Comparative analysis of reconfigurable intelligent surfaces and relay nodes for energy saving

Otros/as autores/as

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils

Fecha de publicación

2025



Resumen

Different technologies are currently being investigated to reduce the energy consumption of beyond 5 G systems. Two of the most preeminent ones are the Reconfigurable Intelligent Surfaces (RISs) and the relays, as both of them allow reducing the overall transmitted power levels at the base stations. However, due to the different nature of the two approaches, RISs being mostly passive while relays being active devices, it is unclear in which conditions one or the other leads to higher energy savings. This paper intends to shed light on this question by presenting a thorough analytical study of both approaches. Compared to the current literature, this study goes a step further by considering a more accurate RIS modeling based on actual RIS equipment, a thorough comparison of different energy consumption models, and a comprehensive study in a realistic environment of a university campus including indoor and outdoor propagation.


This work has been partially funded by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation program under Grant Agreement No. 101097083 (BeGREEN project) and by grants ARTIST (PID2020-115104RB-I00) and TRAINER-6G (PID2023- 146748OB-I00) funded by MCIN/AEI/10.13039/501100011033 and by ERDF/EU.


Peer Reviewed


Postprint (author's final draft)

Tipo de documento

Conference report

Lengua

Inglés

Publicado por

Institute of Electrical and Electronics Engineers (IEEE)

Documentos relacionados

https://ieeexplore.ieee.org/document/11036907

info:eu-repo/grantAgreement/EC/HE/101097083/EU/Beyond 5G Artificial Intelligence Assisted Energy Efficient Open Radio Access Network/BeGREEN

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115104RB-I00/ES/ACCESO RADIO INTELIGENTE CON INTEGRACION DE DISPOSITIVOS DE USUARIO/

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-146748OB-I00/ES/HACIA REDES DE ACCESO A RADIO AI-NATIVAS Y CONFIABLES PARA LA ERA 6G/

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Derechos

Open Access

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