Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks With HAP Assistance

This paper proposes a novel network architecture integrating a non-terrestrial network (NTN) with low-earth orbit (LEO) satellites and high-altitude platforms (HAPs) and terrestrial network (TN) with ground base stations under rate-splitting multiple access (RSMA) to enhance spectral efficiency (SE). A new resource allocation strategy is developed for efficient resource utilization across all layers. A joint resource block and power control framework (JRPS) is formulated to maximize sum-rate under quality-of-service (QoS) constraints. The non-convex JRPS problem is reformulated as a linear program and solved using an iterative successive convex approximation algorithm that ensures local optimality. Additionally, a heuristic resource allocation and power control method is also proposed to provide an effective initialization for JRPS and to serve as a performance baseline. Simulations confirm the superior performance of the proposed JRPS framework over existing benchmarks. Specifically, the proposed scheme achieves an average sum-rate improvement of up to 80% compared to conventional baselines without RSMA and up to 60% compared to RSMA combined with other allocation methods. Moreover, it ensures that approximately 90% of ground stations achieve an SE above 0.5 bps/Hz, significantly outperforming alternative strategies. Notably, integrating both LEO satellites and HAPs yields better performance than using either one alone.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3597313
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks With HAP Assistance

Young Soo Jeon, Thong‐Nhat Tran, Taejoon Kim, Heejung Yu
IEEE Access
Advanced MIMO Systems Optimization
article

Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks With HAP Assistance

Young Soo Jeon, Thong‐Nhat Tran, Taejoon Kim, Heejung Yu
article en

Abstract

This paper proposes a novel network architecture integrating a non-terrestrial network (NTN) with low-earth orbit (LEO) satellites and high-altitude platforms (HAPs) and terrestrial network (TN) with ground base stations under rate-splitting multiple access (RSMA) to enhance spectral efficiency (SE). A new resource allocation strategy is developed for efficient resource utilization across all layers. A joint resource block and power control framework (JRPS) is formulated to maximize sum-rate under quality-of-service (QoS) constraints. The non-convex JRPS problem is reformulated as a linear program and solved using an iterative successive convex approximation algorithm that ensures local optimality. Additionally, a heuristic resource allocation and power control method is also proposed to provide an effective initialization for JRPS and to serve as a performance baseline. Simulations confirm the superior performance of the proposed JRPS framework over existing benchmarks. Specifically, the proposed scheme achieves an average sum-rate improvement of up to 80% compared to conventional baselines without RSMA and up to 60% compared to RSMA combined with other allocation methods. Moreover, it ensures that approximately 90% of ground stations achieve an SE above 0.5 bps/Hz, significantly outperforming alternative strategies. Notably, integrating both LEO satellites and HAPs yields better performance than using either one alone.

IEEE AccessVol. 13
Chungbuk National University (KR), Korea University (KR)
National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 82%
Advanced MIMO Systems Optimization
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Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks With HAP Assistance — Young Soo Jeon, Thong‐Nhat Tran, et al. · IEEE Access (2025) | TGRS Research Map | TGRS