum and energy efficiency, enhanced connectivity, extended communication coverage, reduced complexity at transceivers, and even improved localization accuracy. However, to unleash their full potential, fundamentals related to RISs, ranging from physical-layer (PHY) modelling to RIS phase control, need to be addressed thoroughly. In this paper, we provide an overview of some timely research problems related to the RIS technology, i.e., PHY modelling (including also physics), channel estimation, potential RIS architectures, and RIS phase control (via both model-based and data-driven approaches), along with recent numerical results. We envision that more efforts will be devoted towards intelligent wireless environments, enabled by RISs.
Kokoelmat
- Avoin saatavuus [38841]