z-logo
open-access-imgOpen Access
Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks with HAP Assistance
Author(s) -
Thong-Nhat Tran,
Young Jeon,
Heejung Yu,
Taejoon Kim
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3597313
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom