Semantic Transmission Framework in Direct Satellite Communications
Fuente:
arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866915820880265216 |
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| author | Huang, Chong Chen, Xuyang Cui, Jingjing Li, Jingfu Xiao, Pei Chen, Gaojie Tafazolli, Rahim |
| author_facet | Huang, Chong Chen, Xuyang Cui, Jingjing Li, Jingfu Xiao, Pei Chen, Gaojie Tafazolli, Rahim |
| contents | Insufficient link budget has become a bottleneck problem for direct access in current satellite communications. In this paper, we develop a semantic transmission framework for direct satellite communications as an effective and viable solution to tackle this problem. To measure the tradeoffs between communication, computation, and generation quality, we introduce a semantic efficiency metric with optimized weights. The optimization aims to maximize the average semantic efficiency metric by jointly optimizing transmission mode selection, satellite-user association, ISL task migration, denoising steps, and adaptive weights, which is a complex nonlinear integer programming problem. To maximize the average semantic efficiency metric, we propose a decision-assisted REINFORCE++ algorithm that utilizes feasibility-aware action space and a critic-free stabilized policy update. Numerical results show that the proposed algorithm achieves higher semantic efficiency than baselines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_00381 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Semantic Transmission Framework in Direct Satellite Communications Huang, Chong Chen, Xuyang Cui, Jingjing Li, Jingfu Xiao, Pei Chen, Gaojie Tafazolli, Rahim Information Theory Signal Processing Insufficient link budget has become a bottleneck problem for direct access in current satellite communications. In this paper, we develop a semantic transmission framework for direct satellite communications as an effective and viable solution to tackle this problem. To measure the tradeoffs between communication, computation, and generation quality, we introduce a semantic efficiency metric with optimized weights. The optimization aims to maximize the average semantic efficiency metric by jointly optimizing transmission mode selection, satellite-user association, ISL task migration, denoising steps, and adaptive weights, which is a complex nonlinear integer programming problem. To maximize the average semantic efficiency metric, we propose a decision-assisted REINFORCE++ algorithm that utilizes feasibility-aware action space and a critic-free stabilized policy update. Numerical results show that the proposed algorithm achieves higher semantic efficiency than baselines. |
| title | Semantic Transmission Framework in Direct Satellite Communications |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2601.00381 |