Reconfigurable Intelligent Surface Placement in 5G NR/6G: Optimization and Performance Analysis
Impact
Scholar |
Other documents of the author: Brancati, Gianluca; Chukhno, Olga; Chukhno, Nadezhda; ARANITI, Giuseppe
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/159451
comunitat-uji-handle4:
INVESTIGACIONThis resource is restricted
https://doi.org/10.1109/PIMRC54779.2022.997801 |
Metadata
Title
Reconfigurable Intelligent Surface Placement in 5G NR/6G: Optimization and Performance AnalysisDate
2022-09-12Publisher
IEEEISBN
9781665480536; 9781665480543Bibliographic citation
G. Brancati, O. Chukhno, N. Chukhno and G. Araniti, "Reconfigurable Intelligent Surface Placement in 5G NR/6G: Optimization and Performance Analysis," 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Kyoto, Japan, 2022, pp. 1-6, doi: 10.1109/PIMRC54779.2022.9978019.Type
info:eu-repo/semantics/conferenceObjectPublisher version
https://ieeexplore.ieee.org/document/9978019/authors#authorsVersion
info:eu-repo/semantics/publishedVersionSubject
Abstract
The reconfigurable intelligent surface (RIS) adoption has drawn significant attention for the upcoming generation of cellular networks, i.e., 5G New Radio (NR)/6G, as a technology for forming virtual line-of-sight ... [+]
The reconfigurable intelligent surface (RIS) adoption has drawn significant attention for the upcoming generation of cellular networks, i.e., 5G New Radio (NR)/6G, as a technology for forming virtual line-of-sight (LoS) links during human blockage or non-line-of-sight (NLoS) transmissions. However, the exploration of RIS placement under realistic conditions of multiple user operations has been limited by 1-2 user scenarios, but still is crucial since RIS deployment affects system performance. This paper addresses the challenge of optimal RIS deployment in 5G NR/6G cellular networks with directional antennas. Specifically, we formulate the RIS deployment problem as a facility location problem that maximizes the total data rate. We then evaluate and analyze the impact of various parameters on RIS-aided communications, such as RIS height, blockers density, number of users, and user distribution. The results confirm that the optimal RIS placement is near the BS for the case of uniform and cluster user distributions with RIS height of more than 5 m and close to the hotspots in the case of the cluster user distribution with RIS height of less than 5 m. [-]
Description
Ponencia presentada en la 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 12-15 September 2022, Kyoto, Japan
Funder Name
European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie
Project code
813278
Rights
978-1-6654-8053-6/22/$31.00 ©2022 IEEE
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess