Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks

Madi Makin; Sultangali Arzykulov; Khaled M. Rabie; Galymzhan Nauryzbayev

doi:10.1109/CSNDSP54353.2022.9907962

Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks

Madi Makin
, Sultangali Arzykulov
, Khaled M. Rabie
, Galymzhan Nauryzbayev

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

2 Scopus citations

Abstract

Low latency, high-data rates, and massive connectivity are the requirements for the emerging wireless technologies that will give a chance to high-demanding and progressive innovations in many spheres. Reconfigurable intelligent surfaces (RISs) are considered to be a promising technology for the rising wireless communication standards. This paper studies the large intelligent surface (LIS) enabled wireless network deploying non-orthogonal multiple access (NOMA) over Nakagami-m channels with non-fixed LIS positions. We propose the LIS partitioning method, where various LIS elements serve different NOMA users depending on their quality of service. Moreover, we also examine the effect of imperfect successive interference cancellation, the number of LIS elements, and their allocation amongst the users. The simulations and followed-up discussions are provided regarding the system's ergodic capacity measurements.

Original language	English
Title of host publication	2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	379-383
Number of pages	5
ISBN (Electronic)	9781665410441
DOIs	https://doi.org/10.1109/CSNDSP54353.2022.9907962
State	Published - 2022
Externally published	Yes
Event	13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022 - Porto, Portugal Duration: 20 Jul 2022 → 22 Jul 2022

Publication series

Name	2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022

Conference

Conference	13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022
Country/Territory	Portugal
City	Porto
Period	20/07/22 → 22/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Ergodic capacity
large intelligent surface (LIS)
non-orthogonal multiple access (NOMA)
outage probability (OP)

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Safety, Risk, Reliability and Quality
Instrumentation
Atomic and Molecular Physics, and Optics

Access to Document

10.1109/CSNDSP54353.2022.9907962

Cite this

Makin, M., Arzykulov, S., Rabie, K. M., & Nauryzbayev, G. (2022). Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022 (pp. 379-383). (2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSNDSP54353.2022.9907962

Makin, Madi ; Arzykulov, Sultangali ; Rabie, Khaled M. et al. / Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks. 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 379-383 (2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022).

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title = "Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks",

abstract = "Low latency, high-data rates, and massive connectivity are the requirements for the emerging wireless technologies that will give a chance to high-demanding and progressive innovations in many spheres. Reconfigurable intelligent surfaces (RISs) are considered to be a promising technology for the rising wireless communication standards. This paper studies the large intelligent surface (LIS) enabled wireless network deploying non-orthogonal multiple access (NOMA) over Nakagami-m channels with non-fixed LIS positions. We propose the LIS partitioning method, where various LIS elements serve different NOMA users depending on their quality of service. Moreover, we also examine the effect of imperfect successive interference cancellation, the number of LIS elements, and their allocation amongst the users. The simulations and followed-up discussions are provided regarding the system's ergodic capacity measurements.",

keywords = "Ergodic capacity, large intelligent surface (LIS), non-orthogonal multiple access (NOMA), outage probability (OP)",

author = "Madi Makin and Sultangali Arzykulov and Rabie, \{Khaled M.\} and Galymzhan Nauryzbayev",

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year = "2022",

doi = "10.1109/CSNDSP54353.2022.9907962",

language = "English",

series = "2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022",

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Makin, M, Arzykulov, S, Rabie, KM & Nauryzbayev, G 2022, Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks. in 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022. 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022, Institute of Electrical and Electronics Engineers Inc., pp. 379-383, 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022, Porto, Portugal, 20/07/22. https://doi.org/10.1109/CSNDSP54353.2022.9907962

Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks. / Makin, Madi; Arzykulov, Sultangali; Rabie, Khaled M. et al.
2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 379-383 (2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022).

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

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AU - Nauryzbayev, Galymzhan

PY - 2022

Y1 - 2022

N2 - Low latency, high-data rates, and massive connectivity are the requirements for the emerging wireless technologies that will give a chance to high-demanding and progressive innovations in many spheres. Reconfigurable intelligent surfaces (RISs) are considered to be a promising technology for the rising wireless communication standards. This paper studies the large intelligent surface (LIS) enabled wireless network deploying non-orthogonal multiple access (NOMA) over Nakagami-m channels with non-fixed LIS positions. We propose the LIS partitioning method, where various LIS elements serve different NOMA users depending on their quality of service. Moreover, we also examine the effect of imperfect successive interference cancellation, the number of LIS elements, and their allocation amongst the users. The simulations and followed-up discussions are provided regarding the system's ergodic capacity measurements.

AB - Low latency, high-data rates, and massive connectivity are the requirements for the emerging wireless technologies that will give a chance to high-demanding and progressive innovations in many spheres. Reconfigurable intelligent surfaces (RISs) are considered to be a promising technology for the rising wireless communication standards. This paper studies the large intelligent surface (LIS) enabled wireless network deploying non-orthogonal multiple access (NOMA) over Nakagami-m channels with non-fixed LIS positions. We propose the LIS partitioning method, where various LIS elements serve different NOMA users depending on their quality of service. Moreover, we also examine the effect of imperfect successive interference cancellation, the number of LIS elements, and their allocation amongst the users. The simulations and followed-up discussions are provided regarding the system's ergodic capacity measurements.

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M3 - Conference contribution

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ER -

Makin M, Arzykulov S, Rabie KM, Nauryzbayev G. Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 379-383. (2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022). doi: 10.1109/CSNDSP54353.2022.9907962

Performance Enhancement via Partitioning Large Intelligent Surfaces in Downlink NOMA Networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this