{"ID":2889621,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.20789","arxiv_id":"2507.20789","title":"DT-Aided Resource Management in Spectrum Sharing Integrated Satellite-Terrestrial Networks","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2507.20789","url_pdf":"https://arxiv.org/pdf/2507.20789v1","authors":"[\"Hung Nguyen-Kha\",\"Vu Nguyen Ha\",\"Ti Ti Nguyen\",\"Eva Lagunas\",\"Symeon Chatzinotas\",\"Joel Grotz\"]","published":"2025-07-28T13:00:40Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}