RIS for 5G and Beyond: A Bibliometric Survey

Main Article Content

Liya Yusrina Sabila
Puteri Hayati
Murtiatmi Warnaningtyas
Flaurencia Irene Mulya Irawati

Abstract

The rapid advancement of 5G technology has sparked significant interest and investment in research and development across various domains. As the world transitions towards the era of 5G and beyond, understanding the research landscape becomes imperative for guiding future innovations and investments. This article presents a comprehensive bibliometric survey of research in the realm of reconfigurable intelligent surface (RIS) for 5G and its evolutionary successors. Through systematic analysis of scholarly publications, this survey maps the trends, key contributors, influential works, and emerging themes within the field. By synthesizing data from diverse sources, including academic journals and conference proceedings, this survey offers insights into the evolution of RIS technologies, identifies prominent research clusters, and outlines potential directions for future investigation. Furthermore, it sheds light on the interdisciplinary nature of RIS research, spanning areas such as telecommunications, signal processing, antenna design, and network optimization. This bibliometric survey serves as a valuable resource for researchers and practitioners to navigate the complex landscape of 5G innovation and shape the trajectory of future wireless communication systems.

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How to Cite
Yusrina Sabila, L., Hayati, P., Warnaningtyas, M., & Irene Mulya Irawati , F. (2024). RIS for 5G and Beyond: A Bibliometric Survey. Bincang Sains Dan Teknologi, 3(02), 60–77. https://doi.org/10.56741/bst.v3i02.616
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Articles
Author Biographies

Liya Yusrina Sabila, Electrical Engineering Study Program

received her B.Eng. degree in Electrical Engineering in 2017, and her M.Eng. degree in Electrical Engineering in 2021, both from Universitas Diponegoro, Semarang, Indonesia. Currently, she is working as a Junior Lecturer and a researcher at the Electrical Engineering Department, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Indonesia. Her research interest is in antenna and propagation, especially small antenna design (email: liya.sabila@te.uad.ac.id).

Puteri Hayati, Universitas Ahmad Dahlan

is a graduate student of the Master of Physics Education Program, Universitas Ahmad Dahlan, Yogyakarta, Indonesia. She has published her works in several scientific journals. Her research interests include physics education and physics technology for learning.

Murtiatmi Warnaningtyas, Universitas Ahmad Dahlan

is a graduate student of the Master of Physics Education Program, Universitas Ahmad Dahlan, Yogyakarta, Indonesia. She has been a presenter at various academic conferences. Her research interests include physics education and learning technology.

Flaurencia Irene Mulya Irawati , Universitas Ahmad Dahlan

is a graduate student of the Master of Physics Education Program, Universitas Ahmad Dahlan, Yogyakarta, Indonesia. She has several publications in both journals and conferences. She is interested in physics education and educational technology.

Received 2024-06-02
Accepted 2024-06-22
Published 2024-06-29

Funding data

Plaudit

References

H. Hui, Y. Ding, Q. Shi, F. Li, Y. Song, and J. Yan, “5G network-based Internet of Things for demand response in smart grid: A survey on application potential,” Appl. Energy, vol. 257, no. October 2019, p. 113972, 2020, doi: 10.1016/j.apenergy.2019.113972.

R. Pawlak, P. Krawiec, and J. Zurek, “On measuring electromagnetic fields in 5g technology,” IEEE Access, vol. 7, pp. 29826–29835, 2019, doi: 10.1109/ACCESS.2019.2902481.

A. N. Uwaechia and N. M. Mahyuddin, “A comprehensive survey on millimeter wave communications for fifth-generation wireless networks: Feasibility and challenges,” IEEE Access, vol. 8, pp. 62367–62414, 2020, doi: 10.1109/ACCESS.2020.2984204.

Z. Wang et al., “Vision, application scenarios, and key technology trends for 6G mobile communications,” Sci. China Inf. Sci., vol. 65, no. 5, pp. 1–27, 2022, doi: 10.1007/s11432-021-3351-5.

Y. Xu, G. Gui, H. Gacanin, and F. Adachi, “A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges,” IEEE Commun. Surv. Tutorials, vol. 23, no. 2, pp. 668–695, 2021, doi: 10.1109/COMST.2021.3059896.

