Power Allocation and RIS Elements Optimisation for Reconfigurable Intelligent Surfaces assisted RSMA

Fuente: arXiv
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Main Authors: Qayyum, Abdullah, Nekovee, Maziar
Format: Preprint
Published: 2025
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author Qayyum, Abdullah
Nekovee, Maziar
author_facet Qayyum, Abdullah
Nekovee, Maziar
contents This paper proposes power allocation and the number of reconfigurable intelligent surfaces (RIS) elements optimisation in a RIS-assisted rate splitting multiple access (RSMA) system. The optimised RIS-RSMA (ORIS-RSMA) method determines the optimal number of RIS elements and the power allocation factors for both common and private parts of a message. Additionally, it maximises the sum rate while ensuring that a target common rate is satisfied. The performance of the proposed ORIS-RSMA is compared to that of the conventional RIS-RSMA and RSMA. Simulation results show that ORIS-RSMA achieves a higher sum rate.
format Preprint
id arxiv_https___arxiv_org_abs_2507_17419
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Power Allocation and RIS Elements Optimisation for Reconfigurable Intelligent Surfaces assisted RSMA
Qayyum, Abdullah
Nekovee, Maziar
Signal Processing
This paper proposes power allocation and the number of reconfigurable intelligent surfaces (RIS) elements optimisation in a RIS-assisted rate splitting multiple access (RSMA) system. The optimised RIS-RSMA (ORIS-RSMA) method determines the optimal number of RIS elements and the power allocation factors for both common and private parts of a message. Additionally, it maximises the sum rate while ensuring that a target common rate is satisfied. The performance of the proposed ORIS-RSMA is compared to that of the conventional RIS-RSMA and RSMA. Simulation results show that ORIS-RSMA achieves a higher sum rate.
title Power Allocation and RIS Elements Optimisation for Reconfigurable Intelligent Surfaces assisted RSMA
topic Signal Processing
url https://arxiv.org/abs/2507.17419