SNR-based configuration for RIS-integrated NR |
|
Author: | Tapio, Visa1; Jagyasi, Deepa2; Shojaeifard, Arman2; |
Organizations: |
1Centre for Wireles Communications (CWC), University of Oulu, Oulu, Finland 2InterDigital Europe, Ltd., London, UK |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.6 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202301306391 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
|
Publish Date: | 2023-01-30 |
Description: |
AbstractConfiguration of a reconfigurable intelligent surface (RIS) as a solution to an optimization problem for spectral or energy efficiency requires the estimation of the channels between the transmitter and the RIS and between the RIS and the receiver. The channel estimation and the RIS configuration by optimization are computationally intensive processes in RIS assisted wireless links. The approach proposed in this paper simplifies and speeds up the RIS configuration process by relaxing the demand to find the optimal solution but instead aims to reach a predetermined channel quality measured with the signal-to-noise ratio. It is also shown that when a single dominant path exists between a mobile user and the RIS and also between the RIS and a base station, the RIS configuration calculated as a solution to a spectral efficiency maximization problem and configuration based on conventional antenna array beam steering give the same result. see all
|
Series: |
IEEE Vehicular Technology Conference |
ISSN: | 1550-2252 |
ISSN-E: | 2577-2465 |
ISSN-L: | 1550-2252 |
ISBN: | 978-1-6654-5468-1 |
ISBN Print: | 978-1-6654-5469-8 |
Pages: | 1 - 5 |
Host publication: |
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 26 - 29 September 2022 : proceedings |
Conference: |
IEEE Vehicular Technology Conference |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This research is partially funded by the Academy of Finland 6Genesis Flagship (grant 318927) and InterDigital Europe, Ltd. |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
© 2022 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. |