E. Basar, M. Di Renzo, J. De Rosny, M. Debbah, M. S. Alouini, and R. Zhang, “Wireless communications through reconfigurable intelligent surfaces,” IEEE Access, vol. 7, no. June 2018, pp. 116753–116773, 2019, doi: 10.1109/ACCESS.2019.2935192.

E. Bjornson and L. Sanguinetti, “Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces,” IEEE Wirel. Commun. Lett., vol. 10, no. 4, pp. 830–834, 2021, doi: 10.1109/LWC.2020.3046107.

E. Bjornson, O. Ozdogan, and E. G. Larsson, “Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions,” IEEE Commun. Mag., vol. 58, no. 12, pp. 90–96, 2020, doi: 10.1109/MCOM.001.2000407.

R. Fara, P. Ratajczak, D.-T. Phan-Huy, A. Ourir, M. Di Renzo, and J. De Rosny, “A Prototype of Reconfigurable Intelligent Surface with Continuous Control of the Reflection Phase Modeling, Full-Wave Electromagnetic Characterization, Experimental Validation, and Application to Ambient Backscatter Communications.”

M. A. Elmossallamy, H. Zhang, L. Song, K. G. Seddik, Z. Han, and G. Y. Li, “Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities,” IEEE Trans. Cogn. Commun. Netw., vol. 6, no. 3, pp. 990–1002, 2020, doi: 10.1109/TCCN.2020.2992604.

T. Lan, K. Huang, L. Jin, X. Xu, X. Sun, and Z. Zhong, “DOA Estimation Algorithm for Reconfigurable Intelligent Surface Co-Prime Linear Array Based on Multiple Signal Classification Approach,” Inf., vol. 13, no. 2, 2022, doi: 10.3390/info13020072.

T. Sharma, A. Chehri, and P. Fortier, “Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey,” Energies, vol. 14, no. 24, p. 8219, 2021, doi: 10.3390/en14248219.

Y. Saifullah, Y. He, A. Boag, G. M. Yang, and F. Xu, “Recent Progress in Reconfigurable and Intelligent Metasurfaces: A Comprehensive Review of Tuning Mechanisms, Hardware Designs, and Applications,” Adv. Sci., vol. 9, no. 33, pp. 1–35, 2022, doi: 10.1002/advs.202203747.

S. Kisseleff, W. A. Martins, H. Al-Hraishawi, S. Chatzinotas, and B. Ottersten, “Reconfigurable Intelligent Surfaces for Smart Cities: Research Challenges and Opportunities,” IEEE Open J. Commun. Soc., vol. 1, no. November, pp. 1781–1797, 2020, doi: 10.1109/OJCOMS.2020.3036839.

A. Khaleel and E. Basar, “Reconfigurable Intelligent Surface-Empowered MIMO Systems,” IEEE Syst. J., pp. 1–9, 2020, doi: 10.1109/JSYST.2020.3011987.

J. C. B. Garcia, A. Sibille, and M. Kamoun, “Reconfigurable Intelligent Surfaces: Bridging the Gap between Scattering and Reflection,” IEEE J. Sel. Areas Commun., vol. 38, no. 11, pp. 2538–2547, 2020, doi: 10.1109/JSAC.2020.3007037.

M. Munochiveyi, A. C. Pogaku, D. T. Do, A. T. Le, M. Voznak, and N. D. Nguyen, “Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues,” IEEE Access, vol. 9, pp. 118584–118605, 2021, doi: 10.1109/ACCESS.2021.3107316.

S. Hassouna et al., “A survey on reconfigurable intelligent surfaces: Wireless communication perspective,” IET Commun., vol. 17, no. 5, pp. 497–537, 2023, doi: 10.1049/cmu2.12571.

F. Maresca, A. Albanese, P. Mursia, V. Sciancalepore, and X. Costa-Perez, “A Frequency-Agnostic RIS-based solution to control the Smart Radio Propagation Environment,” IEEE Work. Signal Process. Adv. Wirel. Commun. SPAWC, vol. 2022-July, no. March, 2022, doi: 10.1109/SPAWC51304.2022.9833933.