Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks

Zhandos Zhakipov; Galymzhan Nauryzbayev

doi:10.1109/ICTC55196.2022.9952786

Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks

Zhandos Zhakipov, Galymzhan Nauryzbayev

Nazarbayev University

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

1 Citation (Scopus)

Abstract

Reconfigurable intelligent surfaces (RISs) are a new innovative technology that will revolutionize beyond 5G wireless networks. This paper investigates the performance of cascaded RIS-aided wireless networks in terms of the outage probability (OP) over Nakagami-m fading channels. An efficient approximation method is provided to find the probability distribution function (PDF) and OP for the effective end-to-end communication. Obtained PDF and OP expressions are valid for any number of cascaded RISs and reflecting elements per individual RIS, N. Analytical results are corroborated with Monte Carlo simulations under different system parameters. Results reveal that the increase in the fading parameter m and number N per RIS improves the outage performance of the system.

Original language	English
Title of host publication	ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publication	Accelerating Digital Transformation with ICT Innovation
Publisher	IEEE Computer Society
Pages	187-192
Number of pages	6
ISBN (Electronic)	9781665499392
DOIs	https://doi.org/10.1109/ICTC55196.2022.9952786
Publication status	Published - 2022
Event	13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of Duration: Oct 19 2022 → Oct 21 2022

Publication series

Name	International Conference on ICT Convergence
Volume	2022-October
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/Territory	Korea, Republic of
City	Jeju Island
Period	10/19/22 → 10/21/22

Funding

VI. ACKNOWLEDGMENT This work is supported by the Nazarbayev University CRP under Grant no. 11022021CRP1513. This research was also funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant no. AP13068122).

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC55196.2022.9952786

Cite this

Zhakipov, Z., & Nauryzbayev, G. (2022). Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks. In ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation (pp. 187-192). (International Conference on ICT Convergence; Vol. 2022-October). IEEE Computer Society. https://doi.org/10.1109/ICTC55196.2022.9952786

Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks. / Zhakipov, Zhandos; Nauryzbayev, Galymzhan.
ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. IEEE Computer Society, 2022. p. 187-192 (International Conference on ICT Convergence; Vol. 2022-October).

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

Zhakipov, Z & Nauryzbayev, G 2022, Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks. in ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. International Conference on ICT Convergence, vol. 2022-October, IEEE Computer Society, pp. 187-192, 13th International Conference on Information and Communication Technology Convergence, ICTC 2022, Jeju Island, Korea, Republic of, 10/19/22. https://doi.org/10.1109/ICTC55196.2022.9952786

Zhakipov Z, Nauryzbayev G. Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks. In ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. IEEE Computer Society. 2022. p. 187-192. (International Conference on ICT Convergence). doi: 10.1109/ICTC55196.2022.9952786

Zhakipov, Zhandos ; Nauryzbayev, Galymzhan. / Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks. ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. IEEE Computer Society, 2022. pp. 187-192 (International Conference on ICT Convergence).

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abstract = "Reconfigurable intelligent surfaces (RISs) are a new innovative technology that will revolutionize beyond 5G wireless networks. This paper investigates the performance of cascaded RIS-aided wireless networks in terms of the outage probability (OP) over Nakagami-m fading channels. An efficient approximation method is provided to find the probability distribution function (PDF) and OP for the effective end-to-end communication. Obtained PDF and OP expressions are valid for any number of cascaded RISs and reflecting elements per individual RIS, N. Analytical results are corroborated with Monte Carlo simulations under different system parameters. Results reveal that the increase in the fading parameter m and number N per RIS improves the outage performance of the system.",

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AB - Reconfigurable intelligent surfaces (RISs) are a new innovative technology that will revolutionize beyond 5G wireless networks. This paper investigates the performance of cascaded RIS-aided wireless networks in terms of the outage probability (OP) over Nakagami-m fading channels. An efficient approximation method is provided to find the probability distribution function (PDF) and OP for the effective end-to-end communication. Obtained PDF and OP expressions are valid for any number of cascaded RISs and reflecting elements per individual RIS, N. Analytical results are corroborated with Monte Carlo simulations under different system parameters. Results reveal that the increase in the fading parameter m and number N per RIS improves the outage performance of the system.

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Channel Modeling and Outage Performance of Cascaded RIS-empowered Wireless Networks

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