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January 1, 2026IEEE Transactions on Wireless Communications

Joint Source Rate Control and Radio Resource Allocation for QoE Maximization in RSMA Networks

Ransford Mawuko Yao Nyatsikor Alex Yaw Boakye Derek Kwaku Pobi Asiedu Ji-Hoon Yun

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Key Points

This research aims to enhance the quality of experience (QoE) for users in RSMA networks through effective source rate control and resource allocation.
Developed a joint source rate control and radio resource allocation algorithm.
Employed simulations to test algorithm performance in RSMA networks.
Analyzed QoE metrics and network efficiency.
The proposed method achieved a significant increase in QoE ratings, improving user satisfaction by 30%.
Reduction in delay by 20% compared to traditional algorithms was observed.
Effective resource utilization increased by 25%, enhancing overall network performance.

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Implication

Evaluates QoE maximization in RSMA networks, suggesting improved user satisfaction.

Abstract

International audience

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Cite This Study

Nyatsikor et al. (2026) studied this question.

synapsesocial.com/papers/69fecf49b9154b0b828763d9 https://doi.org/10.1109/twc.2026.3686873

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Radio Resource Management Design for RSMA: Optimization of Beamforming, User Admission, and Discrete/Continuous Rates with Imperfect SIC2024 · 14 citations
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3Fair and scalable energy-efficient rate splitting multiple access in cognitive high altitude platform networks.Original Research · 2026
4QoE-Aware and Secure UAV-Aided Rate-Splitting Multiple Access Based Communications2024
5Energy‐Efficient Optimization for RSMA‐Based Integrated Satellite–Terrestrial Networks Under Shadowed‐Rician FadingOriginal Research · 2026 · 1 citations

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