RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT

Ahmet Esad Günesȩr; Berkay Şekeroǧlu; Sefa Kayraklik; Erhan Karakoca; Ibrahim Hökelek; Sultan Aldirmaz-Colak; Ali Görçin

doi:10.1109/VTC2025-Spring65109.2025.11174349

RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT

Ahmet Esad Günesȩr^*, Berkay Şekeroǧlu^*, Sefa Kayraklik^*, Erhan Karakoca^*, Ibrahim Hökelek^*, Sultan Aldirmaz-Colak, Ali Görçin^*

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper evaluates the performance of reconfigurable intelligent surface (RIS) optimization algorithms, which utilize channel estimation methods, in ray tracing (RT) simulations within urban digital twin environments. Beyond Sionna's native capabilities, we implement and benchmark additional RIS optimization algorithms based on channel estimation, enabling an evaluation of RIS strategies under various deployment conditions. Coverage maps for RIS-assisted communication systems are generated through the integration of Sionna's RT simulations. Moreover, real-world experimentation underscores the necessity of validating algorithms in near-realistic simulation environments, as minor variations in measurement setups can significantly affect performance.

Original language	English
Title of host publication	2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331531478
DOIs	https://doi.org/10.1109/VTC2025-Spring65109.2025.11174349
Publication status	Published - 2025
Event	101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025 - Oslo, Norway Duration: 17 Jun 2025 → 20 Jun 2025

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025
Country/Territory	Norway
City	Oslo
Period	17/06/25 → 20/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

6G
Hadamard
OMP
ray-tracing
RIS
Sionna
smart radio environment
software-defined radio

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10.1109/VTC2025-Spring65109.2025.11174349

Cite this

Günesȩr, A. E., Şekeroǧlu, B., Kayraklik, S., Karakoca, E., Hökelek, I., Aldirmaz-Colak, S., & Görçin, A. (2025). RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT. In 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings (IEEE Vehicular Technology Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2025-Spring65109.2025.11174349

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title = "RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT",

abstract = "This paper evaluates the performance of reconfigurable intelligent surface (RIS) optimization algorithms, which utilize channel estimation methods, in ray tracing (RT) simulations within urban digital twin environments. Beyond Sionna's native capabilities, we implement and benchmark additional RIS optimization algorithms based on channel estimation, enabling an evaluation of RIS strategies under various deployment conditions. Coverage maps for RIS-assisted communication systems are generated through the integration of Sionna's RT simulations. Moreover, real-world experimentation underscores the necessity of validating algorithms in near-realistic simulation environments, as minor variations in measurement setups can significantly affect performance.",

keywords = "6G, Hadamard, OMP, ray-tracing, RIS, Sionna, smart radio environment, software-defined radio",

author = "G{\"u}nesȩr, \{Ahmet Esad\} and Berkay {\c S}ekeroǧlu and Sefa Kayraklik and Erhan Karakoca and Ibrahim H{\"o}kelek and Sultan Aldirmaz-Colak and Ali G{\"o}r{\c c}in",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025 ; Conference date: 17-06-2025 Through 20-06-2025",

year = "2025",

doi = "10.1109/VTC2025-Spring65109.2025.11174349",

language = "English",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings",

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Günesȩr, AE, Şekeroǧlu, B, Kayraklik, S, Karakoca, E, Hökelek, I, Aldirmaz-Colak, S & Görçin, A 2025, RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT. in 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings. IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc., 101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025, Oslo, Norway, 17/06/25. https://doi.org/10.1109/VTC2025-Spring65109.2025.11174349

RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT. / Günesȩr, Ahmet Esad; Şekeroǧlu, Berkay; Kayraklik, Sefa et al.
2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Günesȩr, Ahmet Esad

AU - Şekeroǧlu, Berkay

AU - Kayraklik, Sefa

AU - Karakoca, Erhan

AU - Hökelek, Ibrahim

AU - Aldirmaz-Colak, Sultan

AU - Görçin, Ali

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N2 - This paper evaluates the performance of reconfigurable intelligent surface (RIS) optimization algorithms, which utilize channel estimation methods, in ray tracing (RT) simulations within urban digital twin environments. Beyond Sionna's native capabilities, we implement and benchmark additional RIS optimization algorithms based on channel estimation, enabling an evaluation of RIS strategies under various deployment conditions. Coverage maps for RIS-assisted communication systems are generated through the integration of Sionna's RT simulations. Moreover, real-world experimentation underscores the necessity of validating algorithms in near-realistic simulation environments, as minor variations in measurement setups can significantly affect performance.

AB - This paper evaluates the performance of reconfigurable intelligent surface (RIS) optimization algorithms, which utilize channel estimation methods, in ray tracing (RT) simulations within urban digital twin environments. Beyond Sionna's native capabilities, we implement and benchmark additional RIS optimization algorithms based on channel estimation, enabling an evaluation of RIS strategies under various deployment conditions. Coverage maps for RIS-assisted communication systems are generated through the integration of Sionna's RT simulations. Moreover, real-world experimentation underscores the necessity of validating algorithms in near-realistic simulation environments, as minor variations in measurement setups can significantly affect performance.

KW - 6G

KW - Hadamard

KW - OMP

KW - ray-tracing

KW - RIS

KW - Sionna

KW - smart radio environment

KW - software-defined radio

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U2 - 10.1109/VTC2025-Spring65109.2025.11174349

DO - 10.1109/VTC2025-Spring65109.2025.11174349

M3 - Conference contribution

AN - SCOPUS:105019050871

T3 - IEEE Vehicular Technology Conference

BT - 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025

Y2 - 17 June 2025 through 20 June 2025

ER -

Günesȩr AE, Şekeroǧlu B, Kayraklik S, Karakoca E, Hökelek I, Aldirmaz-Colak S et al. RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT. In 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2025. (IEEE Vehicular Technology Conference). doi: 10.1109/VTC2025-Spring65109.2025.11174349

RIS Optimization Algorithms for Urban Wireless Scenarios in Sionna RT

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