Low-Complexity Optimization for Near-Field STAR-RIS Uplink NOMA

We address an extremely large (XL) simultaneously transmitting and reflecting intelligent reconfigurable surface (STAR-RIS) to the uplink non-orthogonal multiple access (NOMA) to improve the sum rate. We reformulate the sum rate maximization problem to be solvable with a low-complexity nonlinear optimization algorithm and investigate the near-field effect of the STAR-RIS on the uplink NOMA according to the STAR-RIS array configurations.

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Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827710
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Low-Complexity Optimization for Near-Field STAR-RIS Uplink NOMA

Luiggi Cantos, S. J. Oh, Yun Hee Kim
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Satellite Communication Systems
article

Low-Complexity Optimization for Near-Field STAR-RIS Uplink NOMA

Luiggi Cantos, S. J. Oh, Yun Hee Kim
article en

Abstract

We address an extremely large (XL) simultaneously transmitting and reflecting intelligent reconfigurable surface (STAR-RIS) to the uplink non-orthogonal multiple access (NOMA) to improve the sum rate. We reformulate the sum rate maximization problem to be solvable with a low-complexity nonlinear optimization algorithm and investigate the near-field effect of the STAR-RIS on the uplink NOMA according to the STAR-RIS array configurations.

Kyung Hee University (KR)
National Research Foundation of Korea
Climate action
Openalex Percentile: Top 57%
Satellite Communication Systems
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