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
Channel estimation and hybrid architectures for RIS-assisted communications
|Author:||He, Jiguang1; Nguyen, Nhan Thanh1; Schroeder, Rafaela1;|
1Centre for Wireless Communications, FI-90014, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021100149102
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-10-01
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.
European Conference on Networks and Communications
|Pages:||60 - 65|
Joint 30th European Conference on Networks and Communications and 3rd 6G Summit, EuCNC/6G Summit 2021
Joint European Conference on Networks and Communications & 6G Summit
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work is supported by Horizon 2020, European Union’s Framework Programme for Research and Innovation, under grant agreement no. 871464 (ARIADNE) and partially supported by the Academy of Finland 6Genesis Flagship (grant 318927) and by the Academy of Finland (ROHM project, grant 319485). We would like to thank Dr. Henk Wymeersch, the coathor of , , and Dr. Quang-Doanh Vu, Dr. Kyungchun Lee, the co-authors of , , for their contributions to the development of the CE schemes and the HR-RIS architectures introduced in this paper.
|EU Grant Number:||
(871464) ARIADNE - Artificial Intelligence Aided D-band Network for 5G Long Term Evolution
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
319485 (Academy of Finland Funding decision)
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