DT-Aided Resource Management in Spectrum Sharing Integrated Satellite-Terrestrial Networks
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866913962408280064 |
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| author | Nguyen-Kha, Hung Ha, Vu Nguyen Nguyen, Ti Ti Lagunas, Eva Chatzinotas, Symeon Grotz, Joel |
| author_facet | Nguyen-Kha, Hung Ha, Vu Nguyen Nguyen, Ti Ti Lagunas, Eva Chatzinotas, Symeon Grotz, Joel |
| contents | The integrated satellite-terrestrial networks (ISTNs) through spectrum sharing have emerged as a promising solution to improve spectral efficiency and meet increasing wireless demand. However, this coexistence introduces significant challenges, including inter-system interference (ISI) and the low Earth orbit satellite (LSat) movements. To capture the actual environment for resource management, we propose a time-varying digital twin (DT)-aided framework for ISTNs incorporating 3D map that enables joint optimization of bandwidth (BW) allocation, traffic steering, and resource allocation, and aims to minimize congestion. The problem is formulated as a mixed-integer nonlinear programming (MINLP), addressed through a two-phase algorithm based on successive convex approximation (SCA) and compressed sensing approaches. Numerical results demonstrate the proposed method's superior performance in queue length minimization compared to benchmarks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_20789 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | DT-Aided Resource Management in Spectrum Sharing Integrated Satellite-Terrestrial Networks Nguyen-Kha, Hung Ha, Vu Nguyen Nguyen, Ti Ti Lagunas, Eva Chatzinotas, Symeon Grotz, Joel Signal Processing The integrated satellite-terrestrial networks (ISTNs) through spectrum sharing have emerged as a promising solution to improve spectral efficiency and meet increasing wireless demand. However, this coexistence introduces significant challenges, including inter-system interference (ISI) and the low Earth orbit satellite (LSat) movements. To capture the actual environment for resource management, we propose a time-varying digital twin (DT)-aided framework for ISTNs incorporating 3D map that enables joint optimization of bandwidth (BW) allocation, traffic steering, and resource allocation, and aims to minimize congestion. The problem is formulated as a mixed-integer nonlinear programming (MINLP), addressed through a two-phase algorithm based on successive convex approximation (SCA) and compressed sensing approaches. Numerical results demonstrate the proposed method's superior performance in queue length minimization compared to benchmarks. |
| title | DT-Aided Resource Management in Spectrum Sharing Integrated Satellite-Terrestrial Networks |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2507.20789 |